Principal Fraud Detection and Analytics
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
Maintainer signals as of 9/2/2026
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze large datasets to uncover account-takeover and scam-fraud patterns. You will use Python and SQL to generate insights, evaluate detection tools, support anomaly detection, communicate findings, and partner on fraud detection models, dashboards, reporting, and continuous improvement.
Requirements
- 7+ years of data analytics experience, preferably in fraud detection, risk management, or cybersecurity
- Python and SQL proficiency for data analysis and automation
- Experience with large-scale datasets and modern data platforms
- Statistical analysis, visualization, and reporting experience
- Fraud detection methodology knowledge
- Ability to translate complex data into actionable insights
- Anomaly detection or behavioral analytics experience preferred
Responsibilities
- Analyze complex datasets for account-takeover and scam-related fraud patterns
- Use Python and SQL to extract actionable insights from large datasets
- Evaluate and optimize vendor and internal fraud detection tools
- Support anomaly detection for fraud rings and coordinated attacks
- Communicate findings to guide fraud prevention strategies
- Partner to develop and refine fraud detection models, dashboards, and reporting tools
- Improve fraud analytics capabilities and operational effectiveness
