AVP - Credit Model Development - KPO

Role Summary/Purpose:

- A critical new role AVP, Credit Model Development, will be responsible for providing the thought leadership and analytical/quantitative input to develop, document, implement and monitor the build of complex consumer credit risk loss forecasting, reserve and capital models in adherence to SR11- 7 guidelines.

- This successful candidate will use their business analysis, process, and quantitative knowledge to mentor the junior analysts while managing multiple initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail.

This is a great opportunity for a modeler/statistician/data analyst/programmer with experience in consumer credit analysis. We offer a dynamic, collaborative team environment with a strong credit risk management culture.

Essential Functions / Responsibilities:

- Lead the development of ALLL, Loss Forecasting, Stress Testing, Capital Planning and CECL models using SAS/Python or R in collaboration with the on-shore team

- Perform in depth analysis on large data sets, and prepare analysis and reports to support discussions on key analytics and model risks

- Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank's model risk policy

- Support implementation and monitoring of ALLL and capital stress testing models

- Develop alternative predictive methodologies / tools to better identify credit dynamics in portfolio performance

- Proactively manage strong working relationships to maintain on-shore stakeholder satisfaction

- Assist in analyzing the current and future model landscape, technologies, data frameworks and implementation platforms in line with internal as well as industry best practices

- Develop and execute initiatives such as conducting applicable research and implementing industry best practices in modeling methodologies and management of model risk

- Maintain current/develop new analytical reports and presentations for senior management, executive committees and regulatory exams

- Perform other duties and/or special projects as assigned

Qualifications / Requirements :

Experience/Knowledge

- M.S. / PhD degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) 

- 10+ years of experience in Risk, Credit, Finance or other relevant professional experience

- 5+ years experience in an analytical/quantitative role related to consumer lending

- 3-5 years experience developing ALLL, loss forecasting, stress testing or credit models