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ABOUT OPORTUN
Oportun (Nasdaq: OPRT) is a digital banking platform that serves its 1.9 million members by supporting their financial goals. Through intelligent borrowing, savings, budgeting, and spending capabilities, Oportun gives members the assurance they need to build a better financial future. Since its inception, Oportun has provided over $15.5 billion in responsible and affordable credit, saved its members more than $2.3 billion in interest and fees, and helped them save an average of over $1,800 annually. For more information, visit Oportun.com.
WORKING AT OPORTUN
Working at Oportun means being part of a unique team that fosters a diverse, equitable, and inclusive culture where everyone feels they belong and are encouraged to express their perspectives. This inclusive culture is directly linked to our organization's performance and our mission to provide affordable credit to individuals excluded from mainstream finance. We celebrate and cultivate our inclusive culture through our employee resource groups.
ROLE DESCRIPTION
- Conduct independent validation of state-of-the-art machine learning models and generate high-quality validation reports, succinctly highlighting model risks and limitations.
- Perform independent testing on AI/ML models.
- Communicate validation findings and action plans to business audiences through oral and written presentations.
- Collaborate closely with business owners/model users and developers to understand the business context of model use and facilitate the model approval process.
- Keep abreast of regulatory expectations regarding model development, use, and validation activities.
- Support Oportun’s model risk management framework, which includes annual validation plans, model inventory, model risk ranking, and model risk governance.
- Develop and maintain strong partnerships with key model stakeholders.
- Support the coordination of model risk governance practices with the model users.
- Pay attention to detail in both analytics and documentation.
REQUIRED QUALIFICATIONS
- Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline.
- 3+ years of hands-on quantitative programming experience with Python, SQL, Spark, and/or Scala.
- 3+ years of experience in financial risk model development or validation.
- 3+ years of experience using machine learning methodologies such as GBM, XGBoost, and NLP etc.
- Excellent writing and communication skills.
- Good teamwork skills and willingness to assist and share knowledge.
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 law or regulation 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/.
We will never ask for personally identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you believe you have been a victim of fraud by someone pretending to be us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).
