Low Latency Network Engineer We are seeking an experienced Network Engineer to join our latency-critical trading infrastructure team in the Bangalore office. As part of our global team of network engineers spanning AMER, EMEA, and APAC, you will be responsible for the architecture, design, development, deployment, and support of Millennium s high-performance global trading networks, which require exceptional uptime and utilize cutting-edge technologies. This role involves designing, implementing, and operating network solutions in datacenters (both co-located and remote) worldwide, focusing on market data and order entry. Principal Responsibilities Senior Engineering Role: Focus on low-latency network technologies, balancing project management and operational tasks within the low-latency trading environment, including market data, trading, and co-location design. Project Management: Own and manage global network projects from inception to completion, including requirement gathering, design, cost analysis, and implementation. Innovation Lead: Research and introduce new network technologies to the firm, such as RF technologies, low-latency transport, routing/switching, and compute technologies. Network Configuration and Support: Configure, install, maintain, and support critical software and hardware components of the network. Research, price, and implement data circuits. Design and implement high-availability, low-latency market data networks. High Precision Timing: Implement and maintain high precision timing protocols such as PTP (Precision Time Protocol) and PPS (Pulse Per Second) to ensure network accuracy and synchronization. Network Infrastructure: Deploy, support, and troubleshoot the network infrastructure. Document IT infrastructure, policies, and procedures, and provide general user support. Participate in after-hours work and an on-call rotation. Qualifications/Skills Required Expert in low latency network technologies - Including Multicast (IGMP, PIM), L2/L3, WAN Design, expert in routing. Expert in data capture setup, timestamping knowledge and aggregation configuration. Minimum of 10 years of experience in a network engineering, operations, and support. Experience with Arista, Cisco and Layer 1 switches. Knowledge of FPGA and high-performance computer technology is a plus. Proven ability to work hands on and take on a strong technical ownership capability in a global organization. Expert knowledge and troubleshooting of IP networking, TCP/IP. Experience with Python and bash. Knowledge of scripting to automate tasks. Strong Linux shell experience. Strong interpersonal and written communication skills. Proven ability operating in a fast-paced environment. Passion for providing a high level of service and support to internal customers.

Research Analyst Responsibilities: This role will be a part of an Asia Fundamental Equities investment team, working closely with an experienced Senior Portfolio Manager and other team members. Key responsibilities include: 1) Data science and automation projects ; b) Assist Senior Analysts and Portfolio Managers with fundamental research and analysis; 3) Build up coverage of stocks/sectors within the Indian market. Requirements: Up to 5 years of experience Proficient in python or other programing knowledge Basic understanding about financial markets Location: Mumbai

Treasury Operations Manager - NAM Shift Summary: Treasury Manager is responsible for the Treasury Ops team in Bangalore who are responsible for reconciling over the counter (OTC) trades and positions, agreeing ISDA, SIMM and REPO margin calls and processing cash settlements on OTC transactions. Someone who is comfortable doing NAM shift. Individual should be having proven people and process management and process risk management experience Key Responsibilities: Lead the India Treasury Ops Team, attract, retain and develop talent, create the right culture in the team of urgency, escalation, risk understanding and excellence in delivery The manager is expected to steer the team and lead as example, strategically contribute towards the organizational delivery of build out of India Team over next few years Review and agree to ISDA, SIMM and REPO margin calls and resolve any issues or discrepancies that may arise in the processing of margin calls. Validate and agree payments associated with OTC transactions. Investigate discrepancies and resolve any issues in a timely manner, coordination between counterparts and internal departments. Reconcile T+1 OTC cash, trade and position data on a daily basis to ensure accuracy and completeness. Resolve position discrepancies vs executing and clearing brokers. Book wires to instruct payments and receipts of cash to and from counterparts. Monitor non-USD currency balances. Ensure that all relevant policies and procedures are followed in the processing of margin calls Requirements: Relevant experience required between 16+ Years. Undergraduate Degree or above is preferred. Past experience in OTC margin and/or operations teams. Understanding of ISDA/REPO CSA agreements. Knowledge of uncleared margin rules and processes. Strong attention to detail and ability to work accurately and efficiently under pressure. Proactive desire to improve processes to drive efficiency and reduce risk. Knowledge of OTC products in Rates, FX, Equity and Commodity asset classes. Understanding of swift payment instructions and mechanics. Excellent organizational and communication skills. Ability to work independently and as part of a team. Strong numerical and analytical skills. Strong Excel knowledge (including macros/VBA).

ServiceNow Senior Developer ServiceNow Senior Developer General Information Hiring Department/Group: IT Service Management Job Title: ServiceNow Senior Developer Office Location: Bangalore Job Function Summary Millennium is looking to hire a seasoned ServiceNow Developer to join our ServiceNow team focusing on system automation, workflow development, and integrations with internal and external applications. The ideal candidate has extensive experience in the SDLC methodology, Agile SCRUM, development methodologies, test cases, test execution and reporting. This candidate will also serve as a Team Lead within our Bangalore office. Principal Responsibilities Develop new ServiceNow applications and enhancements from business requirements and/or technical design documents Maintain consistent delivery of application solutions throughout the product suite by following development standards and the architecture framework Work with stakeholders to design scalable solutions that meet business requirements and can be easily maintained Develop and manage application code, user interface, and third-party integration components Recognize and report issues before they adversely impact the testing schedule and projects Coordinate/facilitate load testing and performance testing activities for our software platform Develop necessary development documentation as needed (e.g. technical design, developer notes, etc.) Participate in daily operations of ServiceNow team Act as primary ServiceNow Lead for our APAC region offices Serve as a Team Lead for our Bangalore office Qualifications/Skills Required Bachelor degree in Computer Science or related field Minimum 12 years of ServiceNow development experience 8+ years of JavaScript development experience 8+ year Experience in Web technologies (REST, Web Services, XML, Ajax, Python) 8+ year Experience with Front-end frameworks: Angular and/or React.js Experience with Source Control Software - Git Experience with the SDLC including Requirements Analysis, Design, Installation, Development, Testing (application code and user acceptance), and Deployment Strong technical documentation skills Strong communication skills with a collaborative approach Attention to details and strong ownership of work ITIL v3 Certification is a plus SQL experience is highly desired Experience leading a team of developers/engineers

Quantitative Developer - Python Quantitative Developer (Python) Location: Bangalore Experience: 2-5 Years Team: Enterprise Risk Technology About the role: Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. The Enterprise Risk Technology team is looking for Quantitative Developer. The developer will leverage Python, FastAPI/Django, AWS, and data manipulation libraries to provide data-driven solutions to stakeholders. Responsibilities: Work closely with quants, risk managers and other technologists in New York, London and Singapore to develop multi-asset analytics, stress and VaR for our in-house risk platform Develop micro-services using Python and analyze data with pandas/polars. Create and manage cloud applications on AWS. Utilize GIT and appropriate DBMS solutions Required skills/experience: Strong analytical skills problem solving capabilities Experience working with python, and data analysis libraries (Pandas/Polars) Experience with REST APIs and cloud services Relational SQL database development experience Unix/Linux command-line experience Desirable skills/experience: AWS cloud services: EC2, S3, Aurora, Redshift, etc Identity and Access Management: Kerberos, OAuth 2.0, LDAP Broad understanding of financial services instruments. Bachelor s degree in Computer Science Engineering from Tier 1 colleges.

Quantitative Trading Compliance Analyst Responsibilities - Assist with the administration of the Firm s Media Transfer process, which is designed to ensure proper approval and documentation of files entering or leaving Firm systems, for Trading Groups that deploy Systematic and Quantitative Trading Strategies. Help to review materials to verify that files entering or leaving Firm systems do not violate the Firm s internal policies as well as contractual, legal or regulatory obligations. Respond to requests to initiate Media Transfer processes received from Trading Groups. Track requests and provide regular updates regarding the status of in-progress materials reviews. Engage with Technology teams to ensure process continuity for each Media Transfer request. Qualifications/Skills Required - 2+ years of experience at a technology firm, bank/broker, buy-side firm, or similar organization. Bachelor s degree in computer science, Finance, Economics or similar with a strong academic record. An understanding of model-based trading and investment/execution algorithms is preferred. General understanding of programming languages such as Python is strongly preferred. Understanding of Artificial Intelligence and experience using AI tools is preferred. Strong analytical / conceptual problem-solving skills with attention to detail. Strong sense of ownership and personal responsibility. Strong organizational stills, with the ability to prioritize, multi-task, and manage deadlines while successfully completing assignments. Good team player with a strong willingness to participate and help others.

ServiceNow Developer ServiceNow Developer General Information Hiring Department/Group: IT Service Management Job Title: ServiceNow Developer Office Location: Bangalore Job Function Summary Millennium is looking to hire a ServiceNow developer to join our ServiceNow team focusing on system automation, workflow development, and integrations with internal and external applications. The ideal candidate has experience in the SDLC methodology, Agile SCRUM, development methodologies, test cases, test execution and reporting. Principal Responsibilities Develop new ServiceNow applications and enhancements from business requirements and/or technical design documents Maintain consistent delivery of application solutions throughout the product suite by following development standards and the architecture framework Develop and manage application code, user interface, and third-party integration components Recognize and report issues before they adversely impact the testing schedule and projects Coordinate/facilitate load testing and performance testing activities for our software platform Develop necessary development documentation as needed (e.g. technical design, developer notes, etc.) Participate in daily operations of ServiceNow team Qualifications/Skills Required Bachelor degree in Computer Science or related field Minimum 2 years of ServiceNow development experience Minimum 2 years of JavaScript development experience Experience in Web technologies (REST, Web Services, XML, Ajax, Python) Experience with Front-end frameworks: Angular and/or React.js a plus Experience with Source Control Software - Git Experience with the SDLC including Requirements Analysis, Design, Installation, Development, Testing (application code and user acceptance), and Deployment Strong technical documentation skills Strong communication skills with a collaborative approach Attention to details and strong ownership of work ITIL v3 Certification is a plus SQL experience is highly desired

Quantitative Developer - Commodities Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics and trader support tools. This team will sit under the Fixed Income Commodities Technology (FICT) group and will develop and maintain the in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities. Primary Responsibilities Work with Quant Researchers, Portfolio Managers Technology teams to build commodities fundamental analytics and modelling platform from scratch Develop scalable libraries and APIs for commodities fundamental modelling across multiple assets and geographies Build, help maintain and operate end to end modelling pipeline involving diverse and large set of statistical and machine learning models Build scalable tools to aid data analysis and visualization Work with broader team to develop robust delivery and operating models, enabling rapid development and scalable deployment of new capabilities Required Skillset Strong Python Fundamentals knowledge (for data science) and SQL/ Database experience Solid experience with all stages of data modelling pipeline - Data access, Transformation, model training and inference pipeline and Data analysis tools Able to work independently with hands on experience on complete software development lifecycle and relevant development tools Prior experience as Quant Developer/ Data Scientist in financial industry Commodities and hands on statistical/ data modelling experience preferred Familiarity with tools and libraries like Airflow, Flask, Dash etc preferred

Software Engineer - Murex Location: Bangalore, India Employment: Full time Mode of work: On site from office Millennium is a top tier global hedge fund with a strong commitment to leverage innovation in technology and data science to solve complex problems for the business. Millennium provides a dynamic and fast-paced environment with excellent growth opportunities. Responsibilities: Design and build new transactional systems framework. Development, deployment, and support of applications (Java, Shell Scripts, Python). Hands-on maintenance and support of current transactional systems. Enhancement and support of trade processing platform (Murex, Kinetix). Monitoring and support for intra-day and EOD jobs and platform performance. Qualifications/Skills Required: At least 3-7 years of experience in software development, a significant portion of which should have been obtained in the financial industry. Strong programming experience in Java and scripting language (preferably Python). Experience integrating various trading systems using message-based architecture. Strong experience in the design and development of relational database management systems (Sybase, Oracle, SQL server). Experience in managing projects and knowledge of fixed income products and trade processing (e.g., trade entry, position management, valuation, pricing, settlement and clearing, etc.). Strong leadership skills to execute effectively on project deliverables and lead the development effort. Strong communication skills to communicate effectively and to face-off against various stakeholders (FO, MO, BO, Risk, Accounting). Experience in working with Murex, Kinetix and Shadow is a plus. Bachelor s degree in computer science engineering or alike.

This role will be an integral part of a sizable global fundamental equity investment team focusing on oil gas, chemicals and utilities sectors. Monitor and conduct analysis on sector/company-specific newsflow and key events. Attend relevant company calls, investor meetings and industry conferences. Summarize key takeaways and formulate actionable insights. Build, maintain, and update relevant databases and financial models to support investment decisions. Contribute to the investment process through regular written and verbal reports on industry trends, market events, and individual company developments. Collaborate with other team members on regular/ad-hoc research projects. Qualifications: Ideally 5 years of experience in sellside/buyside equity research, industry research, consultant, or other roles with a solid understanding for the global oil gas, chemicals and utilities sectors. Passionate about stock markets with excellent analytical skills. Strong verbal and written communication skills, with the ability to articulate research findings in an accurate and concise manner. Team player with the ability to collaborate effectively with a global team.

Quantitative Researcher Job Description: We are seeking a Quantitative Researcher to join our team. Our team sits under the Trading department and focuses on arbitrage strategies including convertible arbitrage, capital structure arbitrage, and other related strategies. Our team has more than 6 years of tenure at Millennium and has been expanding quickly in the quantitative arm. This role is our first hire in India and offers significant growth opportunities. The qualified and successful candidate will have the opportunity to work closely with experienced quants, fundamental analysts, and portfolio managers to build quantitative models, develop trading strategies, and make a direct PnL impact. Job Responsibilities: Explore and analyze new datasets, including firm fundamental data, market data, and alternative data. Conduct in-depth data studies on company fundamental data, build financial models on company capital structure, and apply both structural and reduced-form models to measure credit risk. Apply financial modeling and machine learning techniques to build quantitative models that generate trading signals. Productionalize models and maintain data infrastructure, and work with the team to identify opportunities for process improvement and innovation. Collaborate with quants, fundamental analysts, and portfolio managers to enhance quantitative models and develop trading strategies, making an impact on the team s PnL. Qualifications: 3-7 years of experience in building quantitative models, developing quant trading strategies, and managing data infrastructure and production models. Demonstrated ability to conduct high-quality empirical research, work independently, and collaborate in a global team. Solid Python programming skills and an ability to quickly learn new technologies. Knowledge of capital structure models, credit risk modeling, option pricing, CDS, convertible arbitrage, or capital structure arbitrage is a plus. Experience in the full cycle of quantitative research including data cleaning, data study, developing quantitative models, and implementing them in production is a plus. Experience in NLP and machine learning is a plus. Experience in using generative AI tools (e.g., ChatGPT) in daily work is a plus.

Junior Quantitative Analyst (Equities) Job Summary We are seeking a motivated and detail-oriented Junior Quantitative Analyst to join our equities team. The ideal candidate will have 2-3 years of experience in the equities space and a strong foundation in quantitative analysis. This role offers an excellent opportunity to work with experienced professionals and contribute to the development of cutting-edge investment strategies. Key Responsibilities Data Analysis: Collect, clean, and analyze large datasets related to equity markets. Back testing Model Development: Assist in the development and implementation of quantitative models to support trading strategies and investment decisions. Performance Monitoring: Monitor and evaluate real-time historical performance of quantitative models and trading strategies. Reporting: Prepare automated reports on model performance, and market conditions and performance drivers. Collaboration: Work closely with senior analysts, portfolio managers, and other team members to support the investment process. Qualifications Education: Bachelor s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. A Master s degree is a plus. Experience: 2-3 years of experience in quantitative analysis within the equities trading. Technical Skills: Strong programming expertise in any language, with working knowledge of Python. Experience with SQL and data visualization is a plus. Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and generate actionable insights. Attention to Detail: High level of accuracy and attention to detail in all aspects of work. Preferred Qualifications Knowledge of financial instruments, market microstructure, and trading strategies. Familiarity with risk management principles and practices. Working knowledge of quantitative finance tools such as optimizations, risk models, and regression analysis

Regulatory Compliance Officer Principal Responsibilities This role is heavily focused on regulatory compliance, trade monitoring and surveillance, SEBI rules & regulations. Advise on a full range of compliance and regulatory issues associated with Millennium s growing research business in India and offshore FPI investing into India, working closely with offshore compliance product specialists/trading teams and onshore/offshore management. Research and analyze all relevant compliance issues, risks and developments, and provide recommendations to mitigate such issues/risks and prepare for such developments by drafting, amending, designing and implementing appropriate policies, procedures and controls; Undertake monitoring and surveillance in relation to such policies, procedures and controls; Conduct internal reviews on and, as appropriate, develop, enhance and maintain such policies, procedures and controls; Conduct internal investigations/risk assessments into a variety of compliance related matters; Maintain relationships with SEBI and other local regulators (as well as stock exchanges, depositories, etc.) and prepare for and respond to regulatory inquiries, inspections and surveys as relevant/appropriate; Closely collaborate and communicate with Asia compliance and global compliance teams; Prepare reports and maintain accurate records of compliance activities, including regulatory communications; Assist country, regional and global compliance teams on any ad hoc tasks and projects as may be assigned from time to time; Liaise with local counsel, custodians and brokers on regulatory/compliance issues; Participate in local industry groups as appropriate. Qualifications/Skills Required 10-12 years experience at a financial institution or similar organization working on compliance matters; Strong knowledge of SEBI rules and regulations, in particular those relating to research and FPIs, and experience responding to inquiries from and managing investigations by SEBI and other local regulators; Experience conducting internal investigations; Ability to work with various departments in Millennium and build smooth working relationships; Able to prioritize in a fast moving, high pressure, constantly changing environment; Strong analytical and problem-solving skills; Growth mindset; Detail oriented; Strong communication skills; and Bachelor s/Post Graduate degree(s) in Finance, Economics, Law or similar field (preferred).

C++ Developer - Market Data The SPEED Market Data team seeks a multi skilled engineer who is excited to architect, implement, monitor and support low latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By building and maintaining this high-performance infrastructure, this engineer will help position MLP as a leader in the field of quantitative trading. You will shape the future of this industry while you work alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong candidate with financial markets technology experience and realtime market data expertise to build and support globally our realtime (both low latency and non-latency sensitive) market data plant. The successful candidate must be comfortable with monitoring, support, development, and client management duties with goals of ensuring stability of the existing environment whilst also designing and implementing platform improvements. Principal Responsibilities Collaborating with hardware and software developers across divisions to build realtime market data processing and distribution systems Contributing towards the team s technical direction by driving new initiatives Developing systems, interfaces, and tools for historical market data and trading simulations that increase research productivity Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency Helping build and maintain our automated test and benchmark framework, risk-management, performance-tracking, and other tools Testing, implementing, and benchmarking different feed handlers (internal and external) on different hardware offerings and settings (e.g. Solarflare, Mellanox NICs, different switches, different compilers and compiler flags, different OS options, etc.) Support and management of both enterprise and latency sensitive realtime market data environments, including management of internal, vendor, and exchange-initiated changes. Design and engineering of components to automate support and management capabilities for the market data platform, including monitoring, realtime and historic metrics collection/visualization, and administrative functions including self-service user facing tools. Liaison with users of the market data environment, including Portfolio Managers, trading desks, and core technology teams. Enhancement of processes and workflows related to operation of the market data platform, such as release deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs Qualifications/Skills Required A degree in computer science or a related field with a strong background in data structures, algorithms, and object-oriented programming in C++ Good understanding of Linux system internals and networking Deep understanding of CPU architecture and the ability to leverage CPU capabilities Able to prioritize in a fast moving, high pressure, constantly changing environment; Good sense of urgency and ownership Believer and practitioner of extreme leadership and accountability Effective communication and relationship management skills (client and vendor): The candidate will be expected to work closely with business and technology users to understand their current and future needs Knowledge of any other development language, including Java, Python, or Perl and shell scripts Technical background in application development on complex market data systems (i.e. - Bloomberg, Thompson Reuters, etc) Technical experience supporting market data environments within a global organization, including both internally developed DMA feed handlers and distribution infrastructure Strong understanding of market data concepts and functionality, such as data models (fields/messages), protocols (e.g. snapshot + delta), order book representations (e.g. L1/L2/L3), recovery and reliability. Hands on Site Reliability Engineering or DevOps skills, including system administration, automation, measurement, release / deployment management Experience of monitoring, metrics and command/control functionality for distributed market data platforms; ability to evaluate existing solutions and drive enhancements through coordination of development and operations teams. Ability to prioritize in a fast moving, high pressure, constantly changing environment. Demonstrate thoroughness and strong ownership of work through a detail-oriented approach.

AI Engineer Millennium is a cutting edge fintech where we solve hard and interesting problems at the intersection of computer science, finance, and mathematics. We are focused on innovating and rapidly applying innovations to real world scenarios in finance. This enables engineers to work on interesting problems, learn quickly and have deep impact to the firm and the business. We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are, enabling traders/researchers to consume vast amount of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to find prices of instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk, to name a few. The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc. We are seeking a senior AI/ML SWE who has experience with LLM, deep learning, reinforcement learning, etc. as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and product ionization. Key Responsibilities Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space. Experiment, iterate, productionize AI/ML solutions. Build supporting data and Ai/ML infrastructure and tools. Required Skills and Qualifications Strong knowledge of the latest advancements in AI and machine learning. Strong fundamentals in computer science. Proficiency in Python and at least 1 other language such as Java, C++, C#, etc. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc. Ability to build and evaluate AI models and tools using quantifiable metrics. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills to effectively collaborate with developers and other stakeholders. Adaptable and willing to work in a start-up-like environment within a major institution. Preferred Qualifications Advanced degree in Computer Science, AI, Machine Learning, or a related field. Experience in developing AI solutions for financial institutions. Knowledge of additional programming languages and frameworks. 7+ years of relevant experience.

Lead Rapid Application Developer The position entails the rapid development of applications aimed at enhancing middle-office and operational processes, identifying procedural gaps and risks, and ensuring the accuracy of data generated by internal systems. The ideal candidate will possess extensive expertise across various domains, including UI development, application development with Python or Java, DevOps, and Data Engineering. The candidate will engage closely with key stakeholders and senior management across departments and regions to design and execute projects and initiatives, ensuring their timely delivery. Additionally, the candidate will also collaborate with the Global Operations Control team and work with internal resources and external counterparties to continuously improve processes. Principal Responsibilities Design and develop intuitive and responsive user interfaces that enhance user experience and interaction Develop robust applications using Python or Java, ensuring high performance and responsiveness to requests from the front-end Implement, monitor, and maintain CI/CD pipelines, ensuring seamless integration and delivery of applications Design and implement scalable data architecture solutions to optimize data integration, storage, and retrieval processes across the department Leverage AI and ML technologies to enhance the functionality and performance of applications, contributing to proactive risk identification and mitigation Candidate will perform data transformation tasks to clean, normalize, and structure data for analytics and controls. This may involve writing complex SQL queries, using Python libraries like pandas for data manipulation. Additionally, it may involve integrating with databases, REST APIs, or other data sources, as well as ensuring data quality and integrity Build a Risk Data Controls framework for validating Positions, Trades, PnL, Greeks, and Pricing Data to ensure the robustness of the firms data processes and Risk Models Automate processes in middle office to mitigate operational risk and improve efficiency Coordinate and work closely with internal teams across Ops, IT, Legal, Compliance and Finance departments globally as necessary and with external parties to deliver projects, regulatory reports, and control frameworks Qualifications/Skills Required 6+ years of experience in full-stack development Strong proficiency in HTML, CSS, JavaScript and modern front-end framework (e.g., React, AngularJS) Experience with API development and integration Experience with a server-side language and framework (e.g., Python with Django, Java with Spring, Node.js with Express) Experience in designing and developing applications that can handle high volume and ensure continuous operation Experience in performing data transformation/manipulation using Python libraries such as pandas and numpy. Experience with KDB, including data ingestion, manipulation, and querying is a plus. 2+ years of experience in financial services; strong knowledge of financial instruments, securities and derivatives. Exposure to market risk concepts, sensitivities, and the trade lifecycle is a significant plus. Quick learner; understands financial products and has the ability to grasp new concepts and processes quickly Excellent written and verbal communication skills, strong presentation skills (project plans, presentations, data mining, analysis) Strong interpersonal skills; ability to work collaboratively with wider teams internally as well as with external parties Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency to meet tight deadlines

Millennium (India) is seeking a skilled and motivated individual to join our team as a Kubernetes Platform Engineer. This is an exciting opportunity for someone who is passionate about Open-Source software. You will help enable Kubernetes for a wide range of use cases across our entire estate. Principal Responsibilities Manage the full lifecycle of Kubernetes clusters, components, and cluster services. Drive the elimination of operational tasks through automation and self-service. Develop well-defined processes for testing and integrating new technologies to meet both business and technical needs. Ensure efficient utilization of resources through metrics and reporting. Implement and maintain security best practices across Kubernetes clusters. Lead incident response for Kubernetes-related issues, ensuring timely resolution and minimal impact on operations. Develop and maintain comprehensive documentation and provide training to users on Kubernetes best practices and new features. Qualifications/Skills Desired Proficient in creating and managing the full lifecycle of Kubernetes clusters, with a solid understanding of cluster components and operations. Experienced in creating and managing Kubernetes operators. Experienced in working with bare metal servers and public cloud technologies like AWS, GCP, and Azure. In-depth knowledge of Linux systems administration, networking, and security. Strong programming and scripting skills, proficient in BASH, Python, or Golang. Deep understanding of distributed systems, with the ability to effectively manage and troubleshoot in such environments. Significant experience with IAC Proven experience in large-scale collaborative software projects involving source control and SDLC strategies. Demonstrated strong problem-solving abilities, with a knack for complex troubleshooting and root cause analysis. Excellent team player with a strong willingness to contribute and assist others. Exceptional interpersonal and written communication skills. Education and Experience : Bachelors / Master s degree in Computer Science, Mathematics, or a related field. A minimum of 3-5 years of relevant work experience.

Business Unit Control Specialist (Treasury) The Business Unit Control team is responsible for observing and analyzing PL, risk, pricing processes and internal financing. This role will be primarily focused on the continued build out of our controls framework within our in-house financing system, including enhancing existing processes, developing new controls, performing deep data analysis, and creating effective reporting. The successful candidate will not only execute established controls but also identify gaps and areas for development and improvement. Principal Responsibilities Create intuitive financial dashboards around portfolio financing to capture summary stats and trends. Perform data analysis and calculations for financing charges for all asset classes, including equities, fixed income, commodities, currencies, etc. Create automated reporting to systematically capture, highlight, and escalate issues. Review and reconcile portfolio financing interest charges calculated by system and compare to expected outcomes. Perform in-depth investigative data analysis to diagnose issues, detect system anomalies, and identify controls gaps. Review and analyze financial data to identify discrepancies, trends, and make recommendations for improvements. Perform ongoing monitoring to ensure compliance with established controls and identify areas of risk or non-compliance. Contribute to system development and implementation to further enhance system capabilities. Qualifications/Skills Required Portfolio financing/Treasury/Prime Brokerage background Knowledge of equity prime brokerage financing , including debit interest, abf financing/pricing methodologies. Knowledge of securities lending , specifically in regard to stock loan, locates, PTHs. Knowledge of prime brokerage margining frameworks and methodologies. Knowledge of fixed income financing - collateral, repo, etc. a plus Detail oriented; Demonstrates thoroughness and strong ownership of work. Demonstrated initiative and problem-solving skills. Strong communication skills. Strong knowledge of SQL and Excel.

Software Engineer - Java The Fixed Income Applications development team is focused on building and supporting a reference data system. The team s responsibilities span request/response-based metadata distribution for various financial products (bonds, futures, options, FX spots/forwards, deposits, swaps, commodities, swaptions, cdx, cds, equities, etc), dealing with batch and on-demand security creation and updates, building infrastructure for keeping the metadata current and accurate, and providing multiple means of dissemination to downstream systems (such as analytics, risk, and trader systems). While not a low-latency system, it is perceived as a high availability cluster capable of serving both existing securities and securities created upon request based on external metadata. Team members interact directly with operations teams and other technology teams, so solid communication skills are essential. The team owns the entire software lifecycle, from requirements and design, through implementation, to production releases and support. Release cycles are tight, so in addition to strong development skills, you must have demonstrated the ability to adapt to changing conditions and learn quickly. There are no business analysts on the team, so we expect developers to have sufficient business and product knowledge to understand the requirements on their own. That being said, this is not a particularly Quantitative role - there is a separate Analytics team that undertakes valuation and related work. We focus more on building up and supporting the technical infrastructure. Required skills/experience: 4+ years of professional experience with Java 3+ years of SQL database development skills Solid grasp of Multithreading, algorithms, and data structures Familiarity with event streaming platforms like Kafka, RabbitMQ, etc Results-oriented, can deliver quality code with quick turnaround Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure Preferred skills/experience: Fixed income product knowledge would be a plus Spring/Spring Boot experience Experience with vendor feeds (Bloomberg SAPI/BPIPE, Markit) Distributed caching (e.g., Hazelcast, REDIS, Memcached, Ignite, Ehcache, etc.) Python experience for unit testing and scripts

Business Intelligence Developer (NAM Shift) Job Function Summary We are seeking a highly skilled BI Developer with over 5+ years of experience to join our team. Tableau experience is mandatory. The role involves developing business intelligence solutions and running data analytics to enhance middle office and operational processes. The successful candidate will possess a strong technical background to develop business intelligence solutions, data engineering solutions, MIS/BI reports, and process re-engineering documentation as part of the broader Operations Middle Office organization. The candidate will collaborate closely with key stakeholders and senior management across departments and regions to design and implement data projects and initiatives, ensuring timely delivery. Principal Responsibilities Design, develop and maintain visually compelling dashboards and reports in Tableau to meet business requirements. Candidate will build Tableau dashboards and perform necessary data transformation tasks to clean, normalize, and structure data for analytics. This may involve building complex dashboards and charts. Build reports on trades, positions, and exposures for internal stakeholders, and regulatory requirements. This involves maintaining accuracy and timeliness in reporting. Optimize Tableau dashboards for performance and usability. Write, optimize and troubleshoot complex SQL queries to extract, manipulate and analyze data from relational databases. Coordinate and work closely with internal teams across Ops, Legal, Compliance and Finance departments globally as necessary to understand their business requirements and translate them into actionable Tableau solutions. Monitor and maintain Tableau dashboards and underlying data sources to ensure continuous availability. Qualifications/Skills Required Proven experience as a Tableau Developer. Strong proficiency in Tableau Desktop and Tableau Server. Knowledge of data warehousing concepts and ETL processes. Experience in financial services; strong knowledge of financial instruments, securities and derivatives Strong knowledge of SQL. Self-starter, solid organizational skills, ability to multitask effectively. Excellent written and verbal communication skills, strong presentation skills (project plans, presentations, data mining, analysis). Detail-oriented; demonstrable thoroughness and strong ownership of work. Strong interpersonal skills; ability to work collaboratively with wider teams internally as well as with external parties. Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency to meet tight deadlines. The role is expected to work during the late EMEA shift and be available until 3 PM EST (US Time).

Personal Trading Analyst [Compliance] Who We Are Millennium Management is a global investment management firm founded in 1989 that manages approximately $74 billion in assets. Millennium has more than 2,300 employees with offices in the United States, Europe and Asia. Over the last 25+ years, our mission has remained constant: to deliver the alternative investment industry s highest quality returns to our investors, and to maintain a commitment to our principles of integrity, discipline and excellence. Principal Responsibilities: Collecting and digitizing data such as financial statements Research and obtain further information for incomplete documents. Entering employee and account data from source documents within time limits. Maintaining a detailed and organized storage system to ensure data entries are complete and accurate. Addressing data inconsistencies by working with team members to locate missing data. Respond to queries for information and reporting any major data errors to manager. Maintaining a high standard of accuracy and efficiency. Qualifications/Skills: Bachelors degree and up (preferably in finance, economy) Preferred 3-5 years of experience working for a financial services firm (bank, broker dealer, asset manager) Understanding of financial markets and terms. Must be detail oriented and organized, and able to work independently. Must be able to multi-task and manage competing deadlines. Strong Word, Excel and PowerPoint experience, excellent typing skills and ability to learn other systems. Good communication skills and the ability to collaborate with staff members. Solid time management skills and the ability to prioritize tasks.

Trade Surveillance Analyst [Compliance] Who We Are Millennium Management is a global investment management firm founded in 1989 that manages approximately $74 billion in assets. Millennium has more than 2,300 employees with offices in the United States, Europe and Asia. Over the last 25+ years, our mission has remained constant: to deliver the alternative investment industry s highest quality returns to our investors, and to maintain a commitment to our principles of integrity, discipline and excellence. Responsibilities General electronic communications and trading surveillance reviews,including focus on potential insider trading and market manipulation. Monitor daily surveillance reports using exception reports and other tools. Review surveillance alerts, conduct analysis and escalate findings as needed. Assist the investigation and handling of the inadvertent receipt of material non-public information (MNPI). Interact with the business and compliance teams on a daily basis to provide advice and guidance to firm personnel on compliance matters. Assist with regulatory examinations, inquiries, investigations and projects, as necessary. Draft and amend compliance related policies and procedures. Monitor regulatory changes, updates and industry-wide compliance initiatives. Undertake and lead special compliance related projects involving variousinter-department stakeholders. Qualifications Bachelor s degree in finance, Economics or a related field is preferred, with a strong academic record. 3+ years of experience; prior surveillance or related experience at regulatory authority, bank/broker or buy-side firm is ideal. Experience in the securities and trading industry preferred. Knowledge of US financial markets preferred. Previous experience working with third-party surveillance platforms. Exceptional written, analytical, and research skills and the ability to apply both quantitative and qualitative analysis. Strong attention to detail, organization, and effective communication skills, both verbal and written. Ability to work effectively and independently with all levels of management and staff. Candidate must have strong communication, analytical skills and a desire to learn. Ability to handle several tasks simultaneously. Attention to detail and the ability to identify complex problems, review related information to develop and evaluate options. Must be a phenomenal teammate, able to work with others, enthusiasm for trading markets. Proficient to advanced computer skills including Bloomberg, MS Outlook, Word, Excel and PowerPoint.

Personal Trading Analyst [Compliance] Role Overview Millennium is hiring a Compliance Analyst to join a growing team in Bangalore to support the EMEA compliance function. The individual will assist with implementing the compliance framework, with a primary focus on personal account dealing ( PAD ) controls and monitoring. Global Compliance Global Compliance manages the firm s compliance, regulatory and reputational risks through the implementation of a compliance programme designed to support adherence to applicable global laws, rules and regulations. Principal Responsibilities: Assist in the maintenance of Millennium s compliance programme and records with a primary focus on Personal Account Dealing (PAD) policy and controls for EMEA. Review of employee personal account dealing requests and queries in line with Millennium s policies and procedures. Lead and find appropriate resolutions to internal PAD related queries. Collect, process and analyze large data sets in a timely manner, including, for example, employee financial statements and internal metrics. Maintain a detailed and organized workflow to ensure data entries are complete, accurate and retained. Identify and escalate compliance related issues and work with internal stakeholders to appropriately remediate. Involvement in the maintenance of general compliance programme including electronic communication, monitoring and surveillance as well as the Senior Managers and Certification Regime. Collaborate and work closely with colleagues globally, specifically those in Bangalore and EMEA. Participate in working groups and lead on project deliverables as needed. Qualifications/Skills: Minimum bachelor s degree. Preferred 1-3 years of financial industry experience (preferably in compliance or other relevant roles). Strong Microsoft Office (e.g., Word, Excel and PowerPoint) skills An understanding of financial markets and compliance risks. Excellent communication skills and the ability to collaborate with team members across all levels globally. Detail oriented, organized, and able to work independently. Operates with a high degree of accuracy and efficiency. Ability to multi-task and manage competing deadlines. Ability to adapt to new situations quickly, learn and improve. Hardworking with a commitment to maintain the highest ethical standards.

Equity Derivatives Researcher Equity Derivatives Researcher Millennium s Global Risk Management Department is responsible for identifying, measuring, monitoring, managing, and reporting on the risks associated with Millennium equity derivatives portfolios. Our Risk Management organization is designed to accommodate the overall size, nature, and complexity of the firm s trading activities. We are looking to add an inquisitive minded Risk Modeler to join our team. You will have the opportunity to develop and maintain the quantitative frameworks used by our portfolio managers and senior management teams. You will be responsible for the risk framework which involves consistently evolving metrics, improved valuation methodologies and clear identification and resolution of issues associated with inadequate risk measurement. You will understand and monitor closely the strategies of PM s trading in equity derivatives and embed insights in quantitative frameworks. Your primary responsibilities will encompass: Development of Risk Measurement Techniques: Develop and maintain robust frameworks for risk measurements. You will create frameworks to deliver insights on PM strategies and risks through interacting with existing tools or building own framework Quantitative Framework Development: Assist in the creation and optimization of our quantitative framework, which includes collaborating with technology, risk, portfolio, and business managers. Tech Collaboration: Partner with the Technology department to streamline the transition of quantitative models into production environments. The priority is to ensure accuracy and efficiency in day-to-day workflows. Research Model Development: Lead research into and implementation of various quantitative models Qualifications/Skills Required: The candidate should have a degree in a quantitative major: statistics, mathematics, engineering, and either professional experience of 1-4 years in a quantitative role in a financial organization, or an advanced degree in a quantitative field preferred. A good understanding of derivatives and valuation is a plus, and basic familiarity is generally expected. Prior experience with managing and deploying valuation models is a great add. Strong programming skills, prior experience with Python (Polars and/or Pandas) or SQL. Proficiency in at least a compiled and statically typed language is a plus; so is demonstrated programming ability on public repositories e.g., GitHub. Sense of responsibility and integrity. Intellectual curiosity and spirit of initiative. Ability to work independently and effectively manage ambiguity.

Brokerage Specialist Principal Responsibilities Effective communicator, with the ability to highlight, document and effect change of manual processes Coordinate amongst various internal and external stakeholders, to efficiently and effectively maintain controls, mitigate risk, and resolve brokerage/fee related issues Futures/Options on Futures Execution brokerage reconciliation and management; ideally on NAM Exchanges (Chicago Board of Trade/Chicago Mercantile Exchange) Management of eDocs Execution agreements, eRecs, eGains, BPS/GPS, and Atlantis reconciliation/billing systems Liaising with internal and external counterparties, to ensure timely settlement and clearance of brokerage related payments. Ensure static set-ups are complete, brokerage payments are reconciled and processed on a timely basis, GUA agreements are executed across counterparties/executing brokers, and fee reconciliations are managed with the exchange Initiate payments of brokerage to counterparties; ensuring controls are in place to manage SSIs and documentation requirements ahead of any payments being processed Participate in ad-hoc projects/initiatives and work with colleagues across the firm to implement process changes/improvements. Qualifications: Knowledge of Futures back-office clearing systems is a must: GMI / ION / Atlantis / eRecs / eDocs / eGains / BPS / GPS Experience in Brokerage Operations at either a Broker/Dealer, Introducing Broker, Futures Clearing Merchant (FCM), large bank Strong working knowledge of Microsoft Excel/Office. Comfortable using Macros/Pivots working with large data sets quickly and efficiently Strong communication and interpersonal skills Ability to implement and maintain new processes, procedures, and controls Fast learner with the ability to multi-task and work under pressure to meet strict deadlines