Senior Manager, Fraud Detection and Analytics

$100K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in data analytics, especially in fraud detection or risk management.
  • Strong proficiency in Python and SQL for data analysis.
  • Experience with large-scale datasets and modern data platforms.
  • Skilled in statistical analysis, visualization, and reporting tools.
  • Familiar with fraud detection methodologies regarding account compromise.
  • Ability to translate complex data insights for diverse audiences.
  • Strong communication and collaboration skills.

Responsibilities

  • Analyze complex datasets to detect fraud patterns and trends.
  • Use Python and SQL to extract actionable insights from data.
  • Evaluate and optimize vendor and internal fraud detection tools.
  • Support efforts to identify organized fraud rings and attacks.
  • Communicate findings to influence fraud prevention strategies.
  • Partner with teams to refine fraud detection models and dashboards.
  • Contribute to improving fraud analytics capabilities.

Benefits

  • Hybrid work environment with onsite requirements every other week.
  • Opportunity to collaborate with cross-functional teams.
  • Access to advanced analytics tools and resources.
  • Contributions towards continuous improvement of fraud analytics.
Full Job Description

Job Description:

Senior Manager, Fraud Detection and Analytics

Fraud Risk & Control

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

  • Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.

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


Certifications:

Category:

Data Analytics and Insights

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