Sr Manager, Consumer Lending Policy & Analytics

Overview

PenFed is hiring a (Hybrid) Sr Manager, Consumer Lending Policy & Analytics at our Tysons, Virginia location. The primary purpose of this job is to own end-to-end development and implementation of credit policy in Consumer Lending products space and conduct credit risk monitoring and analytics. You will explore utilizing AI in your analysis and collaborate in building advanced valuation and risk detection models. You will manage analysts and managers to achieve team’s strategic goals and contribute to setting up strategic goals and agenda for Consumer Lending Policy and Analytics team.

Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

• Develop and manage automated and judgmental decisions within credit policies for new account acquisition and/or accounts on book, including approve/decline, line assignment and/or portfolio risk management.
• Define risk segmentation, loss expectations and risk premium to support Risk Adjusted Pricing.
• Collaborate with modeling teams to build and validate risk and/or NPV valuation models using both internal and external data sources, implement models in policy optimization, and/or monitor model performance on an ongoing basis.
• Drive monitoring and analysis of credit risk for both organic and acquired portfolios, prepare related management reporting package and provide insights on root causes, emerging credit trends and implications on Allowance for Loan Losses.
• Perform program-level deep dive and change monitoring to drive credit policy optimization and risk mitigation strategies, inform corporate strategic decisions, and improve efficiency.
• Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
• Develop statistical sampling and scoring methods to support judgment decision review program.
• Collaborate with business line product managers in optimizing marketing campaigns used in account acquisition and/or customer management that align with the credit policies and scoring models.
• Partner with key stakeholders in various groups (Credit Risk Modeling, Business Lines, Credit Risk Management, Compliance, Operations, Finance and Enterprise Risk Management) to identify areas of opportunity and spearhead initiatives to enable profitable growth while minimizing credit risk exposure and adapting to changing economic and regulatory environment.
• Manage analysts to achieve team’s strategic goals, training and assisting development of skills and cultivating credit culture.
• Maintain strong working knowledge of consumer lending related regulations to ensure compliance. Remain abreast of financial regulatory developments in credit risk management and best practices within the industry.
• Participate in external and internal audits, and regulatory examinations as needed.
• Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis. Contribute to credit data mart and corporate database designs.
• Provide thoughtful leadership and foster collaboration towards the attainment of corporate goals.
• Explore creative ways to incorporate AI into credit analysis and BAU process optimization.

Qualifications

Equivalent combination of education and experience is considered.

• Master’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required.
• Minimum of ten (10) years’ experience in quantitative analysis / modeling, credit policy or credit risk management in the financial services industry.
• Minimum of two (2) years of direct management experience.
• Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
• Proven project management skills, ability to manage multiple projects.
• Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
• Proficiency with statistical tools R & Python and Tableau experience strongly preferred.
• Excellent written, verbal communication and presentation skills.
• Curiosity, attention to details, strong critical thinking and problem-solving skills.
• Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
• Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.
• Experience with AI preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call is required.

#LI-Hybrid

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

• Develop and manage automated and judgmental decisions within credit policies for new account acquisition and/or accounts on book, including approve/decline, line assignment and/or portfolio risk management.
• Define risk segmentation, loss expectations and risk premium to support Risk Adjusted Pricing.
• Collaborate with modeling teams to build and validate risk and/or NPV valuation models using both internal and external data sources, implement models in policy optimization, and/or monitor model performance on an ongoing basis.
• Drive monitoring and analysis of credit risk for both organic and acquired portfolios, prepare related management reporting package and provide insights on root causes, emerging credit trends and implications on Allowance for Loan Losses.
• Perform program-level deep dive and change monitoring to drive credit policy optimization and risk mitigation strategies, inform corporate strategic decisions, and improve efficiency.
• Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
• Develop statistical sampling and scoring methods to support judgment decision review program.
• Collaborate with business line product managers in optimizing marketing campaigns used in account acquisition and/or customer management that align with the credit policies and scoring models.
• Partner with key stakeholders in various groups (Credit Risk Modeling, Business Lines, Credit Risk Management, Compliance, Operations, Finance and Enterprise Risk Management) to identify areas of opportunity and spearhead initiatives to enable profitable growth while minimizing credit risk exposure and adapting to changing economic and regulatory environment.
• Manage analysts to achieve team's strategic goals, training and assisting development of skills and cultivating credit culture.
• Maintain strong working knowledge of consumer lending related regulations to ensure compliance. Remain abreast of financial regulatory developments in credit risk management and best practices within the industry.
• Participate in external and internal audits, and regulatory examinations as needed.
• Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis. Contribute to credit data mart and corporate database designs.
• Provide thoughtful leadership and foster collaboration towards the attainment of corporate goals.
• Explore creative ways to incorporate AI into credit analysis and BAU process optimization.

Equivalent combination of education and experience is considered.

• Master's degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required.
• Minimum of ten (10) years' experience in quantitative analysis / modeling, credit policy or credit risk management in the financial services industry.
• Minimum of two (2) years of direct management experience.
• Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
• Proven project management skills, ability to manage multiple projects.
• Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
• Proficiency with statistical tools R & Python and Tableau experience strongly preferred.
• Excellent written, verbal communication and presentation skills.
• Curiosity, attention to details, strong critical thinking and problem-solving skills.
• Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
• Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.
• Experience with AI preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call is required.

#LI-Hybrid