AVP - Credit Model Development - BFS

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. In addition to responsibilities on individual modeling projects this role will be expected to work on ad- hoc projects as needed. Communicating these to leadership is essential.

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

Technical Skills

- Credit card modeling/analytics experience

- Proven hands-on experience utilizing SAS or SQL data mining skills as well as open-source tools such as R and Python.

- Advanced analytics using Excel/VBA, strong PowerPoint and documentation skills

Desired Qualifications :

Experience/Knowledge

- Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable recommendations

- Experience building/reviewing champion/challenger credit and risk models for consumer loss forecasting

- Comfort with Data and Technology: Prior experience functioning in roles and functions that are highly data-driven and require understanding of data models, process flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams

- Knowledge of external environment, industry/competitor profiles, and common macro-economic indicators and correlations

Soft skills

- Ability to manage multiple competing initiatives and deliver results within deadlines and with a focus on accuracy and attention to detail

- Client management and teamwork skills: Strong partnership skills and experience (at least 3-5 years) managing relationships across multiple teams of people

- Communication and influence skills: Excellent communication and influencing skills to coordinate with multiple functional areas

- Documentation skills: Demonstrated ability in documenting controls and procedures