Summary:
This role focuses on conducting independent validations and effective challenges of a wide range of financial and risk models, including AI/ML and scorecard models. The position requires strong technical and regulatory expertise in model risk management, along with hands-on experience in statistical programming and banking domain knowledge.
Position Info:
Title: Data Science Modeler (Scorecard Model Validation)
Client: Sogeti
Duration: 6+ Months
Location: Riverwoods, IL 60015
Work Mode: Hybrid Prefered / Remote
Responsibilities:
Execute validations for financial, credit, AML, and AI/ML models in compliance with governance standards
Independently assess and challenge model design, performance, and assumptions
Maintain validation documentation and present results to senior management and regulators
Identify and communicate emerging model risk issues across the enterprise
Participate in the development and enforcement of model risk policies and standards
Interact with regulators and auditors to demonstrate validation process soundness
Skills/Qualifications:
2+ years of experience in model validation or development, particularly in AI/ML models (e.g., random forest, XGBoost, neural networks)
Strong programming skills in Python, R, and SQL
Solid background in statistics, econometrics, mathematics, or finance
Experience validating models in areas such as credit acquisition, fraud detection, marketing, and collections
Familiarity with banking operations, credit card products, Fair Lending policies, and financial regulations
Proven ability to challenge model performance and assumptions effectively
Experience preparing reports and documentation for internal and external review
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