Description

You will develop, validate, and review quantitative models using statistical and AI/ML methods for predictive finance applications.

This role is on-site.

Responsibilities

• Perform hands-on quantitative model validation, reviewing conceptual soundness, data accuracy, and methodology.
• Challenge models during validation to ensure all assumptions and limitations are justified.
• Present findings, weaknesses, and observations from validation reviews to model developers, providing executable remediation steps.
• Prepare detailed validation reports documenting the approach, findings, and conclusions.
• Act as a subject matter expert on modeling techniques, risk management, and regulatory trends.

Required Skills

• 5+ years of experience in statistical and AI/ML model development or validation.
• Proficiency in Python, R, SQL, or SAS.
• Hands-on experience with Artificial Intelligence and AI/ML algorithms for predictive finance models.
• Strong understanding of quantitative modeling methods.
• Ability to articulate complex technical findings to both technical and non-technical stakeholders.
• Experience performing backtesting, benchmarking, and stress testing.

Key Skills

Education

Any Gradute