Manager, Quantitative Modeling

PenFed Credit Union; McLean (VA); Hybrid; USD 97,000 - 191,000; Full time

Job summary

PenFed Credit Union in Tysons, VA, is seeking a Manager of Quantitative Modeling to oversee development of credit underwriting and account management behavior score models. You will lead a small data science team, ensure deliverable quality, and coordinate with business partners to align modeling with strategic goals.

The role requires a Master’s degree (PhD preferred), 8+ years in statistical modeling, and 3+ years in supervision.

Qualifications

• Master's degree in quantitative discipline is required; PhD is highly preferred.
• Minimum of eight (8) years of related work experience in building statistical models and advanced data analysis.
• Minimum of three (3) years of experience as a supervisor / assistant manager.
• Applied experience with Logistic Regression, Linear Regression, Machine Learning, and Survival Analysis required.
• Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R).
• Experience in building risk, revenue and targeting models for consumer products is required.
• Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
• Demonstrate strong data analysis skills and understanding of loss/balance forecasting models and product features.
• Detail oriented, results driven, and able to navigate in a fast-changing, high-demand environment.
• Excellent oral and written communication skills.

Responsibilities

• Independently develop statistical models and scorecards used in credit underwriting, loan pricing, collection, and portfolio risk monitoring.
• Lead a small team of data scientists and coordinate with business partners to align modeling solutions with objectives.
• Translate business problems into statistical problems and leverage machine learning to solve them.
• Lead ad hoc analyses and deep dives to understand drivers of creation trends.
• Monitor performance of quantitative models and support model governance and validation efforts.
• Identify, measure, and monitor credit risk related to M&A, loan purchases, and new business strategies.
• Improve risk identification and management with respect to credit risk modeling activities.
• Maintain infrastructure for model development, documentation, implementation, and validation.
• Promote innovative ways to visualize and digest complex data.
• Collaborate with teams to drive efficiency for the organization.

Skills

Statistical modeling

Logistic regression

Linear regression

Machine learning

Survival analysis

SQL

Python

R

Credit risk modeling

Education

Master's degree in quantitative discipline

PhD preferred

Tools

SQL

Python

R

Job description

PenFed is hiring a (Hybrid) Manager, Quantitative Modeling at our Tysons, Virginia location. The primary purpose of this job is to oversee the development of the credit card underwriting model and the account management behavior score model. The incumbent will manage a small team of data scientists, ensure quality of deliverables, and coordinate with business partners to align modeling solutions with organizational objectives.

Equivalent combination of education and experience is considered.

• Master's Degree in quantitative discipline is required. PHD is highly preferred.
• Minimum of eight (8) years of related work experience in building statistical models and advanced data analysis.
• Minimum of three (3) years of experience as a supervisor / assistant manager required.
• Applied experience with Logistic Regression, Linear Regression, Machine Leaning, and Survival Analysis required.
• Advanced programming skills to include knowledge of statistical programs (e.g. SQL, Python, and R) required.
• Experience in building risk, revenue and targeting models for consumer products is required.
• Ability to manage multiple projects simultaneously and implement rapid changes in project direction.
• Demonstrate strong data analysis skills, ability to understand underlying data and complex loss/balance forecasting models, various product features, possess organizational and prioritization skills, as well as strong attention to detail.
• Detail oriented, results driven, and the ability to navigate in a quickly changing and high demand environment to develop solutions while balancing multiple priorities.
• Critical thinking using both analytical and tactical approach to problem solving within the Quantitative Modeling team is required.
• Ability to interact effectively with team members across the management team, Lines of Business (LOB), credit officers, finance, model governance, oversight, validation, and audit organizations.
• Proven project management skills.
• Excellent oral and written communication skills required.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional 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.

Pay TransparencyThe anticipated starting salary range for this role is $97,400.00 - $191,080.00This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.This position is eligible for an individual performance based annual bonus.

#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.

• Provide leadership and management in developing and implementing programs, policies, and procedures to ensure mission and core values are implemented.
• Independently develop statistical models and scorecards used in credit underwriting, loan pricing, collection, and portfolio risk monitoring.
• Work closely with business partners and be able to translate business problem to statistical problems and leverage machine learning technology to solve business problem.
• Independently lead the effort for any ad hoc analysis and deep dive to understand the business drivers of creation trends.
• Monitor performance of quantitative models and support independent model validation efforts in accordance with the model governance policy.
• Participate in identification, measurement, and monitoring of credit risk as it relates to Merger and Acquisition (M&A), loan purchases and participation, and other new business strategies.
• Improve risk identification, measurements and management with respect to credit risk modeling activities.
• Maintain an efficient and controlled infrastructure for model development, documentation, implementation, and validation.
• Promote innovative ways to visualize and digest complex data.
• Work collaboratively with different teams and function to drive efficiency for the organization.