Senior Manager, Fraud Detection and Analytics

Soteria Reinsurance Ltd.; Covington (KY); On-site; USD 125,000 - 160,000; Full time

Job summary

Fidelity Investments seeks a Senior Manager, Fraud Detection and Analytics to lead real-time fraud detection efforts. You will collaborate with data scientists, fraud strategists, and business stakeholders to uncover patterns related to account takeovers and organized fraud using Python, SQL, and large-scale data.

You will evaluate and optimize tools, develop dashboards and reporting, and drive continuous improvement of analytics capabilities across digital experiences.

Qualifications

• 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 with large-scale datasets and modern data platforms.
• Skilled in 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.

Responsibilities

• Collaborate with data scientists and business stakeholders to enhance real-time fraud detection.
• Develop and refine fraud detection models, dashboards, and reporting tools.
• Evaluate vendor and internal tools to improve detection of fraudulent behaviors.
• Communicate findings to influence stakeholders and guide prevention strategies.
• Support anomaly detection and detection of organized fraud rings.
• Use Python, SQL and analytics tools to extract actionable insights.

Skills

Python

SQL

Data analysis

Large-scale datasets

Analytics tools

Fraud detection methodologies

Communication

Collaboration

Anomaly detection

Job description

Job Description: Senior Manager, Fraud Detection and Analytics

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

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 Senior Manager, 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.

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

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.

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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

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