Assistant Vice President - Credit Modeling - BFS

A critical role AVP, Credit Models, will be responsible for providing the thought leadership and lead analytical support to develop, document, validate, implement and monitor the build of complex consumer credit risk models. This successful candidate will use their business analysis, process, and modeling knowledge to lead the team of analysts/managers 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 and people leadership.

Essential Functions/Responsibilities :

- Lead credit risk model development using traditional and advanced modeling techniques

- Provide thought leadership to the team, manage a team of up-to 8 highly talented professionals and contribute to organization wide initiatives

- Responsible for delivery of various engagements of the team viz., model development, validation, testing, monitoring of numerous credit risk internal and external models

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

- Evaluate various business problems across credit function and proposing model-based solutions

- Develop alternative predictive methodologies / tools to challenge the existing methodologies

- 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

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

Qualifications / Requirements:

Experience/Knowledge :

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

- 8+ 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 in building Credit risk 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

Desirable :

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

- 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