Fraud Risk Analyst

Fiserv

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Berkeley Heights, NJ
Salary
$74,000–$122,400 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $98k
$59k most similar roles pay here $210k

This role pays less than 97% of similar roles. Most pay $127,950–$195,400 — the shaded band above. At the midpoint, this role pays about $98k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Fiserv

Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments

Fiserv currently has 69 open roles on FindRole.

Listed pay typically runs $127,500–$204,000 across 46 roles with salary data.

Most-posted roles

View all roles at Fiserv

At a glance

TL;DR · Fraud Risk Analyst

The Fraud Risk Analyst joins the team to execute analytical processes designed to detect fraud attacks, analyze impacts, and determine effective prevention and mitigation strategies within the fraud risk ecosystem. This role involves identifying new attack signatures, performing root cause evaluations on cardholder account data, and monitoring a suite of early warning monitors via dashboards and reports. The candidate will manage fraud ecosystem measures to ensure control performance while providing data-based insights to influence organizational change. Required technical skills include proficiency in Python, PySpark, SQL, Snowflake, Palantir, AWS, Azure, Splunk, PowerBI, and Actimize for building rules and machine learning models. The role addresses the critical business problem of identifying and mitigating fraudulent activity across a network by mining complex datasets to protect financial and non-financial information from emerging threats.

What you'll do

  • Identify new fraud attacks and detect attack signatures within the network using financial and non-financial data.
  • Determine the root cause of observed or attempted fraud events to inform remediation paths.
  • Maintain and monitor early warning monitors to identify abnormal activity and precursor attack behaviors.
  • Produce daily monitoring reports, dashboards, and ad-hoc reports regarding fraud activity.
  • Analyze the effectiveness and performance of all existing fraud controls within the ecosystem.
  • Conduct ad-hoc analyses to maintain a robust set of analytical capabilities and datasets.
  • Create fact and data-based insights to influence organizational change and mitigate financial impact.

What we're looking for

  • Bachelor’s degree in Business and/or Computer Science or equivalent work experience.
  • 3+ years of related work experience in Fin Tech, Ecommerce, Banking and/or fraud prevention.
  • 3+ years of experience as a Data Analyst.
  • Competency in Python, PySpark, SQL, and other tools like Snowflake, Palantir, AWS, Azure, Splunk, PowerBI, or Actimize.
  • Experience mining complex datasets and generating business reports.
  • Experience developing, creating, and presenting complex concepts to senior leaders.
  • Master's degree in Computer Science or a related field (preferred).
  • Work authorization to be considered for this role.

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