Senior Balance Sheet Management Analyst
1 month ago
The Senior Balance Sheet Management Analyst will be responsible for developing and implementing statistical models to support the Balance Sheet Management function. This includes econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes.
Key Responsibilities:- Develop and implement econometric models to forecast key Balance sheet and income statement line items.
- Collaborate with cross-functional teams to gather data and requirements for model development.
- Apply analytical thinking and knowledge of statistics / modeling / data analysis tools and methodologies to make recommendations.
- Ensure model governance and support by reviewing and submitting model documentations such as Model development document (MDDs), Annual Model Review (AMRs), Ongoing Performance Assessment (OPAs), Model Change Addendum (MCAs), Limitation Record Change (LRCs) to Model Risk Management and other stakeholders.
- Develop and maintain a comprehensive modeling system that maintains consistent approach to data quality and modeling methods, audit, back test, tracking, annual validation which is critical in reducing the model operating risk.
- Present technical matters in a way that is meaningful to the audience and align with Model Risk Management on modeling and validation practices.
- 6-8 years of relevant statistical modeling /econometrics experience in financial domain.
- PG / Masters / PhD in quantitative discipline such as Statistics, Economics, Mathematics, or related discipline is preferred. Certifications such as FRM, CFA is a plus.
- Experience in developing econometric models and deep understanding of statistical techniques such as Linear Regression, Logistic Regression, Time Series, Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration and Machine Learning Techniques, etc.
- Working experience with Artificial Intelligence/Machine Learning techniques and packages (ChatGPT, Copilot) etc.
- Hands-on experience in programming and modeling using Python and related packages (GitHub, DataFlame) is must. Working knowledge of statistical packages like SAS/R is a plus.
- Experience with SQL and databases. Experience in excel VBA is plus.
- Domain knowledge and experience in PPNR, Fixed Income Securities, Mortgage Modeling, Deposit Modeling, Asset Liability Management, Interest Rate Risk, Capital Planning, etc. Broad understanding of financial products, accounting principles, investment, accrual products and corporate finance concepts.
- Excellent presentation skills, ability to translate complex financial schedules into meaningful presentations is critical; demonstrated analytical skills including the ability to synthesize quantitative and qualitative data to draw conclusions and assist on decision making.
- Ability to build key cross functional and cross business relationships.
- Assume informal leadership roles within team and team management skills and ability to managing multiple projects and deadlines.
Citicorp Services India Private Limited is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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