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Fraud Chargeback Manager Jobs (NOW HIRING)

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity ... Experience developing, managing, and scaling MLOps pipelines and monitoring systems (retraining ...

Arena Club

Fraud Analyst

Los Angeles, CA · On-site

About the Role We're seeking a Fraud Analyst to serve as the founding member of our risk team. In ... Manage the Revenue Lifecycle: Oversee the end-to-end chargeback dispute process, optimizing ...

Arena Club

Fraud Analyst

Los Angeles, CA · On-site

$60K - $80K/yr

About the Role We're seeking a Fraud Analyst to serve as the founding member of our risk team. In ... Manage the Revenue Lifecycle: Oversee the end-to-end chargeback dispute process, optimizing ...

Arena Club

Fraud Analyst

Los Angeles, CA · On-site

$60K - $80K/yr

About the Role We're seeking a Fraud Analyst to serve as the founding member of our risk team. In ... Manage the Revenue Lifecycle: Oversee the end-to-end chargeback dispute process, optimizing ...

Breeze

Senior Fraud and Risk Engineer

New York, NY · On-site +1

Deep operational fraud expertise, including manual review workflows, chargeback management, false-positive analysis, and translating operational insights into effective technical solutions * Ability ...

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

... chargebacks, and customer experience. * Build dashboards, reporting solutions, and visualizations ... Independently manage analytics initiatives in a client-facing and cross-functional environment.

Discord

Payments & Fraud Analyst

San Francisco, CA

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

PenFed Credit Union

Card Dispute Specialist

Omaha, NE · Hybrid

$18.56 - $28.92/hr

... management. * Minimum of two (2) years of direct work experience in a large card disputes or fraud chargeback operations department. * Effective verbal, written, and interpersonal communication ...

Triwill Group

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

Triwill Group

Payments & Fraud Analyst

San Francisco, CA · On-site

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

Open Scientific

Fraud Analyst

Holbrook, NY

$12 - $14/hr

... chargebacks initiated from fraudulent transactions. Responsibilities include: * Daily review of suspect orders using Chase Paymentech's Safetech fraud management tool. * Analyze suspect orders for ...

Discord

Payments & Fraud Analyst

San Francisco, CA · On-site

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

Candidate

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

Jackalope Digital LLC

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

Candidate

Payments & Fraud Analyst

San Francisco, CA · On-site

$144K - $162K/yr

... chargeback strategy and card network fee mitigation, and partnering with Product, Revenue, and ... Program manage cross-functional initiatives with Engineering, Legal, Payments Strategy, Product ...

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Fraud Chargeback Manager information

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$31K

$58.7K

$109K

How much do fraud chargeback manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for fraud chargeback manager in the United States is $58,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $65,500.00 per year, depending on experience, location, and employer.

What does a fraud chargeback manager do?

A Fraud Chargeback Manager oversees the process of handling fraudulent chargebacks, which are disputes raised by customers regarding unauthorized or fraudulent transactions. They are responsible for investigating claims, gathering evidence, and representing the business in the dispute process with banks and credit card companies. Their main goal is to minimize financial losses from chargebacks while ensuring compliance with industry regulations and maintaining customer trust. This role often involves collaborating with fraud analysts, customer service teams, and payment processors to improve fraud prevention strategies.

What are the key skills and qualifications needed to thrive as a fraud chargeback manager?

To thrive as a Fraud Chargeback Manager, you need expertise in chargeback processes, payment industry regulations, and fraud prevention strategies, usually supported by experience in banking or financial services. Familiarity with chargeback management platforms, data analysis tools, and relevant certifications like Certified Fraud Examiner (CFE) is often required. Strong analytical thinking, attention to detail, and effective communication skills help you resolve disputes and lead teams efficiently. These skills and qualities are vital for minimizing financial losses, ensuring regulatory compliance, and maintaining strong customer trust.

How does a fraud chargeback manager typically collaborate with other departments to resolve disputed transactions?

A Fraud Chargeback Manager often works closely with teams such as customer service, compliance, risk management, and IT to investigate and resolve disputed transactions. They coordinate with customer service representatives to gather client statements, consult with compliance teams on regulatory requirements, and leverage IT support for data analysis or evidence collection. This cross-departmental collaboration ensures a thorough review of each case and helps the organization maintain strong fraud prevention protocols while providing excellent customer service.

What is the difference between Fraud Chargeback Manager vs Fraud Analyst?

AspectFraud Chargeback ManagerFraud Analyst
Primary RoleOversees chargeback processes related to fraud disputes and manages fraud-related chargebacks.Analyzes fraud patterns, investigates suspicious activity, and develops fraud prevention strategies.
CredentialsExperience in fraud management, knowledge of chargeback procedures, certifications like CFE or CFSA often preferred.Strong analytical skills, knowledge of fraud detection tools, certifications like CFE or ACFE beneficial.
Work EnvironmentTypically in financial institutions, e-commerce companies, or payment processors.Often in financial services, e-commerce, or cybersecurity firms.

The Fraud Chargeback Manager focuses on managing and resolving fraud-related chargebacks, ensuring compliance and minimizing losses. In contrast, the Fraud Analyst primarily investigates fraud incidents, analyzes data, and develops prevention strategies. Both roles require fraud-related certifications and work in similar environments, but their core responsibilities differ in scope and focus.

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Fraud Chargeback Manager jobs near you
Infographic showing various Fraud Chargeback Manager job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $58,722 per year, or $28.2 per hour.

Machine Learning Lead

Chicago, IL • On-site

Coinflow
See more jobs at Coinflowexternal

$225K - $275K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago

Key responsibilities

  • Own the fraud and risk intelligence layer by developing, deploying, and maintaining fraud detection models.

  • Experiment, evaluate, monitor, and iterate on machine learning models to improve fraud detection metrics.

  • Collaborate with engineering, product, and operations teams to embed fraud intelligence into payment flows and internal tools.

Job description

About Coinflow
Coinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide.
Since our seed round in 2024, we've achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a $25M Series A in October 2025-led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures-accelerating our mission to power the world's fastest-moving businesses with innovative, reliable global payments.
Coinflow is proudly headquartered in Chicago, IL. Learn more at coinflow.cash.
Role Overview:
Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the core of our platform.
This is a founding ML role. You'll lead our first dedicated ML team, building capabilities that combine our first-party transaction data with partner signals to optimize approval rates across payment methods and geographies, sharpen risk decisioning during merchant underwriting, and improve fraud detection across global payment methods. That means digging into large-scale transaction and behavioral data, shipping production fraud models, defining what good looks like, and continuously raising the bar on detection and precision as our volume and merchant base scale.
The ideal candidate has hands-on experience building fraud models on the acquiring side of payments and working alongside external fraud vendors to tackle card-present or card-not-present fraud, authorization decisioning, chargeback reduction, and related risk systems.
Key Responsibilities
  • Strengthen Coinflow's fraud detection and risk decisioning capabilities - feature engineering, model development, and production deployment
  • Own the full model lifecycle: experimentation, evaluation, monitoring, and iteration
  • Define and track core fraud and risk metrics - detection rate, false positive rate, chargeback rate, dispute win rate - and continuously improve them
  • Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns
  • Partner with Engineering, Product, and Operations to embed fraud intelligence directly into payment flows and internal tooling
  • Integrate and orchestrate external fraud/risk partners, getting maximum value from their tooling
  • Establish the foundation for ML and data practices across the company
  • Help shape Coinflow's long-term fraud, risk, and ML roadmap
Required Qualifications
  • 5+ years in machine learning, applied data science, or production ML roles
  • Demonstrated experience building fraud models in payments, with direct exposure to the acquiring side - acquirer, PSP, or payment facilitator
  • Proven track record taking ML projects from proof-of-concept to fully deployed, productionized systems
  • Deep familiarity with acquiring-side fraud dynamics: authorization fraud, card-not-present fraud, friendly fraud, chargeback patterns, and merchant risk
  • Strong foundation in ML, statistics, and feature engineering on high-volume financial data
  • Comfortable owning ambiguous problems end-to-end and creating structure where none exists
  • Strong collaborator across Engineering, Product, and Ops
Preferred Qualifications
  • Experience at an acquirer, ISO, PayFac, or payments infrastructure company
  • Experience developing, managing, and scaling MLOps pipelines and monitoring systems (retraining schedules, real-time performance metrics)
  • Experience scoping cloud compute requirements for scalable ML workloads
  • Familiarity with card network rules, dispute/chargeback workflows, and fraud liability frameworks
  • Experience as an early or sole ML hire at a startup
  • Exposure to real-time or near-real-time fraud scoring systems
  • Experience with stablecoin, crypto, or alternative payment rails

What We Offer:
  • Competitive compensation including base salary, performance bonus, and meaningful ownership
  • Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company
  • Collaborative and innovative work environment with world-class investors
  • Direct impact on core risk infrastructure and company trajectory during a hyper growth phase

The base salary range for this role is $225,000 - $275,000 USD. The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications and business needs.
In addition, the employee who fills this role will be eligible for an equity grant, allowing you to share in the long-term success of the company. You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off.
Join the team rewriting how money moves worldwide-and become a driving force in the $194 trillion cross-border payments market.

Apply