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Fraud Risk Management Jobs (NOW HIRING)

Flex

Fraud Risk Management Lead

The Fraud Risk Management Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the Fraud Risk Management function ...

Coinstar

Director Fraud Risk Management

Bellevue, WA · On-site +1

$238K/yr

The Director of Fraud Risk Management is responsible for building and overseeing all aspects of Coinstar's fraud, scam, and risk governance framework and program. This role leads the end-to-end ...

Coinstar, LLC

Director Fraud Risk Management

Bellevue, WA · On-site +1

$238K/yr

The Director of Fraud Risk Management is responsible for building and overseeing all aspects of Coinstar's fraud, scam, and risk governance framework and program. This role leads the end-to-end ...

Coinstar

Director Fraud Risk Management

Bellevue, WA · On-site +1

$238K/yr

The Director of Fraud Risk Management is responsible for building and overseeing all aspects of Coinstar's fraud, scam, and risk governance framework and program. This role leads the end-to-end ...

Allstate

Fraud Risk Management Senior Manager

Concord, NC · On-site

$110K - $160K/yr

The Fraud Risk Management Senior Manager role leads the Fraud Risk and Return Management (FRRM) team, a cross-functional group of up to 10 fraud business consultants and technical analysts ...

Allstate

Fraud Risk Management Senior Consultant I

The Fraud Risk Management Senior Consultant I sits in the Fraud Insights & Risk Management (FIRM) team - a cross-functional group of fraud strategists, consultants, and technical analysts - that ...

EagleBank

Fraud Risk Manager

Silver Spring, MD · On-site

$104K - $173K/yr

Maintain and continuously enhance the enterprise Fraud Risk Management Policy and supporting standards and procedures. * Conduct periodic fraud risk assessments to identify emerging threats, control ...

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Fraud Risk Management information

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$51.5K

$111.6K

$170K

How much do fraud risk management jobs pay per year?

As of Jun 17, 2026, the average yearly pay for fraud risk management in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced in Fraud Risk Management roles and how are they addressed?

Professionals in Fraud Risk Management often face challenges such as staying ahead of constantly evolving fraud tactics, analyzing large volumes of transactional data, and ensuring compliance with regulatory standards. To address these challenges, teams typically employ advanced analytic tools, collaborate cross-functionally with IT and compliance departments, and engage in continuous training to stay updated on emerging threats. The work environment is dynamic and may involve both independent analysis and team-based investigations, fostering a culture of vigilance and proactive risk mitigation. This dynamic landscape offers professionals the opportunity to develop specialized expertise and grow into senior risk or leadership roles over time.

Is fraud a good career?

Fraud risk management is a growing field that involves detecting and preventing financial crimes, often requiring skills in data analysis, investigation, and knowledge of compliance standards. It offers opportunities for advancement and specialization, with roles in various industries such as banking, insurance, and retail. Success in this career typically depends on certifications like Certified Fraud Examiner (CFE) and staying updated on emerging fraud schemes.

How much does a Risk Manager get paid?

A Risk Manager's average salary typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in fraud risk management often require strong analytical skills and certifications like FRM or CRM to advance and increase earning potential.

What are the key skills and qualifications needed to thrive in the Fraud Risk Management position, and why are they important?

To thrive in Fraud Risk Management, you need strong analytical skills, attention to detail, and a solid understanding of financial systems, often supported by degrees in finance, accounting, or related fields. Familiarity with fraud detection software, data analysis tools like SQL or SAS, and industry certifications such as CFE (Certified Fraud Examiner) are highly valued. Excellent communication, problem-solving abilities, and ethical integrity are critical soft skills for collaborating with teams and handling sensitive investigations. These skills and qualities are essential to effectively identify, investigate, and mitigate fraud risks, protecting organizational assets and maintaining compliance.

What does a fraud Risk Manager do?

A Fraud Risk Manager is responsible for developing and implementing strategies to detect, prevent, and respond to fraudulent activities within an organization. They analyze data, monitor transactions, and collaborate with other departments to reduce financial losses and ensure compliance with regulations. Strong analytical skills and knowledge of fraud detection tools are essential for this role.

What is a Fraud Risk Management job?

A Fraud Risk Management job involves identifying, assessing, and mitigating risks related to fraudulent activities within an organization. Professionals in this role develop and implement policies, controls, and monitoring systems to prevent fraud and financial crimes. They work closely with compliance, legal, and operational teams to investigate suspicious activities and ensure regulatory compliance. The goal is to minimize financial losses and protect the organization's reputation.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CRM, and strong leadership skills, especially in financial services or large corporations.
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What cities are hiring for Fraud Risk Management jobs? Cities with the most Fraud Risk Management job openings:
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Fraud Risk Management jobs near you
Infographic showing various Fraud Risk Management job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Temporary. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $111,556 per year, or $53.6 per hour.
Fraud Risk Management Lead

Fraud Risk Management Lead

Flex

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Flex is building the AI-native private bank for business owners.
We're re-architecting the entire financial system for entrepreneurs-from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations-rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners.
Since launching publicly in September 2023, Flex has scaled from zero to nine-figure annualized revenue, with a clear path to profitability by late 2026. We move fast, ship relentlessly, and operate with extreme ownership.
Our customers are affluent business owners ($3-$200M in revenue)-the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a product that is fundamentally better-not incrementally improved.
Flex Fuels Ambition.
The Fraud Risk Management Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the Fraud Risk Management function at Flex to a level that rivals the best in class.
Core Responsibilities
Own end-to-end fraud risk management for Flex's credit card and DDA product portfolio across consumer and small business segments; end-to-end meaning full lifecycle coverage, from pre-acquisition through post-disbursement:
  • Acquisition & onboarding fraud: analyze application fraud patterns by channel and source; assess identity signal quality, document authenticity rates, and synthetic identity indicators at the population level; monitor approval flow for anomalous approval rate shifts that may signal policy exploitation
  • Identity & entity verification performance: maintain analytical visibility into match rates, challenge rates, and step-up conversion across KYC and KYB verification layers in partnership with compliance; identify where the verification stack may be generating friction for good applicants or gaps for bad ones - and surface those findings as inputs to joint policy discussions
  • First-party fraud: monitor behavioral signals associated with intentional default - spend acceleration, balance build without payment intent, cash advance abuse, and bust-out patterns; distinguish first-party risk from credit deterioration analytically
  • Third-party fraud: track unauthorized transaction patterns, account takeover indicators, card-not-present abuse, and compromised credential signals; maintain segment-level views of dispute and chargeback rates by fraud type
  • Synthetic identity fraud: build and maintain detection frameworks for synthetic identities - thin-file manipulation, credit piggybacking, fabricated entity structures - with particular attention to SMB applicants where bureau data is sparse and entity verification is harder
  • DDA-specific fraud vectors: monitor ACH manipulation, payee substitution, unauthorized external transfer attempts, and check fraud patterns within the DDA product; maintain visibility into funds flow anomalies that may indicate account misuse or laundering behavior
  • Authorization & transaction monitoring: analyze real-time and near-real-time authorization patterns for velocity anomalies, geographic inconsistencies, merchant category abuse, and card testing signals
  • Dispute, chargeback & recovery: own the analytical view of dispute resolution patterns; identify chargeback abuse and friendly fraud at the segment and merchant level; track recovery rates by fraud type and loss emergence timing

Build and maintain fraud detection frameworks that surface emerging attack patterns before they scale - distinguishing signal from noise across high-volume transaction and behavioral data
Synthesize data across sources - device, IP, identity, bureau, transaction, and behavioral - to construct a layered fraud risk view; capable of identifying coordinated fraud rings and correlated anomalies that don't surface in single-signal models
Lead periodic fraud risk reviews: design the analytical narrative, own the underlying loss and dispute data, and present findings with clear exposure implications to risk committees and senior leadership
Develop fraud segmentation - by fraud type, acquisition channel, product, obligor type, and attack vector - to enable more precise detection tuning, policy intervention, and loss reserve calibration
Partner cross-functionally with credit, legal & compliance, financial crimes, operations, and product to ensure fraud risk visibility is embedded in product design and upstream decisioning, not bolted on reactively
Contribute to scenario analysis and stress testing for fraud loss: model exposure under elevated attack conditions and translate into concrete loss and operational cost estimates
Serve as the internal SME on fraud analytics - establishing detection standards, taxonomy, and measurement frameworks as the product portfolio scales
Qualifications
    • This role sits in the foundational build path of core risk management disciplines, and we expect significant upward potential for the right candidate. The emphasis is on finding colleagues with a strong foundation more than a 'minimum number of years' constraint. We can work with folks who have 7-15 years of hands-on fraud risk management experience with direct ownership of detection and loss management across consumer and small business products; experience spanning both a bank or regulated card program and a fintech strongly preferred
    • Deep subject matter expertise across all three fraud typologies - first-party, third-party, and synthetic identity - with the ability to distinguish them analytically, not just definitionally; understands how each manifests differently in a credit card versus DDA context
    • Fluent in the fraud signal stack: device fingerprinting, IP intelligence, identity graph analysis, behavioral biometrics, velocity rules, and ML-based anomaly detection - knows which tools to reach for and when rules-based logic outperforms models
    • Understands DDA fraud vectors at a product level: ACH origination and return abuse, check fraud, Reg E dispute dynamics, and the intersection of payment fraud with account takeover
    • Analytically self-sufficient: proficient in SQL and Python or R; capable of building detection logic, cohort analysis, and loss attribution from raw data rather than consuming pre-built dashboards
    • Familiar with the regulatory and compliance overlay on fraud: SAR filing thresholds, Reg E obligations, FCRA considerations for adverse action, and BSA/AML red flags that overlap with fraud patterns

Mindset
  • Operates at a senior thinking level relative to peer cohort - brings a point of view on emerging attack vectors, challenges detection assumptions, and drives the fraud agenda without waiting to be directed
  • Instinctively thinks from the other side of the table: models how a bad actor would exploit a product, policy gap, or verification weakness - and builds detection logic accordingly
  • High quantitative aptitude with strong intuition for when loss or dispute trends don't pass the smell test; catches pattern shifts early and escalates with evidence, not just instinct
  • High-energy, end-to-end owner who thrives in environments where detection infrastructure is still being built and the threat landscape is actively evolving
  • Effective communicator who can translate complex fraud dynamics - ring structures, synthetic identity clusters, bust-out cohorts - into crisp narratives for risk committees, product teams, and senior leadership

$150,000 - $250,000 a year
We believe in the culture of ownership at Flex. All employees are given Equity in the company in addition to the Base Compensation.
Flexbase Technologies Inc.
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About Flex Personnel

Sourced by ZipRecruiter

The Flex Team is made up of Staffing Industry experts committed to serving the needs of businesses and workers by bringing people together. We are guided by our Core values Integrity, Courtesy, and Respect. At Flex we bring Businesses and People together. We carefully assess both the needs of our Business clients and the complete profiles of each candidate, and then make the connections we believe will be most mutually beneficial. With offices in select markets throughout the Country, We are continually expanding our industry reach nationwide.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Dallas, TX, US

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