Quant Analytics Sr. Associate Financial models

Job Description

• Must Have Technical/Functional Skills
• Hands-on experience in statistical and AI/ML model development or validation, with a strong understanding of quantitative modeling methods (including AI/ML algorithms) used for various Finance predictive models
• Proficiency in programming languages such as Python, R, SQL or SAS.
• Excellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholder.

• Perform hands-on quantitative model validation/review. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing, etc.
• Provide an effective challenge throughout the model validation/review to ensure that models are robust, and all assumptions and limitations are justified.
• Present findings, weakness and/or observations identified from the validation/review to model developers/owners and provide them with executable finding remediations.
• Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions.
• Participate in internal audits and regulatory exams by presenting validation results and methodologies and assisting in the remediation of any audit or exam findings.
• Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends. This involves performing research and developing advanced analytical tools or benchmarking models to aid the validation process.