Principal, Fraud Detection and Analytics

Fidelity Financial Services

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Quick summary

Work type
On-site
Location
Covington, KY
Posted
1 day ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $191k
$133k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $165,575–$215,700.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 73 open roles on FindRole.

Listed pay typically runs $126,000–$199,592 across 17 roles with salary data.

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At a glance

TL;DR · Principal, Fraud Detection and Analytics

As a Principal, Fraud Detection and Analytics on the Fraud Risk and Control Detection Team, you will identify and mitigate fraudulent activity, specifically focusing on unauthorized account access and suspicious behavior. You will collaborate with data scientists, fraud strategists, and business stakeholders to enhance real-time detection strategies by uncovering patterns related to account takeovers and coordinated fraud attacks. Your daily responsibilities include analyzing complex datasets, evaluating vendor and internal tools, and supporting anomaly detection efforts to identify organized fraud rings. To succeed, you must utilize Python, SQL, and other analytical tools to extract insights from large volumes of data while developing dashboards and reporting tools. You will apply expertise in fraud detection methodologies and behavioral analytics to solve problems related to account compromise and scam-related fraud across various digital experiences for the organization.

What you'll do

  • Analyze complex datasets to identify patterns related to account takeovers and scam-related fraud.
  • Use Python and SQL to extract actionable insights from large volumes of data.
  • Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors.
  • Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
  • Communicate findings to stakeholders to influence 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.

What we're looking for

  • 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.
  • Skill 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 (preferred).

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