Principal Data Scientist

PenFed Credit Union
McLean, VA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$97,400.0 - $184,456.0
Working hours
Regular working hours

Tech stack

Data Analysis Computer Programming R (Programming Language) Python (Programming Language) Linear Regression Logistic Regression Machine Learning SQL Databases Model Validation Performance Monitor

Job description

PenFed is hiring a (Hybrid) Principal Data Scientist at our Tysons, Virginia location. The primary purpose of this job is to oversee the development and monitoring of credit risk models for loan originations, risk-adjusted pricing, and portfolio management. The incumbent will lead key model development initiatives, and coordinate with business partners to align modeling solutions with organizational objectives., 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.

  • 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.

Requirements

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 six (6) years of experience for PhD degree holders.
  • 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.
  • Experience with A.I. tools preferred.

Supervisory Responsibility

This position will not supervise employees., 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 not required.

Benefits & conditions

The anticipated starting salary range for this role is $184.456.00 - $97,400.00

This 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, At PenFed, we offer a robust benefits package designed to support you both personally and professionally. You’ll have access to comprehensive health, dental, and vision plans; paid time off; and family-friendly benefits like paid parental leave, care support, and fitness center access. Financial wellness is encouraged through features like a 401(k) match, employee loan discounts, and fully paid life and disability coverage. We also support growth via education assistance, community involvement, and volunteer opportunities.

About the company

Helping members achieve their dreams since 1935. Pentagon Federal Credit Union (PenFed) is one of America’s largest federal credit unions, serving 2.8 million members worldwide with $29 billion in assets. PenFed offers market-leading certificates, checking and savings, credit cards, personal loans, mortgages, auto loans, and a wide range of other financial services, always with members’ interests in mind. PenFed is federally insured by the NCUA and is an Equal Housing Lender.

Berkshire Hathaway HomeServices PenFed Realty, LLC is a full-service real estate company ready to assist our clients with buying, selling and renting a home. The company is a wholly owned subsidiary of PenFed Credit Union and is the largest independently-owned brokerage in the Berkshire Hathaway HomeServices network, placing us in the top 1% of all real estate brokerages in the country. With almost 60 offices and nearly 2,000 world-class sales professionals, we offer complete service coverage in Virginia, Maryland, the District of Columbia, Delaware, Pennsylvania, West Virginia, Florida, Tennessee, Kansas and Texas. In addition, we also offer specialized client services which include management of vacation properties and long-term rentals, corporate relocation services and national referral network.

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