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Fraud Risk Management Jobs in Massachusetts (NOW HIRING)

About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk ...

Risk Data Scientist

Boston, MA · On-site

$112 - $155/hr

About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk ...

Operations Representative

Boston, MA · On-site

$25.42 - $31.06/hr

Large dollar drafts reviewed to mitigating fraud risk, if needed verified with the member. Review ... Prior experience with Fraud Management preferred.Excellent internal service skills with ability to ...

Product Manager - CIAM

Westwood, MA · On-site

$142K - $185K/yr

... in product management, platform delivery, or identity/authentication/fraud domains * Proven ... Experience delivering risk-based or adaptive authentication and integrating fraud/risk signals into ...

Product Manager - CIAM

Westwood, MA · On-site

$142K - $185K/yr

... in product management, platform delivery, or identity/authentication/fraud domains * Proven ... Experience delivering risk-based or adaptive authentication and integrating fraud/risk signals into ...

Product Manager - CIAM

Westwood, MA · On-site

$142K - $185K/yr

... in product management, platform delivery, or identity/authentication/fraud domains * Proven ... Experience delivering risk-based or adaptive authentication and integrating fraud/risk signals into ...

Product Manager - CIAM

Westwood, MA · On-site

$142K - $185K/yr

... in product management, platform delivery, or identity/authentication/fraud domains * Proven ... Experience delivering risk-based or adaptive authentication and integrating fraud/risk signals into ...

Product Manager - CIAM

Westwood, MA · On-site

$142K - $185K/yr

... in product management, platform delivery, or identity/authentication/fraud domains * Proven ... Experience delivering risk-based or adaptive authentication and integrating fraud/risk signals into ...

Fraud Operations Team Lead

Medford, MA · On-site

$69K - $90K/yr

... managing fraud or risk teams. * Hands-on experience with fraud detection systems and AI/ML-driven analytics tools. * Strong understanding of banking products and fraud typologies (card fraud, account ...

Fraud Operations Team Lead

Medford, MA · On-site

$69K - $90K/yr

... managing fraud or risk teams. * Hands-on experience with fraud detection systems and AI/ML-driven analytics tools. * Strong understanding of banking products and fraud typologies (card fraud, account ...

... fraud investigations. In this role, the Senior, Risk Advisory Services will participate in all ... Assists with the management of the engagement to ensure engagement metrics are achieved * Utilizes ...

... fraud investigations. In this role, the Senior, Risk Advisory Services will participate in all ... Assists with the management of the engagement to ensure engagement metrics are achieved * Utilizes ...

... disclosure, misuse, theft, fraud, sabotage, or compromise. Insider Threat Operations ... Collaborate with Human Resources, Legal, Compliance, Privacy, Risk Management, and Business ...

Showing results 21-40

Fraud Risk Management information

See Massachusetts salary details

$56.2K

$121.8K

$185.7K

How much do fraud risk management jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fraud risk management in Massachusetts is $121,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $140,900.00 per year, depending on experience, location, and employer.

What is fraud risk management?

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 are the key skills and qualifications needed for fraud risk management?

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 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.

How to become a fraud risk management analyst?

To become a fraud risk management analyst, candidates typically need a bachelor's degree in finance, accounting, or a related field. Relevant skills include data analysis, knowledge of fraud detection tools, and understanding of financial regulations; certifications like Certified Fraud Examiner (CFE) can enhance prospects. Gaining experience in risk assessment or financial auditing is also beneficial.

Is working in fraud risk management 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 financial systems. It offers opportunities for advancement, certifications like Certified Fraud Examiner (CFE), and typically involves a stable work environment with regular hours. Overall, it can be a rewarding career for those interested in security and financial integrity.

What does a fraud risk management do?

A fraud risk management professional identifies, assesses, and implements strategies to detect and prevent fraudulent activities within an organization. They analyze data, develop controls, and monitor transactions to reduce financial losses and ensure compliance with regulations. Strong analytical skills and knowledge of fraud detection tools are essential in this role.

What are the most commonly searched types of Fraud Risk Management jobs in Massachusetts?

The most popular types of Fraud Risk Management jobs in Massachusetts are:

What are popular job titles related to Fraud Risk Management jobs in Massachusetts?

For Fraud Risk Management jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Fraud Risk Management jobs in Massachusetts look for?

The top searched job categories for Fraud Risk Management jobs in Massachusetts are:

What cities in Massachusetts are hiring for Fraud Risk Management jobs?

Cities in Massachusetts with the most Fraud Risk Management job openings:

Infographic showing various Fraud Risk Management job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,833 per year, or $58.6 per hour.

Risk Data Scientist

Flexcar

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Key responsibilities

  • Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions.

  • Manage the modeling environment and maintain the platform where risk models and decision workflows are hosted.

  • Monitor the performance of deployed risk frameworks, identify drift or anomalies, and provide recommendations for improvement.


Job description

Job Title: Risk Data Scientist
Location: Downtown Boston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations
Employment Type: Exempt Full Time 
Compensation: $112,000 - $155,000 + Full Benefit Package Day One
At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. We’ve created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience. 
 About the RoleFlexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We’re looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You’ll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure.
The models you build matter, and you’ll see their results in real performance data. Flexcar’s unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you.What You’ll DoRisk Modeling & Model Development with AI
  • Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools
  • Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science
  • Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models
  • Lead feature selection, target variable development, and model validation
  • Collaborate with stakeholders to set risk thresholds that balance growth with loss targets
Model Platform & Vendor Integration
  • Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live
  • Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs
  • Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength
Monitoring & Analysis
  • Monitor the performance of deployed risk frameworks against key metrics
  • Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations
  • Contribute to ad hoc analysis supporting risk strategy decisions
What We’re Looking For
Required
  • Bachelor’s degree in Economics, Mathematics, Business or a related discipline preferred
  • 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output
  • Comfortable leaning in to AI-first solutions, with experience using the latest AI tools to drive results at a high velocity
  • Strong Python and SQL skills; comfortable working with messy, real-world data
  • Hands-on experience building and deploying predictive models in a production environment
  • Ability to work independently and own outcomes, not just tasks
Nice to Have
  • Experience with AI data science platforms and orchestration platforms
  • Experience with behavioral or telematics-based risk signals is a strong plus.
  • Familiarity with third-party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.)
  • Experience in a startup or high-growth environment where the work is broad and the tooling is still evolving

What Tops Off the Tank
  • Rest & Relaxation: Flexible PTO policy.
  • Future Savings: Benefit from a 401(k) plan with company match from day one.
  • Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one.
  • Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee.
  • Weekly Pay
  • And other amazing perks!

Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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