Manager, Data Science
US-VA-McLean
Careers (External)
Req #: 10869
Type: Full-Time
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Overview: Are you looking to take your career from good to great? As an employee of PenFed, every day is an opportunity to thrive, and be part of a team working to ensure our organization is providing world class service to our members, employees, and our communities. We exist to help our members realize their full potential, educate and encourage their dreams, and make every effort to follow our mission and help our members "do better." Joining PenFed is more than being an employee; it's about being a part of the PenFed family. PenFed is hiring a (Hybrid) Manager, Data Science at our Tysons, Virginia location. The primary purpose of this job is to lead the NPV tool development initiative across all consumer lending products. 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. 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. * 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. Qualifications: 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.
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