Senior Data Scientist, Model Risk Management
Oportun
๐Remote - India
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Job highlights
Summary
Join Oportun's team and contribute to delivering affordable credit to those left out of the financial mainstream. As a Model Validation Specialist, you will work on traditional statistical modeling methods and cutting-edge machine learning models for loss forecasting, underwriting, marketing, collection management, and fraud detection.
Requirements
- Masterโs degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline
- 3+ years of experience validating and/or developing traditional statistical modeling methods applied in loss forecasting (Time series, linear regression, logistic regression, survival modeling, etc.)
- 3+ years of experience and knowledge of Fair Value (FV) Loan Loss Estimate (LLE) process and modeling
- 1+ year of experience leveraging machine learning methodologies, such as GBM, XGBoost, and NLP etc
- 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
- Excellent writing and communication skills
- Good team player and willing to help and share
Responsibilities
- Conduct independent review and testing on both traditional statistical modeling methods and AI/ML models used in loss forecasting, underwriting, marketing, collection management, and fraud detection
- 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
- 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 Oportunโs 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
Preferred Qualifications
- Loss Forecasting or stress testing model validation experience
- AI/ML model validation experience
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