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.
Roles & Responsibilities:
- 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.
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