Manager, Fraud Detection and Data Analytics
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.
Requirements
- 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.
Skills
- 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.
Pay
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.
Schedule
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.
Benefits
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.