Senior Fraud Detection Analyst

Fidelity Financial Services

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salt Lake City, UT
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $153k
$110k most similar roles pay here $199k

This listing doesn't post a salary. Most similar roles pay $122,206–$184,787.

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 · Senior Fraud Detection Analyst

As a Senior Fraud Detection Analyst on the Fraud Detection Analytics Team, you will play a critical role in identifying and mitigating fraudulent events such as account logins, openings, and payment attempts across various stages of the customer lifecycle. You will collaborate with data scientists and fraud strategists to implement detection solutions for scam schemes and money movement risks. Your daily work involves analyzing complex, unstructured datasets to uncover risk signals and supporting anomaly detection efforts to identify organized fraud rings. To succeed, you must possess strong proficiency in Python and SQL, along with experience using analytical tools, dashboards, and predictive statistics. You will translate complex data into actionable insights to influence stakeholders and refine rules within a real-time decisioning engine. The role specifically addresses risks involving cryptocurrency and coordinated fraudulent attacks.

What you'll do

  • Analyze complex datasets to identify risk signals related to cryptocurrency and money movement scams.
  • Use Python and SQL to analyze large, unstructured datasets and extract actionable insights.
  • Implement fraud detection strategies within a real-time fraud decisioning engine.
  • Perform anomaly detection to identify coordinated fraud attacks and organized fraud rings.
  • Refine rules and models to continuously improve the fraud detection program.
  • Conduct fraud hunting and data discovery to mitigate risk across the customer lifecycle.
  • Communicate technical insights to stakeholders to influence product changes and strategy.

What we're looking for

  • Bachelor's degree with or Master's degree with experience in data analytics.
  • Strong proficiency in Python and SQL for data analysis and automation.
  • Experience working with large-scale datasets and analytical platforms.
  • Skill in using analytics tools, statistical packages, and predictive statistics to perform advanced analytics.
  • Ability to translate complex data into clear, actionable insights for stakeholders.
  • Strong communication and collaboration skills to influence decisions across business units.
  • Experience in anomaly detection, fraud/scams analytics, or crypto (preferred).

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