Senior Staff Data Scientist, Machine Learning

Senior Staff Data Scientist, Machine Learning

Shape a brighter financial future with us. Together with our members, were changing the way people think about and interact with personal finance.

Were a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals.

The role

As the Senior Staff Data Scientist Quantitative Credit Risk Management, Home Loans, you will be a key leader and expert in the development and management of quantitative credit risk models for our Mortgage, Home Equity, HELOC, and Jumbo loan products.

• Model Development and Management : Independently develop, implement, maintain, and analyze quantitative / econometric credit risk models.
• Data Analysis : Prepare, manage, and analyze large customer loan, deposit, or financial data sets for statistical analysis.
• Technical Leadership : Serve as a quantitative expert in the use of statistical programming languages and data management environments.
• Team Leadership : Provide mentoring, training, and guidance to less experienced analysts.
• Cross-Functional Collaboration : Partner and collaborate with colleagues in Credit Risk Management, Business Units, Model Risk Management, Treasury and review functions.
• Communication : Communicate with clear narratives, compelling data visualization, and technical precision.
• Model Documentation and Compliance : Develop, maintain, and manage satisfactory model documentation.
• Performance Monitoring : Track portfolio performance, model performance, campaign tracking, and risk strategy results.

What youll need :

Nice to have :

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, national origin, ancestry, age, physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and / or veteran status, or any other basis prohibited by applicable state or federal law.

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