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Gaming Fraud Risk Analyst Jobs in Gary, IN (NOW HIRING)

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms ... Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ...

Stripe

Risk Strategist, Platform Risk Strategy

Chicago, IL · On-site +1

$125K - $161K/yr

You will also provide expert guidance and analyses to help grow novel business models on Stripe ... credit and fraud risk * Experience in a related role (risk, compliance, legal, consulting)

Arrive Logistics

Risk Manager

Chicago, IL · On-site

Advanced Theft & Fraud Prevention: Lead the implementation and monitoring of cutting-edge practices ... Proactively analyze data to predict and neutralize vulnerabilities before they impact cargo.

Arrive Logistics

Risk Manager

Chicago, IL · On-site +1

$118K - $132K/yr

Advanced Theft & Fraud Prevention: Lead the implementation and monitoring of cutting-edge practices ... Proactively analyze data to predict and neutralize vulnerabilities before they impact cargo.

Stripe

Fraud Strategy Manager

Chicago, IL · On-site

$180 - $240/hr

About the team Fraud Strategy is responsible for building scaled fraud mitigation systems that ... to analyze and make decisions. * Experience in a high-growth technology company managing risk at ...

JPMorgan Chase & Co.

Industry Risk Manager

Chicago, IL · On-site

$108K - $183K/yr

... Gaming, and VASPs). You will identify opportunities to partner with colleagues to develop new ... Ability to soundly execute quantitative and qualitative analysis and draw salient conclusions

JP Morgan Chase

Industry Risk Manager

Chicago, IL · On-site

... Gaming, and VASPs). You will identify opportunities to partner with colleagues to develop new ... Ability to soundly execute quantitative and qualitative analysis and draw salient conclusions

Avant

Manager, Identity Fraud Strategy

Chicago, IL

$125K - $155K/yr

Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Engineering) or equivalent experience. * 7+ years of progressive experience in risk and or fraud analytics

Avant LLC

Manager, Identity Fraud Strategy

Chicago, IL · On-site

$125K - $155K/yr

Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Engineering) or equivalent experience. * 7+ years of progressive experience in risk and or fraud analytics

Stripe

Customer Success Manager, Radar

Chicago, IL · On-site

Ability to navigate data and people to find answers, including interpreting fraud dashboards, dispute analytics, and authorization rate metrics Preferred qualifications * Deep fraud and payments risk ...

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All JobsGaming Fraud Risk Analyst JobsGaming Fraud Risk Analyst Jobs in Gary, IN

Gaming Fraud Risk Analyst information

See Gary, IN salary details

$18

$43

$79

How much do gaming fraud risk analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for gaming fraud risk analyst in Gary, IN is $43.09, according to ZipRecruiter salary data. Most workers in this role earn between $31.35 and $52.88 per hour, depending on experience, location, and employer.

What does a gaming fraud risk analyst do?

A Gaming Fraud Risk Analyst is responsible for identifying, investigating, and preventing fraudulent activities within online or offline gaming platforms. They analyze player behavior, monitor transactions, and use various tools and data analytics to detect suspicious activities such as account takeovers, payment fraud, or cheating. Their role helps gaming companies maintain fair play, protect user accounts, and comply with legal regulations. They also collaborate with other teams to improve fraud prevention strategies and minimize financial losses.

What are the key skills and qualifications needed to thrive as a gaming fraud risk analyst, and why are they important?

To thrive as a Gaming Fraud Risk Analyst, you need strong analytical skills, attention to detail, and a solid understanding of gaming industry regulations, often supported by a degree in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and knowledge of anti-money laundering (AML) systems are typically required. Critical thinking, problem-solving, and effective communication are valuable soft skills for investigating suspicious activity and collaborating with other departments. These skills are essential to accurately identify fraudulent behavior, minimize risks, and protect both the company and its players.

What are some common challenges faced by gaming fraud risk analysts in the gaming industry?

Gaming Fraud Risk Analysts often encounter challenges such as staying ahead of rapidly evolving fraud techniques and distinguishing between legitimate user behavior and suspicious activity. They must analyze large volumes of transactional and behavioral data, which requires attention to detail and proficiency with analytical tools. Collaboration with engineering, customer support, and compliance teams is essential to implement effective anti-fraud measures and respond quickly to emerging threats. Continuous learning and adaptability are key, as fraud methods and gaming technologies frequently change.
What job categories do people searching Gaming Fraud Risk Analyst jobs in Gary, IN look for? The top searched job categories for Gaming Fraud Risk Analyst jobs in Gary, IN are:
Gaming Fraud Risk Analyst jobs near you
Infographic showing various Gaming Fraud Risk Analyst job openings in Gary, IN as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,637 per year, or $43.1 per hour.

Machine Learning Lead

Coinflow

Chicago, IL • On-site

$225K - $275K/yr

Full-time

Medical, Retirement

Re-posted 17 days ago

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.

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