Analyst, Fraud Detection and Analytics

Fidelity InvestmentsJersey City, NJ

About The Position

You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. You will apply analytical techniques to large-scale datasets, utilize vendor tools to detect and mitigate scam events, where Fidelity customers are manipulated into sending money to legitimate payees. You will also work with the broader Detection and Analytics group to define processed and optimize overall detection strategy, including detection of Account Take Over events, Identify Theft and other types of fraud.

Requirements

  • Advanced analytics expertise.
  • Fraud-domain knowledge.
  • Cross-functional communication skills.
  • Hands-on experience using Python, SQL, and analytical platforms to work with large, complex datasets and uncover actionable insights.
  • Identifying scam-related fraud patterns.
  • Supporting anomaly detection efforts.
  • Contributing to the detection of coordinated fraud attacks and organized fraud rings.
  • Leveraging both vendor products and internally built solutions to enhance customer authentication and identify risk indicators within authenticated sessions.
  • Developing and refining fraud detection models and dashboards.
  • Applying identity proofing tools and fraud-mitigation methodologies.
  • Ability to translate complex analytical findings into clear, influential insights that drive product changes and data-informed decision-making across business units.
  • Strong collaboration and communication skills.
  • Effectively partner with stakeholders to advance strategies that reduce scam risk and enhance fraud-detection capabilities.

Responsibilities

  • Support real-time fraud detection and prevention strategies.
  • Apply analytical techniques to large-scale datasets.
  • Utilize vendor tools to detect and mitigate scam events.
  • Work with the broader Detection and Analytics group to define processes and optimize overall detection strategy, including detection of Account Take Over events, Identify Theft and other types of fraud.

Benefits

  • Comprehensive health care coverage
  • Emotional well-being support
  • Market-leading retirement
  • Generous paid time off
  • Parental leave
  • Charitable giving employee match program
  • Educational assistance including student loan repayment
  • Tuition reimbursement
  • Learning resources to develop your career

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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