Senior Fraud Detection Analyst

Fidelity; Salt Lake City (UT); On-site; USD 100,000 - 140,000; Full time

Job summary

Fidelity seeks a data analytics professional to support real-time fraud detection and prevention. You will work with data scientists, fraud strategists, and business stakeholders to identify risk signals and implement detection solutions targeting cryptocurrency-related scams and money movement fraud.

The role requires strong Python and SQL skills, experience with large datasets, and the ability to translate complex data into actionable insights.

Qualifications

• Bachelor's with 5+ years or Master's with 3+ years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience working with large-scale datasets and analytical platforms.

Responsibilities

• Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.
• Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets and extract actionable insights.
• Implement fraud detection strategies in a real-time fraud decisioning engine.
• Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.
• Communicate insights clearly and effectively to influence stakeholders and drive product changes.
• Collaborate across business units to drive data-informed strategies for fraud detection.
• Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.

Skills

Python

SQL

Data analytics

Fraud detection

Education

Bachelor's degree + 5 years

Master's degree + 3 years

Tools

Dashboards

Data visualization platforms

Statistical packages

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role
The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events—such as account logins, account openings, and payment attempts—occurring on Fidelity’s platform are detected and mitigated in a timely manner. The team leverages a combination of vendor and internally developed tools and models to enable real-time detection and interdiction at various stages of the customer lifecycle.
You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. Your work will focus on identifying fraud and scam schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools. Key responsibilities include:

• Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.

• Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets and extract actionable insights.

• Implement fraud detection strategies in a real-time fraud decisioning engine.

• Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.

• Communicate insights clearly and effectively to influence stakeholders and drive product changes.

• Collaborate across business units to drive data-informed strategies for fraud detection.

• Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.

The Expertise and Skills You Bring

• Bachelor's with 5 plus years or Master's with 3 plus years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.

• Strong proficiency in Python and SQL for data analysis and automation.

• Experience working with large-scale datasets and analytical platforms.

• Skilled in using analytics tools (e.g., dashboards, statistical packages, data visualization platforms) and predictive statistics to perform advanced analytics and uncover actionable insights.

• Ability to translate complex data into clear, actionable insights.

• Strong communication and collaboration skills to work across teams and influence decisions.

• Experience in anomaly detection, fraud/scams analytics, or crypto is a plus.

Fidelity’s Onsite Working Model

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Category

Data Analytics and Insights

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.