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Fraud Risk Management Jobs in Virginia (NOW HIRING)

Freddie Mac

Fraud Senior - REMOTE

Mclean, VA · On-site +1

$90K - $134K/yr

The Single-Family Acquisitions Team is responsible for managing compliance and operational risk for the division. Your Impact: In this role, you contribute your knowledge of mortgage fraud schemes to ...

Freddie Mac

Fraud Senior - REMOTE

Arlington, VA · On-site +1

$90K - $134K/yr

The Single-Family Acquisitions Team is responsible for managing compliance and operational risk for the division. Your Impact: In this role, you contribute your knowledge of mortgage fraud schemes to ...

FVCbankCorp, Inc.

Fraud Analyst (Manassas)

Manassas, VA · On-site

$60 - $80/hr

Risk Management: Assess, track, and ***escalate*** high‑risk activity promptly. Lead in‑depth ... Certified Fraud Examiner (CFE) and/or Certified Anti‑Money Laundering Specialist (CAMS ...

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Fraud Risk Management information

See Virginia salary details

$51.1K

$110.6K

$168.5K

How much do fraud risk management jobs pay per year?

As of Sep 9, 2026, the average yearly pay for fraud risk management in Virginia is $110,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $127,900.00 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 Virginia?

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

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

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

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

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

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

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

Fraud Risk Management jobs near you
Infographic showing various Fraud Risk Management job openings in Virginia as of September 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,599 per year, or $53.2 per hour.

Sr. Principal Engineer / Architect (Fraud Prevention Technology)

Chantilly, VA • On-site

Interon IT Solutions
See more jobs at Interon IT Solutionsexternal

Contractor

Posted 8 days ago

Job description

#W2 Role Sr. Principal Engineer / Architect (Fraud Prevention Technology) Location: (PA / NC / TX / AZ) — Hybrid required Work Authorization: U.S. Citizen or Green Card Holder Role Overview The ideal candidate brings deep industry experience in banking, payments, or financial services, with strong architectural leadership and comfort operating hands‑on while influencing senior stakeholders. Key Responsibilities
  • Define the technical vision and multi‑year roadmap for fraud prevention across new and existing product lines.
  • Architect real‑time detection, decisioning, and response systems capable of scaling to Vanguard’s transaction volumes.
  • Drive adoption of AI/ML‑enabled development practices and embed intelligent automation into fraud operations.
  • Serve as the technical authority on fraud risk for new product launches (payments, debit, etc.).
  • Lead by example: write production code, conduct design reviews, and establish engineering standards.
  • Partner with product, risk, compliance, and data science teams to translate fraud strategy into executable architecture.
  • Mentor engineers and elevate team capabilities without formal management responsibility.
Qualifications
  • 12+ years in software engineering, including 5+ years in fraud prevention, payments, or banking technology.
  • Deep expertise in payment networks, transaction monitoring, authorization systems, or identity verification.
  • Proven experience architecting distributed, low‑latency systems in regulated financial environments.
  • Strong fluency in applied AI/ML, including model integration, LLM‑augmented tooling, and intelligent automation.
  • Demonstrated ability to define and execute technical strategy at the staff/principal/architect level.
  • Comfortable operating as a hands‑on engineer while influencing senior management.
  • Knowledge of industry standards and regulations: PCI‑DSS, BSA/AML, Reg E, network rules.
Preferred Experience
  • Background at a large asset manager, bank, or fintech expanding into new payment products.
  • Familiarity with real‑time streaming architectures (Kafka, Flink) and decisioning engines.
  • Experience in adversarial modeling or fraud ring detection.
  • AWS‑based environments; comfort across mainstream technologies (language‑agnostic).
Strategic Context:
  • Preparing technology and processes for debit‑related fraud challenges
  • Scaling fraud capabilities to meet rising business demand
  • Designing the future‑state fraud platform and long‑term strategy
  • Collaborating across fraud, product, and business teams to ensure readiness for new offerings