1-3 years of experience working in a Portfolio Management Services (PMS) Experience in Client Onboarding, Compliance Reporting, Coordination & Operations. Job Roles and Responsibilities: Client Onboarding: Facilitate the end-to-end client onboarding process, ensuring a seamless experience for all clients, including NRI clients. Compliance Reporting: Prepare monthly and quarterly compliance reports as per SEBI regulations. Coordination & Operations: Collaborate with the fund accounting and custody teams to manage day-to-day operations. Work closely with the compliance and tax accounting teams to ensure all operations adhere to internal and external guidelines. Team Collaboration: Work effectively within small teams, demonstrating a willingness to learn and take initiative. Additional Tasks: Utilize knowledge of Tally or any ERP system to assist with accounting operations. Support other operational and administrative tasks as required. Qualification and Experience: Educational Background: Minimum of a Bachelor's degree. Professional Experience: 1-3 years of experience working in a Portfolio Management Services (PMS) role. Prior experience in onboarding NRI clients is a plus. Certifications: NISM or SEBI certifications are advantageous. Skills & Competencies: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a small, dynamic team. Familiarity with Tally or similar ERP systems is preferred. Additional Attributes: High level of integrity and attention to detail. Proactive and willing to continuously learn and adapt in a fast-paced environment.

We are seeking a highly motivated Quantitative Researcher to join our investment management team in Bengaluru. The role involves developing and implementing quantitative models, conducting research on financial markets, and leveraging data-driven insights to enhance investment strategies. Job Roles & Responsibilities: Develop, test, and optimize quantitative trading and investment strategies. Conduct statistical analysis, backtesting, and risk assessments on financial datasets. Work with large datasets to extract meaningful insights and improve predictive models. Implement machine learning and data science techniques to enhance portfolio performance. Collaborate with traders, portfolio managers, and technology teams to refine trading algorithms. Stay updated with market trends, economic indicators, and quantitative research advancements. Qualification and Experience: 2-5 years of experience in quantitative research, algorithmic trading, or financial modeling. Strong programming skills in Python, R, C++, or MATLAB. Expertise in statistical analysis, econometrics, and time-series modeling. Experience with SQL, NoSQL, or big data frameworks is a plus. Familiarity with financial instruments, risk models, and portfolio optimization techniques. Bachelors or Master's in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field preferred.

Mandatory Requirement: Business Finance FP&A Financial Modeling Financial Reporting Job Responsibilities: Sales Finance & Expense Management Partner with the Sales team to track, analyze, and manage expenses, ensuring alignment with budget and financial goal Develop and maintain expense forecasting models, identifying cost-saving opportunities without compromising growth. Ensure financial discipline by implementing controls and reporting frameworks monitor sales-related costs. Quarter-End Close & Reporting Work closely with Accounting to support quarter-end close activities, ensuring accurate revenue recognition and expense allocation. Prepare financial reports and variance analyses to provide insights on sal performance, profitability, and budget adherence Develop and present quarterly business reviews with key financial takeaways for Sal leadership and senior executives. Sales Bonus & Incentive Compensation Manage the calculation and processing of sales commissions, bonuses, and incentive payments, ensuring accuracy and transparency. Partner with HR and Sales leadership to design, refine, and optimize sales incentives structures that align with revenue goals. Continuously assess sales compensation effectiveness and recommend adjustments to drive performance. Revenue Insights & Opportunity Identification Analyze sales data and revenue trends to identify growth opportunities and areas for optimization. Develop and maintain forecasting and scenario models to evaluate revenue impact from pricing changes, new product launches, or market shifts. Collaborate with Sales and Marketing teams to track performance of key revenue-driving initiatives and provide strategic recommendations. Present data-driven insights that help Sales leadership make informed decisions to drive revenue growth. Strategic FP&A & Business Support lead annual budgeting, forecasting, and long-term planning for sales-related revenue and expenses. Qualification and Experience: 8+ years of experience in FP&A, sales finance, or revenue strategy, preferably in digit media, advertising, or a related industry. Strong expertise in financial modeling, forecasting, and variance analysis Experience working with sales teams, tracking expenses, and managing commission structures. Other Details 5 days working Work from the office

SKS Enterpprises is looking for Associate Product Manager to join our dynamic team and embark on a rewarding career journey. Conducting market research and analysis to identify opportunities and understand customer needs Defining product vision, strategy, and roadmap, in alignment with company goals Collaborating with cross-functional teams, such as engineering, design, and sales, to bring products to market Managing the product lifecycle, from ideation to launch and post-launch evaluation Monitoring product performance and making data-driven decisions to drive growth and profitability Strong leadership and decision-making skills Excellent strategic and analytical skills Good communication and collaboration skills Strong technical knowledge and ability to understand complex product requirements Experience with product development processes and methodologies

SKS Enterpprises is looking for Backend Engineer to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to understand software requirements and translate them into technical specifications Design and develop server-side software components, APIs, and services to support the functionality of the software application Write clean, efficient, and maintainable code using programming languages such as Python, Java, or Nodejs Implement and maintain data models, databases, and data access layers for efficient data storage and retrieval Ensure the security, performance, and scalability of backend systems through proper design and optimization techniques Integrate third-party services, APIs, and libraries into the backend infrastructure to enhance functionality Implement and maintain unit tests, automated tests, and continuous integration/continuous deployment (CI/CD) pipelines to ensure code quality and reliability Collaborate with front-end developers to design and implement API endpoints and data formats for efficient client-server communication Monitor and troubleshoot production systems to identify and resolve backend-related issues and performance bottlenecks Must-Have: Python, FAST API, Temporal, MongoDB, RPA Tools like n8n, Make.com Good to Have: AI applications, Vector Libraries, LLMs (Chat/Voice) and experience in building AI Workflow solutions for enterprise use cases Qualification and Experience: Bachelor's/Masters degree in Computer Science, Engineering, or related field. 3-5 years of experience in Python,Fast API,Temoral,MongoDB,RPA tools Cutting-Edge AI & LLM Applications Work on the latest in AI, Voice Bots, and Large Language Models. Work with the Best Learn from top engineering leaders from Google, Rubrik, and leading AI researchers. Real-World Impact Build AI-powered solutions that redefine financial services. Accelerated Growth Company believes in rapid learning, ownership, and making things happen.

We are seeking a highly motivated Quantitative Researcher to join our investment management team in Bengaluru. The role involves developing and implementing quantitative models, conducting research on financial markets, and leveraging data-driven insights to enhance investment strategies. Job Roles & Responsibilities: Develop, test, and optimize quantitative trading and investment strategies. Conduct statistical analysis, backtesting, and risk assessments on financial datasets. Work with large datasets to extract meaningful insights and improve predictive models. Implement machine learning and data science techniques to enhance portfolio performance. Collaborate with traders, portfolio managers, and technology teams to refine trading algorithms. Stay updated with market trends, economic indicators, and quantitative research advancements. Qualification and Experience: 2-5 years of experience in quantitative research, algorithmic trading, or financial modeling. Strong programming skills in Python, R, C++, or MATLAB. Expertise in statistical analysis, econometrics, and time-series modeling. Experience with SQL, NoSQL, or big data frameworks is a plus. Familiarity with financial instruments, risk models, and portfolio optimization techniques. Bachelors or Master's in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field preferred.