Objectives : Positions within Global Consumer Risk Management for CCAR/CECL/DFAST stress loss model production forecast and reporting and analytics team for the secured portfolios.

Core Responsibilities : 

This position within Global Consumer Banking will generate production results of CCAR/DFAST, CECL stress loss-forecasting models for 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 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

Education : 

- Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc. 

- MBAs should apply only if they are interested in career in specialized quantitative risk management discipline.

Skillset :

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

- 10+ YEARS SAS programming experience

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

- Experience of automating production processes and reporting

- Understanding of SAS based technology systems & infrastructure would be plus

- At least 5 Years as a people leader

- Advanced programming skills in Python and R

- Advanced user of Tableau

- 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

- Manage overall delivery of all production results, governance controls, and other ad-hoc reports and analysis for all secured CCAR/CECL models through a team.

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

- Effectively coordinate with model developers/SMEs to analyze model forecast results and explain to both technical and non-technical senior audience.

- Present production results with over-sight for approvals

- Good understanding of regulatory requirements

- Exposure to internal model review functions and/or external regulators and internal audit functions.

- Manage training, coaching/mentoring, Career management of team members

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

- Manage 5+ member team

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