Manager, Data Analytics and Insights

Location: Block 1 DT, Chennai India

Time Type: Full time

Job Description

Job Description:

Job Title: Manager, Data Analytics and Insights

The Purpose of this Role

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 Value you Deliver

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.

How your Work Impacts the Organization

You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. Your work will focus on identifying payment card fraud schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools.

The Skills that are Key to this Role

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 we are Looking for

Qualifications:

• Bachelor's with 5+ years or Master's with 3+ 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.

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