Analytics & Modeling Analyst

Job Description

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: CSS(CSS) Job Category: Credit Analysis Research Experience Level: Experienced Hire Skills and competencies Programming Languages: Proficiency in R, Python, MATLAB, SQL, and preferably C++. Model Validation Experience: Expertise in credit risk, counterparty credit risk, or market risk Key Responsibilities: Model Validation: Independent validation of models and scorecards for credit rating methodologies, ESG frameworks, and AI models. Assessment: Evaluate model inputs, performance, assumptions, limitations, and weaknesses. Replication and Development: Replicate models and develop challenger models for sensitivity and benchmarking analyses. Documentation: Create validation test plans and draft detailed validation reports. Ad-hoc Analyses: Perform additional analyses as needed This role requires an individual that has the following attributes: Organized and Efficient: Highly organized, detail-oriented, and accurate. Multitasking: Excellent organizational skills, capable of prioritizing work effectively. Pressure Management: Ability to work under pressure, meet tight deadlines, and manage time efficiently. Communication: Strong English written and spoken communication skills, capable of working independently and collaboratively. Qualifications and Experience: Academic Background: Strong background in mathematics, physics, or engineering, preferably with a post-graduate degree. Quantitative Finance: Deep understanding of quantitative finance, modeling, and model validation. Experience: 2-4 years of experience in model development or validation roles within financial institution About the team We are seeking a dedicated and detail-oriented Quantitative Analyst/Senior Quantitative Analyst to join our team. The successful candidate will provide comprehensive support to the Methodology Review Group (MRG), focusing on model/scorecard validation and methodology reviews. The role involves validating models/scorecards used in credit rating methodologies across asset classes, including corporate finance, financial institutions, structured finance, and public and infrastructure finance.