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Senior Fraud Risk Analyst Jobs (NOW HIRING)

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Senior Data Scientist Function: Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior ... a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Senior Data Scientist Function: Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior ... a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and ...

US Bank

Fraud Risk Analyst

Fargo, ND · On-site

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... to senior leaders and executive stakeholders. * Ability to influence cross-functional partners ...

Multicoin

Senior Fraud and Risk Engineer

Manhattan, NY · On-site

Senior Fraud & Risk Engineer Are you passionate about solving complex challenges in the fintech ... From rules architecture to model tuning and chargeback analysis, you'll be responsible for driving ...

U.S. Bank

Fraud Risk Analyst

Minneapolis, MN · On-site

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... to senior leaders and executive stakeholders. * Ability to influence cross-functional partners ...

US Bank

Fraud Risk Analyst

Minneapolis, MN · On-site

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... to senior leaders and executive stakeholders. * Ability to influence cross-functional partners ...

US Bank

Fraud Risk Analyst

Tempe, AZ · On-site

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... to senior leaders and executive stakeholders. * Ability to influence cross-functional partners ...

US Bank

Fraud Risk Analyst

Irving, TX · On-site

In this role, you will analyze complex data, identify emerging fraud trends, and develop strategies ... to senior leaders and executive stakeholders. * Ability to influence cross-functional partners ...

Lehighbar

Ascensus is seeking a Senior Fraud Strategy Analyst to join our Fraud Risk Management team. This role will be responsible for helping design, execute, and continuously improve fraud detection ...

ISHE

Ascensus is seeking a Senior Fraud Strategy Analyst to join our Fraud Risk Management team. This role will be responsible for helping design, execute, and continuously improve fraud detection ...

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Senior Fraud Risk Analyst information

See salary details

$53.5K

$109.8K

$142.5K

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

As of Sep 13, 2026, the average yearly pay for senior fraud risk analyst in the United States is $109,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a senior fraud risk analyst do?

A Senior Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze data, investigate suspicious transactions, and develop strategies to prevent fraud. These professionals also collaborate with other departments, implement fraud detection systems, and ensure compliance with regulations. Their expertise helps protect the organization from financial losses and reputational damage.

How does a senior fraud risk analyst typically collaborate with other departments to identify and mitigate fraud risks?

Senior Fraud Risk Analysts often work closely with teams across the organization, such as compliance, IT, customer service, and legal departments. They collaborate to analyze transaction data, investigate suspicious patterns, and implement new fraud prevention strategies. Regular cross-functional meetings and sharing of insights are crucial to ensure that fraud risks are identified early and addressed effectively. This collaborative approach helps create a comprehensive defense against evolving fraud threats and supports a proactive risk management culture.

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

To thrive as a Senior Fraud Risk Analyst, you need expertise in fraud detection, risk assessment, data analysis, and a bachelor's degree in finance, business, or a related field. Familiarity with anti-fraud software, data analytics tools like SQL or Python, and relevant certifications such as CFE (Certified Fraud Examiner) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts spot patterns and present findings clearly. These skills are vital for identifying and mitigating fraud risks, protecting organizational assets, and ensuring compliance with regulations.

What is the difference between Senior Fraud Risk Analyst vs Fraud Investigator?

AspectSenior Fraud Risk AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or CPA often preferredBachelor's degree, CFE certification common
Work EnvironmentAnalytical, data-driven, risk assessment teamsInvestigative, interview-focused, field or office-based
Employer & IndustryFinancial institutions, insurance, e-commerceFinancial services, law enforcement, corporate security

While both roles focus on fraud prevention, the Senior Fraud Risk Analyst primarily assesses risks and develops strategies, whereas the Fraud Investigator conducts investigations into specific fraud cases. The analyst role is more analytical and strategic, while the investigator is more hands-on and investigative.

More about Senior Fraud Risk Analyst jobs

What cities are hiring for Senior Fraud Risk Analyst jobs?

Cities with the most Senior Fraud Risk Analyst job openings:

What states have the most Senior Fraud Risk Analyst jobs?

States with the most job openings for Senior Fraud Risk Analyst jobs include:

What are popular job titles related to Senior Fraud Risk Analyst jobs?

For Senior Fraud Risk Analyst jobs, the most frequently searched job titles are:

Senior Fraud Risk Analyst jobs near you
Infographic showing various Senior Fraud Risk Analyst job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $109,846 per year, or $52.8 per hour.

Senior Fraud Risk Analyst

Dallas, TX • On-site

Braviant Holdings
Finance and Insurance • 51 - 200 employees
Learn more about Braviant Holdingsexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Title: Senior Data Scientist
Function: Credit Risk
Reports to: Head of Credit
Level: Mid-Level / Senior
Location: Addison, TX (5 days/week in-office)

Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.

Who We Are

Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime - helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work.

We are a lean team of approximately 40 people who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves - including this role.

About the Role
We are building and scaling a high-performance consumer lending platform and are looking for a Fraud Risk Analyst to help protect the business from identity fraud, first-party fraud, and credit abuse. This role sits at the intersection of fraud, credit, and analytics, and will directly impact early loss performance and portfolio quality. You will be responsible for identifying fraud patterns, building detection strategies, and implementing controls that prevent bad actors from entering the portfolio. This is a hands-on, high-impact role suited for someone who is analytical, detail-oriented, and biased toward action, not just case review. You will work closely with Credit, Product, Operations and Engineering to ensure fraud risk is properly identified and separated from credit risk in decisioning.
What You'll Be Doing
  • Analyze application and early performance data to identify fraud patterns, including synthetic identity, first-party fraud, and credit abuse.
  • Develop and implement fraud detection strategies, including rules, thresholds, and decisioning logic.
  • Monitor early performance (e.g., FPD, zero-pay accounts) to identify potential fraud-driven losses.
  • Distinguish fraud risk vs credit risk, improving approval quality and reducing early loss.
  • Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data).
  • Design and execute tests to evaluate fraud strategies and improve detection performance.
  • Work with Product and Engineering to implement fraud rules and ensure accurate execution in production systems.
  • Investigate emerging fraud trends and proactively recommend changes to controls and policies.
  • Collaborate with Operations or servicing teams to improve fraud identification post-origination.
  • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.
What You Will Bring

Required

  • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
  • 4-6 years of experience in fraud, risk, or analytics, preferably in fintech, lending, or financial services
  • Strong analytical skills with experience using SQL, Python, Excel, or similar tools to analyze large datasets
  • Understanding of key fraud types, including synthetic identity and first-party fraud and familiarity with fraud tools (i.e. identity verification, device fingerprinting, consortium data)
  • Experience identifying fraud patterns or working with fraud detection strategies (i.e. credit washing etc.)
  • Ability to translate analysis into clear actions (rules, controls, strategy changes) and exposure to A/B testing, experimentation frameworks, or champion/challenger strategies
  • Passion for keeping your skills up to date and exploring new methodologies
  • The ability to distill complex problems and analysis into a clear and concise narrative

Preferred

  • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment.
  • Hands-on experience applying AI to fraud management
Benefits & Perks

Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide:

  • Comprehensive healthcare including medical, dental, and vision coverage
  • Generous paid time off, including PTO, sick time, and 13 company holidays
  • 401(k) with company contribution
  • Participation in annual discretionary bonus plan
  • Regular team and company gatherings
Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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