Senior Data Science Engineer - Financial Crimes
Job Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Senior Data Science Engineer - Financial Crimes
The role:
Financial Crimes Models & Analytics is seeking a Senior Data Science Engineer to contribute to the design, development, and optimization of our transaction monitoring surveillance models.
You will work closely with our Data Scientists, Business Intelligence analysts, Investigators, and Compliance professionals to translate regulatory requirements into scalable, rules based & machine learning detection models. This role requires a blend of data engineering, analytics, and AI/ML expertise, along with an understanding of financial crime risks associated with Fidelity's cryptocurrency and brokerage offerings.
If you’re passionate about data analysis, feature engineering, and machine learning to help fight financial crime, this is an excellent opportunity to grow your career!
The responsibilities of this role:
Collaborate with team members and compliance partners to understand AML typologies and red flags we must detect
Assist in building detection models and features using SQL, Python, DBT (Data Build Tool), and Snowflake
Develop and maintain data pipelines that integrate multiple data sources (e.g., Snowflake, Oracle, MongoDB, Postgres)
Support the implementation of machine learning and AI techniques to enhance suspicious activity detection by analyzing and identifying appropriate target data
Contribute to testing frameworks for unit, regression, and model performance validation
Help monitor and tune model performance to ensure compliance and effectiveness
Participate in code reviews and knowledge sharing to maintain best practices
Explore emerging technologies and assess their applicability to financial crime detection
The Expertise and Skills You Bring
Bachelor’s degree in Computer Science or equivalent technical expertise.
2+ years of experience in software or data engineering.
Advanced proficiency in SQL and Python, with the ability to deliver meaningful business analytics and insights.
Strong analytical mindset, curious and self-sufficient in exploring and understanding data across systems.
Prior experience working with machine learning algorithms, AI agents, and large language models (LLMs) is advantageous
Exposure to customer and transactional data, particularly in fraud or AML contexts, is advantageous.
Experience working with dbt (data build tool) is a plus.
The Team
Financial Crimes Models & Analytics is made up of Data Scientists, Data Engineers, Business Intelligence, and Data Visualization analysts. Our team has broad responsibility for Fidelity Investments transaction monitoring across multiple business units, including Brokerage and Digital Assets. We leverage data to detect potential suspicious activity, customer behavior changes, and more.
Coverage areas include insider trading, high risk money movement, customer behavior & potentially suspicious transactional patterns, elder financial exploitation, low-priced securities, emerging risks, cryptocurrency transactions and many more.
The base salary range for this position is $97,000-185,000 USD per year.Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.