Data Scientist I (Quants)

at  TD Bank

JOB DESCRIPTION:

• Job Title

TD MODEL VALIDATION (MV) GROUP IS RESPONSIBLE FOR THE INDEPENDENT VALIDATION AND APPROVAL OF ANALYTICAL MODELS USED FOR RISK, PRICING, HEDGING, INSURANCE, MARKETING AND CAPITAL EVALUATION FOR PORTFOLIO OF FINANCIAL PRODUCTS. THIS ALSO INCLUDES VALIDATION OF DECISION-MAKING MODELS. MACHINE LEARNING AND AI MODEL VALIDATION TEAM IS RESPONSIBLE FOR THE VALIDATION OF THE ML-BASED MODELS USED ACROSS THE BANK FOR VARIOUS USE CASES.

• Job Description

THE POSITION REPORTS TO SENIOR MANAGER, MACHINE LEARNING AND AI MODEL VALIDATION GROUP WITHIN MV. DETAILED ACCOUNTABILITIES INCLUDE:

• Validate (review and provide effective challenge) Machine Learning models and AI applications.
• Develop/implement Machine Learning model validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner.
• Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Ensure extensive testing of model sensitivity that help assessing model behavior and risk.
• Implement and evaluate external models used for benchmarking internal model performance. Participate in model selection and related due diligence activity.
• Communicate findings and recommendations to both technical and non-technical stakeholders.
• Actively participate with business partners in internal data management to ensure data integrity and the completeness of data capture for model validation and development purpose.
• Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI and share knowledge with business partners and senior management.

Please refer the Job description for details