Summary:
This role focuses on financial model validation with a strong emphasis on model risk management. The ideal candidate will have hands-on experience in validating or developing various financial risk models and possess strong statistical and technical skills, particularly in Python and Excel.
Position Info:
Title: Data Science Modeler (Financial Model Validation)
Client: Discover Consumer Bank
Duration: 6+ Months
Location: Riverwoods, IL 60015
Work Mode: Hybrid Prefered / Remote
Responsibilities:
Validate or develop financial models such as loss forecasting, PPNR, Economic Capital, and market/liquidity risk models.
Conduct statistical analysis and time series modeling for model validation purposes.
Ensure model compliance with model risk management standards.
Support documentation and reporting for internal stakeholders and regulatory reviews.
Skills/Qualifications:
3+ years of experience in model validation or development within financial risk domains.
Proficient in statistical modeling, econometrics, and time series analysis.
Strong technical skills in Python and Excel.
Experience in model risk management is highly preferred
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