Sr. Data Scientist, Model Risk Management

Job description

About Oportun

Oportun (Nasdaq: OPRT) is a digital banking platform that puts its 1.9 million members’ financial goals within reach. With intelligent borrowing, savings, budgeting, and spending capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $14.7 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped our neobanking members save an average of more than $1,800 annually. For more information, visit Oportun.com .


Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups and our Diversity, Equity, Inclusion and Belonging Council.


  • Perform independent model validation, annual model review, ongoing monitoring report review, required action item review/closure on the cutting-edge machine learning models.
  • Produce high-quality model validation reports, highlighting risks and limitations of the model in a concise manner.
  • Communicate to business audiences through verbal and written presentations describing the results of the validation findings and mitigation actions.
  • Work closely with business owner's/model users and developers to understand the business context for model use and facilitate the model approval process.
  • Stay up to date with regulatory expectations of model development, use, and validation activities.
  • Support Oportun’s the model risk management framework, including annual validation plans, model inventory, model risk ranking, and model risk governance.
  • Develop and maintain effective partnerships with key model stakeholders.
  • Support the coordination of model risk governance practices with the model users.
  • Attention to detail in both analytics and documentation. Qualifications


  • Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered).
  • 3+ years of practical quantitative programming experience with Python, R, and SQL.
  • 3+ years of experience in financial or credit risk modeling or validations.
  • Experience and knowledge of supervised and unsupervised machine learning methodologies, such as GBM, XGBoost, and NLP.
  • Excellent written and oral communication skills.
  • Strong stakeholder management and project management skills.
  • Good team player and willing to help and share.

The US base salary range for this full-time position is $90,000- $139,500

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.

Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits

We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/ .

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