Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
SF
Hybrid Senior Data Science Engineer – Financial Crimes
Posted 3 weeks ago
About the role
- Senior Data Science Engineer designing and optimizing transaction monitoring models for financial crimes at Fidelity. Collaborating with data scientists and compliance professionals in the analysis and detection of suspicious activities.
Responsibilities
- 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
Requirements
- 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
- 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
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
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