Senior Data Science Engineer - Financial Crimes

Senior Data Science Engineer - Financial Crimes

Fidelity Investments

Merrimack, NH

Salary: $97K - $185K/yr

Employment:
Full-time

Work arrangement:
On-site, Remote

Benefits:
Medical, Retirement, PTO

Posted 14 hours ago

Note:

Fidelity will not provide immigration sponsorship for this position.

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 Data Scientists, Business Intelligence analysts, Investigators, and Compliance professionals to translate regulatory requirements into scalable, rules‑based and 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!

• 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, Mongo
  
  DB, 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.

• 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.

Mid-Senior level

Full-time

Information Technology

Technology, Information and Internet