AVP - Credit Model Development - BFSI

Role Summary/Purpose:

- A critical new role AVP, Credit Model Development, will be responsible for developing credit and fraud prediction models per relevant regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). The role requires demonstrated expertise with data mining and statistical analysis, as well as programming skills (Python/Pandas, Spark, Hadoop, SQL, SAS, and equivalent advanced software/platforms).

- This successful candidate will use their business analysis, process, and quantitative knowledge to mentor the junior analysts while managing multiple initiatives and delivering 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:

- Design and develop consumer credit statistical/econometric models to support production Loss Forecasting, Reserves (CECL), and Stress Testing processes 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

- Support data science initiatives/proof of concept in solving business issues through data mining / utilizing new data sources including dark data

- 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

Desired Qualifications:

- 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 in 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 is highly data-driven and require an 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