Opportun
San Carlos, CA
1,001-5,000 employees
Oportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
Other Open Roles
- Director, Data Science (R12659)
- Senior Data Engineer
- Senior Manager, Data Science (R12658)
- Strategy and Data Analytics - Senior Analyst R12402
- Manager, Product Analytics
Prior Listings
- Manager, Product Analytics
- Business Analyst
- Staff Analytics Engineer- Manager
- Sr. Data Scientist, Model Risk Management
- Data Engineer
- Sr. Data Engineer
- Senior Data Scientist
- Principal Engineer - Data Engineering
- Staff Data Engineer
- Manager, Data Science
- Staff Data Engineer
- Sr. Manager, Collection Analytics
- Data Scientist
- Sr. Manager, Data Scientist
- Sr Analyst, Customer Lifecycle Marketing Strategy and Analytics
- Senior Data Scientist, Model Risk Management
- Financial Systems Senior Analyst
- Senior Manager, Product Analytics
- Sr. Engineering Manager - ML Infra
- Sr. Staff ML Engineer
Senior Data Scientist, Model Risk Management
Senior Data Scientist, Model Risk Management
This job is no longer open
ROLE DESCRIPTION
- Perform independent model validation on the cutting-edge machine learning models and produce high-quality model validation reports, highlighting risks and limitations of the model in a concise manner.
- Conduct independent testing on AI/ML models.
- Communicate to business audiences through verbal and written presentations describing the results of the validation findings and mitigation actions.
- Work closely with business owners/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.
REQUIRED QUALIFICATIONS
- Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline.
- 3+ years of practical 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 leveraging machine learning methodologies, such as GBM, XGBoost, and NLP etc.
- Excellent writing and communication skills.
- Good team player and willing to help and share.
This job is no longer open