Assistant Manager - CCAR Risk Analytics - Banking

Opportunity with one of the banking major for Mumbai location.

- SAS is must with BFSI domain

- The opportunity is into Risk Analytics, Credit Risk Analyst or Model validation, model monitoring.

Job location- Mumbai

This position within Global Consumer Banking will generate production results of CCAR/DFAST, CECL stress loss-forecasting models for international secured portfolios (e.g., Home Equity, Mortgage etc.). The responsibility includes but not limited to the following activities:

- Generate production forecasts for economic scenarios. Produce additional on-demand runs to support analytical requests from peer groups and model sponsors.

- Implement new or enhanced models in a production environment

- Continuously work to maintain and improve governance controls relates to implementation and production process

- Generate standard reporting, comparison with previous results as well as drill down analytics for productions forecasts.

- Conduct QA/QC on all steps (e.g., macro-economy series, model output, etc.) required for production process.

- Deliver comprehensive write-up of production results and process as per internal and regulatory standards

- Understand model variables and economic forecasts and conduct drill down analysis and reporting of model production forecasts.

- Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams

- Work closely with cross functional teams, including country/region's business stakeholders, model validation and governance teams, and model implementation team

- Maintain and improve automation solutions for production process

- Ensure timely completion of governance controls and production results under tight timelines

- Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc. MBAs should apply only if they are interested in a career in the specialized quantitative risk management discipline.

- Strong programming skills in SAS is necessary. Working knowledge of Tableau, Python or R is a plus.

- 3- 5 YEARS SAS programming experience

- Experience of working in SAS for a financial institution. Experience in a model production team is a plus

- Automation experience would be plus

- Basic programming skills in Python or R

- Basic understanding of modeling processes (regression, time series, decision tree, linear/nonlinear optimization etc.) would be desirable.

- Extensive experience in SAS based model production environments.

- Experience in developing end-to-end automation of production processes

- Expected to manage own projects independently.

- Ability to work effectively in cross functional teams, including model development, country/region's business stakeholders, model validation and governance teams and model implementation team

- Documentation of model production results for internal oversight/regulatory submission

- Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences

- Work as an Individual Contributor