Manager, Fraud Detection and Analytics

Soteria Reinsurance Ltd.; Durham, Northern (NC, KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Fidelity Investments in Durham, NC is seeking an experienced data analytics professional to identify risk signals in fraudulent debit card transactions. You will apply Python, SQL, and analytics platforms to scrutinize large datasets and extract actionable insights for fraud prevention.

The role involves implementing real-time fraud detection strategies, supporting anomaly detection, and communicating findings to stakeholders to influence product decisions.

Qualifications

• Bachelor's with 5+ years or Master's with 3+ years in data analytics, preferably in fraud detection, cybersecurity, or risk domains.
• Strong proficiency in Python and SQL for data analysis and automation.
• Experience with large-scale datasets and analytics platforms.
• Ability to translate complex data into clear, actionable insights.

Responsibilities

• Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.
• Use Python, SQL, and analytical tools to analyze large, complex 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

Communication

Education

Bachelor's degree in a relevant field

Master's degree in a relevant field

Tools

Analytics platforms

Dashboards

Job description

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

Key Responsibilities:

• Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.
• Use Python, SQL, and analytical tools to analyze large, complex 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) to perform advanced analytics and uncover actionable insights.
• Familiarity with payment card fraud detection and risk management.
• 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 or fraud analytics is a plus.

The Team

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.

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 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.

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.

Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to [e-mail], or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact [e-mail] For roles based in Germany: Contact [e-mail]

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