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Credit Risk Fraud Analyst Jobs in Boston, MA (NOW HIRING)

Citizens

Fraud Risk Analytics Manager

Boston, MA · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Citizens

Fraud Risk Analytics Manager

Boston, MA · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Citizens

Fraud Risk Analytics Manager

Boston, MA · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

Citizens

Fraud Risk Analytics Manager

Boston, MA · Hybrid

$106K - $130K/yr

Experience with fraud strategy optimization , challenger testing, or decision policy design * Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks

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Showing results 21-40

All JobsCredit Risk Fraud Analyst JobsCredit Risk Fraud Analyst Jobs in Boston, MA

Credit Risk Fraud Analyst information

See Boston, MA salary details

$40.2K

$123.7K

$214.6K

How much do credit risk fraud analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for credit risk fraud analyst in Boston, MA is $123,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $152,600.00 per year, depending on experience, location, and employer.

How does a credit risk fraud analyst typically collaborate with other departments to minimize fraud losses?

Credit Risk Fraud Analysts work closely with teams such as IT, compliance, customer service, and operations to identify, investigate, and mitigate fraudulent activities. They regularly communicate findings from data analysis to these departments, ensuring that suspicious patterns are addressed promptly. Collaboration often includes participating in cross-functional meetings, sharing insights on emerging fraud trends, and helping to develop new prevention strategies. This teamwork is essential for creating a holistic approach to managing risk and protecting both the organization and its customers.

What are the key skills and qualifications needed to thrive as a credit risk fraud analyst?

To thrive as a Credit Risk Fraud Analyst, you need strong analytical skills, a background in finance or statistics, and a solid understanding of risk management principles. Familiarity with fraud detection software, data analysis tools like SQL or Python, and relevant certifications such as Certified Fraud Examiner (CFE) are typically required. Strong attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills are crucial for accurately identifying fraudulent activities, minimizing losses, and maintaining the integrity of financial institutions.

What is the difference between Credit Risk Fraud Analyst vs Credit Analyst?

AspectCredit Risk Fraud AnalystCredit Analyst
Primary FocusDetecting and preventing fraud related to credit riskAssessing creditworthiness of borrowers
Skills & CertificationsFraud detection, risk assessment, certifications like CFECredit analysis, financial statement evaluation, certifications like CFA or CCFA
Work EnvironmentFinancial institutions, fraud prevention teamsBanks, lending companies, credit departments
Industry UsageHigh in fraud prevention and risk managementHigh in lending and credit approval processes

While both roles involve credit assessment, the Credit Risk Fraud Analyst specializes in identifying and preventing fraudulent activities related to credit, whereas the Credit Analyst focuses on evaluating a borrower's creditworthiness to approve loans. Understanding these differences helps in choosing the right career path or job search focus.

What does a credit risk fraud analyst do?

A Credit Risk Fraud Analyst is responsible for identifying, assessing, and mitigating risks related to credit fraud within financial institutions. They analyze transaction patterns, customer profiles, and credit data to detect suspicious activities or potential fraud. Their work involves using analytical tools and data models to monitor accounts, investigate anomalies, and recommend controls to prevent losses. By staying updated on emerging fraud trends, they help protect the company and its customers from financial crimes.
What are popular job titles related to Credit Risk Fraud Analyst jobs in Boston, MA? For Credit Risk Fraud Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Credit Risk Fraud Analyst jobs in Boston, MA look for? The top searched job categories for Credit Risk Fraud Analyst jobs in Boston, MA are:
Credit Risk Fraud Analyst jobs near you

Senior/Lead Risk Analyst, Payment fraud (Relocation to Toronto Required)

Snaplii

Boston, MA • On-site

$150K - $250K/yr

Full-time

Re-posted 9 days ago

Job description

Lead Risk Analyst, Payment fraud
At Snaplii, risk management isn't a "brake" on growth-it's the "supercharger" that enables our 300% explosive expansion. We aren't looking for analysts who just read reports; we want strategists who can reverse-engineer fraud loops and command AI to automatically sever risks.
Important: Location & Relocation
This role is based in our Toronto, Canada office. To foster our high-velocity founding culture, we require this leader to be onsite in Toronto for at least the first 6-12 months. We provide full relocation assistance and comprehensive immigration sponsorship for qualified US-based candidates.
About Snaplii
Snaplii is one of Canada's fastest-growing fintech platforms, with $100M+ in annual transaction volume and 350,000+ users across North America, Snaplii connects consumers with 500+ leading brands across everyday categories - enabling smarter spending with instant savings and rewards.
Today, Snaplii is evolving beyond a digital wallet into infrastructure for AI-native commerce - enabling secure, programmable transactions between users, brands, and AI agents.
AI drives demand. Snaplii executes the transaction.
About the Role
We are looking for a Risk Leader with deep fraud expertise and raw analytical horsepower. This role will shape and implement cutting-edge risk strategies that drive sustainable growth, minimize losses, and enhance the customer experience. The ideal candidate has direct experience in payment fraud detection and prevention, with the ability to spot fraudulent transactions and translate fraud patterns into scalable, data-driven solutions. This role requires a balance of hands-on fraud investigation, SQL-driven analytics, and collaboration with product and engineering teams to design and implement automated fraud controls.
Key Responsibilities
  • Lead the end-to-end development and execution of financial risk strategies-from opportunity identification to design, testing, launch, and post-production performance monitoring.
  • Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns.
  • Analyze internal and external data and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks.
  • Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control.
  • Act as a liaison between the company and payment processors/vendors, with strong communication skills to speak the industry language, manage vendor relationships, and ensure effective alignment on fraud and risk management.

Qualifications
  • The ideal candidate is an accountable and resilient team-player who brings a combination of business instincts, technical skills and raw analytical horsepower necessary to support the rapid growth of Snaplli's business.
  • Minimum 5 years of professional work experience; Minimum 3 years in a fraud-related role; Minimum 1 year in the payments industry.
  • Experience working with various payment methods in multi-currency environments, ideally within e-commerce or related industries.
  • Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis.
  • Strong data modeling skills (3+ years): hands-on experience building fraud detection models, user behaviour scoring systems, and transaction anomaly detection models, including feature engineering, model training, evaluation, and deployment.
  • Ability to integrate models with risk systems to enable automated, model-driven fraud prevention workflows.
  • Proficiency with machine learning frameworks (Python or R with Sklearn, XGBoost, LightGBM, etc.) and prior experience deploying models into production environments.
  • SQL proficiency (must-have) - able to independently query and analyze large datasets. Python (good-to-have).
  • Previous experience as a Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. Bachelor's degree in Engineering, Computer Science, Statistics, Finance, or a related analytical/technical field.
  • Strong problem-solving skills and reverse-engineering thinking, with the ability to anticipate and predict potential risks from a fraudster's perspective.
  • Proficiency in Mandarin Chinese is an asset but not required.
Why Join Us
  • Building AI-Native Payments
    • Powering how AI agents transact in the real world.
  • Explosive Growth
    • 300%+ revenue & TPV growth in 2025, with accelerating momentum into 2026.
  • Small Team, Massive Scale
    • <40 people. A lean & high-performance team where every decision moves revenue, risk, and user experience.
  • AI-First Engineering Culture
    • 90%+ of code is AI-assisted. Engineers focus on architecture and complex problems
  • Direct Access to the AI Frontier
    • Connect with leading AI companies in Silicon Valley, gaining first-hand exposure to cutting-edge advancements.

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