Director, Data Science Testing & Controls

Fidelity Investments-posted 6 months ago

$103,000 - $218,000/Yr

Full-time • Senior

Hybrid • Merrimack, NH

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

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This role will lead the strategic oversight and independent validation of data science models and analytics used in the detection and prevention of financial crimes. This role ensures that advanced learning solutions, including machine learning models and rule-based systems, meet regulatory expectations, internal governance standards, and operational effectiveness benchmarks. The Director will drive a robust testing and control framework across model development, deployment, and monitoring, while partnering with compliance, risk, and technology teams.

Lead a team of quantitative analysts, model validators, and control specialists focused on testing and validating financial crime detection models.
Develop and execute a comprehensive testing and controls strategy aligned with regulatory expectations (e.g., OCC, FRB, FinCEN) and internal risk frameworks.
Oversee the design and execution of rigorous testing protocols for machine learning and rule-based models, including performance benchmarking, back testing, and scenario analysis.
Ensure models are interpretable, explainable, and compliant with regulatory guidance (e.g. SR 11-7).
Present findings and recommendations on model performance, enhancement, or augmentation requirements to Financial Crimes Compliance senior leaders.

Master's or Ph.D. in Data Science, Statistics, Economics or a related quantitative field preferred.
Minimum 8 years of experience in data science, model validation, testing framework, model risk management, or analytics within financial services, with at least 3 years in a leadership role.
Deep understanding of financial crime typologies, AML/BSA regulations, new technologies and fraud detection methodologies.
Strong communication skills with the ability to present complex findings to non-technical partners and regulators.
Excellency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI).

Comprehensive health care coverage and emotional well-being support.
Market-leading retirement.
Generous paid time off and parental leave.
Charitable giving employee match program.
Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.

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