Fidelity will not provide immigration sponsorship for this position.
Job Description:The Role
The Fraud Risk and Control (FRC) Detection Team is responsible for identifying and mitigating fraudulent activity, focusing on unauthorized account access and suspicious behavior. The team uses a combination of vendor technologies and internally developed models to enable real-time detection and intervention across the customer lifecycle.
As a Principal, Fraud Detection and Analytics, you will collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies. Your work will focus on uncovering patterns related to account takeovers, and coordinated fraud attacks using advanced analytics and large-scale data
- Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.
- Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.
- Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.
- Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
- Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.
- Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.
- Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.
The Expertise and Skills You Bring
- 7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
- Strong proficiency in Python and SQL for data analysis and automation.
- Experience working with large-scale datasets and modern data platforms.
- Skilled in using analytics tools for statistical analysis, visualization, and reporting.
- Familiarity with fraud detection methodologies, especially related to account compromise and scams.
- Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
- Strong communication and collaboration skills to work effectively across teams.
- Experience in anomaly detection or behavioral analytics 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.
Certifications:Category:Data Analytics and Insights