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Fraud Risk Management Jobs in Utah (NOW HIRING)

... product management, particularly driving complex fraud, credit, and compliance initiatives in ... launching Risk controls across the lifecycle onboarding, monitoring, identity, and profile ...

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Fraud Risk Management information

See Utah salary details

$46.9K

$101.6K

$154.8K

How much do fraud risk management jobs pay per year?

As of Jun 18, 2026, the average yearly pay for fraud risk management in Utah is $101,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $117,400.00 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.
What are the most commonly searched types of Fraud Risk Management jobs in Utah? The most popular types of Fraud Risk Management jobs in Utah are:
What are popular job titles related to Fraud Risk Management jobs in Utah? For Fraud Risk Management jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Fraud Risk Management jobs in Utah look for? The top searched job categories for Fraud Risk Management jobs in Utah are:

Senior Data Analyst - Fraud Strategy & Operations

Raisin

Lehi, UT โ€ข Hybrid

$80K - $101K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Team

The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your Responsibilities
As the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.ย 
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.

  • Advanced Fraud Strategy & Analytics
    - Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance
    - Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration
    - Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile

  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.