Description
The Role
The Senior Data Engineer – Fraud Analytics is responsible for designing, building, and maintaining data solutions that support the research, detection, and analysis of fraud events. This role partners closely with fraud analysts, investigators, and business stakeholders to transform large, complex datasets into actionable insights that reduce fraud risk and improve detection strategies.
Key Responsibilities
- Design, develop, and optimize data pipelines to support fraud research and analytics use cases
- Research and analyze fraud events by querying and correlating structured and unstructured data across multiple platforms
- Write complex, high-performance SQL queries to extract, transform, and analyze large datasets
- Work extensively with Oracle databases to support enterprise-scale fraud analytics
- Utilize MongoDB for handling semi-structured and unstructured fraud-related data
- Investigate data anomalies, identify fraud patterns, and support root-cause analysis
- Partner with fraud operations, compliance, and analytics teams to translate business questions into technical data solutions
- Ensure data accuracy, consistency, and reliability across fraud datasets
- Document data models, logic, and findings clearly for both technical and non-technical audiences
- Communicate findings effectively through written reports, presentations, and stakeholder discussions
- Support continuous improvement of fraud detection and monitoring processes through data-driven insights
The Expertise and Skills You Bring
Required Skills
- 5+ years of experience in data engineering, analytics, or a related technical role
- Advanced proficiency in SQL, including complex joins, subqueries, performance tuning, and data validation
- Strong hands-on experience with Oracle databases
- Working knowledge of MongoDB or similar NoSQL technologies
- Experience researching fraud events, financial anomalies, risk signals, or suspicious activity (preferred)
- Strong analytical and problem-solving skills with attention to detail
- Excellent written and verbal communication skills, with the ability to explain technical findings to business partners
- Ability to work independently while collaborating across cross-functional teams
Preferred Qualifications
- Experience supporting fraud, risk, compliance, or financial crime analytics
- Familiarity with large-scale data environments and data warehousing concepts
- Exposure to scripting or data-processing languages such as Python (nice to have)
- Experience working in regulated or financial services environments
- Strong critical thinking and investigative mindset
- Ability to prioritize and manage multiple research efforts simultaneously
- Comfortable working with ambiguity and incomplete data
- Collaborative, proactive, and detail-oriented
The Team
We are exceptionally proud of the Fidelity Investments Charitable Gift Fund (the charity), which sponsors the largest national donor-advised fund program. Since 1991, the charity has empowered tens of thousands of donors to improve their philanthropic impact. Governed by an independent Board of Trustees, the charity relies on NCS, a business unit of Fidelity Investments, as its service provider. NCS delivers a comprehensive suite of services, including Program Development, Investment Management, Service Delivery, Marketing, Tax Preparation, Technology, Compliance, and Fundraising. Our team thrives on collaboration, world-class service, and a strong dedication to our clients’ goals!
The hourly pay rate range for this position is $70.00 – $100.00 per hour.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors
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