Fraud Analytics Lead - Real-Time Detection & Insights

Fidelity Investments

Durham (NC)

On-site

USD 110,000 - 150,000

Full time

2 days ago
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Job summary

Fidelity Investments in Durham, NC seeks a data analytics professional to support real-time fraud detection and prevention. You will work with data scientists, fraud strategists, and business stakeholders to identify fraud schemes and implement detection solutions using Python, SQL, and analytics tools.

You will analyze complex datasets, translate insights into actions, and help refine rules and models to strengthen fraud prevention across the platform.

Qualifications

  • Bachelor’s degree with 5+ years or Master’s with 3+ years in data analytics.
  • Strong Python and SQL skills for data analysis and automation.
  • Experience with large-scale datasets and analytics platforms.

Responsibilities

  • Analyze datasets to identify risk signals in fraudulent debit card transactions.
  • Use Python, SQL and analytics tools to derive insights from large datasets.
  • Implement fraud detection in a real-time decisioning engine.
  • Support anomaly detection to spot coordinated fraud attacks.
  • Communicate insights clearly to influence product changes.
  • Collaborate across teams to drive data-informed fraud strategies.
  • Contribute to continuous improvement via rule/model refinement and data discovery.

Skills

Python
SQL
Data analytics
Anomaly detection
Communication
Collaboration

Education

Bachelor's with 5+ years
Master's with 3+ years

Tools

Dashboards
Data visualization
Statistical packages

Job description

Fidelity Investments in Durham, NC seeks a data analytics professional to support real-time fraud detection and prevention. You will work with data scientists, fraud strategists, and business stakeholders to identify fraud schemes and implement detection solutions using Python, SQL, and analytics tools.

You will analyze complex datasets, translate insights into actions, and help refine rules and models to strengthen fraud prevention across the platform.

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