Manager, Quantitative Analysis– Model Assurance Testing & Controls
About The Position
Note: Fidelity will not provide sponsorship for this role. The Role As a Manager of Quantitative Analysis within the Model Assurance, Testing & Controls team, you will play a critical role in safeguarding the firm and its clients by ensuring the integrity, reliability, and effectiveness of models used to detect and prevent financial crime. You will be leading technical initiatives that enable and streamline Model Risk Management (MRM) reviews and supporting development that upholds principles of transparency, reproducibility, and sound model design. Work with us to uphold strong standards in financial crime prevention. Our Financial Crimes Models & Analytics team within Fidelity’s Enterprise Compliance group is dedicated to protecting our clients and company from financial crimes. We build, develop, and improve detection models, employing machine learning and advanced technologies. By partnering with colleagues across Fidelity, we compose data solutions that support our Financial Crimes Compliance programs. Our dedication to accuracy, regulatory requirements, and robustness ensures our models are world-class, reliable, and effective. Join us in our relentless pursuit of excellence and innovation!
Requirements
- Your Python skills, combined with your experience with Snowflake and other database platforms, make you a significant contributor.
- You have a firm grasp of statistical modeling and machine learning ideas along with a familiarity of MRM principles and regulatory requirements.
- You’re looking to apply your cryptocurrency and blockchain technology experience to risk controls, ensuring transactions remain safe, compliant, and customer focused.
- You’re eager to learn and apply large language models (LLMs) along with traditional development approaches to boost productivity.
- Your capacity to handle several projects effectively and your strong analytical and problem-solving skills are essential for this position.
- BS/BA or MS/MA degree in quantitative finance, Statistics, Mathematics, Computer Science, or related field, or equivalent experience.
- Skilled in writing and understanding SQL across multiple database types, with an emphasis on Snowflake.
- Experience with Python for data analysis, automation, and testing frameworks.
- Excellent analytical, problem-solving, and communication skills.
Nice To Haves
- Familiarity with SnowSQL and Snowpark for data handling and replication is a plus.
- Knowledge of principles related to managing model risk and regulatory guidelines is a plus.
Responsibilities
- Crafting automated back-testing frameworks to evaluate machine learning models
- Collaborating with cross-functional teams to strengthen governance and controls
- Providing domain expertise in quantitative methods and help advance continuous improvement of model assurance practices
Benefits
- 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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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
