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Software Engineer Fraud Detection Jobs in Chesterfield, VA

Fraud Analyst

Petersburg, VA ยท Hybrid

$65K - $75K/yr

... social engineering, and other financial crimes. * Gather, analyze, and document evidence from ... Knowledge of fraud detection tools, case management systems, and monitoring platforms. * Strong ...

... team as a Lead / Software Engineer, responsible for developing web applications and backend ... Forensics & Fraud services and human capital management. Founded in 2004, the company is ...

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Showing results 1-20

Software Engineer Fraud Detection information

See Chesterfield, VA salary details

$22.8K

$99.7K

$179.7K

How much do software engineer fraud detection jobs pay per year?

As of Sep 1, 2026, the average yearly pay for software engineer fraud detection in Chesterfield, VA is $99,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $114,100.00 per year, depending on experience, location, and employer.

What does a software engineer fraud detection do?

A Software Engineer in Fraud Detection designs and develops systems to identify and prevent fraudulent activities within digital platforms, such as banking or e-commerce environments. They build algorithms to analyze user behavior, detect anomalies, and flag suspicious transactions in real time. Their work often involves machine learning, big data analysis, and close collaboration with data scientists and security teams to continuously improve fraud detection accuracy. These engineers play a key role in protecting businesses and customers from financial loss and cybercrime.

How does a software engineer fraud detection typically collaborate with data scientists and analysts to identify fraudulent activity?

Software Engineers in Fraud Detection work closely with data scientists and analysts to build, refine, and deploy systems that detect and prevent fraud. While data scientists may develop models and identify patterns from large datasets, engineers are responsible for integrating these models into scalable, real-time systems within the company's technology stack. Regular communication and joint problem-solving are essential, as engineers must understand the logic behind models and analysts' findings to ensure accurate implementation and continuous improvement. This collaborative environment helps create robust fraud detection mechanisms that adapt to evolving threats.

What are the key skills and qualifications needed to thrive as a software engineer fraud detection, and why are they important?

To thrive as a Software Engineer in Fraud Detection, strong programming skills (such as Python, Java, or Scala), a solid understanding of algorithms, data structures, and experience with machine learning or statistical analysis are generally required, often supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), real-time analytics systems, and fraud detection tools or frameworks is typically expected. Analytical thinking, problem-solving abilities, and effective communication are key soft skills that differentiate top performers in this field. These skills are crucial for developing robust systems that can quickly identify and prevent fraudulent activities, protecting both users and organizations.

What is the difference between Software Engineer Fraud Detection vs Data Scientist Fraud Detection?

AspectSoftware Engineer Fraud DetectionData Scientist Fraud Detection
Required CredentialsBachelor's in CS or related field, programming skillsBachelor's or higher in CS, Statistics, or Data Science
Work EnvironmentDevelops fraud detection systems, writes code, implements algorithmsAnalyzes data, builds models, interprets results
Employer & Industry UsageFinancial institutions, fintech, e-commerceFinancial services, tech companies, insurance
Common Search & ComparisonFocuses on software development for fraud detectionFocuses on data analysis and modeling for fraud detection

While both roles work in fraud detection, Software Engineer Fraud Detection primarily develops and maintains detection systems through coding, whereas Data Scientist Fraud Detection analyzes data and builds models to identify fraudulent activity. Both roles often collaborate but differ in their core focus and skill sets.

What cities near Chesterfield, VA are hiring for Software Engineer Fraud Detection jobs?

Cities near Chesterfield, VA with the most Software Engineer Fraud Detection job openings:

Infographic showing various Software Engineer Fraud Detection job openings in Chesterfield, VA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $99,695 per year, or $47.9 per hour.

Fraud Analyst

Petersburg, VA โ€ข Hybrid

Advisor Group
Finance and Insuranceย โ€ขย 1 - 5K employees

$65K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Job description

Osaic Careers

Anit-Money Laundering Opportunity in Financial Services

Fraud Analyst

Location(s):

Atlanta: 2300 Windy Ridge Pkwy SE, Suite750, Atlanta, GA 30339

La Vista:12325 Port Grace Blvd, La Vista, NE 68128

Oakdale: 7755 3rd St. N, Oakdale, MN 55128

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255

St. Petersburg: 877 Executive Center Dr. W, Suite 300, St. Petersburg, FL 33702

Osaic is not considering remote candidates at this time.

Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants should be located at one of our hubs listed above and must be willing to work this schedule.

Role Type: Full-time

Salary: $65,000 - $75,000 per year + annual bonus

Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education.

Our competitive compensation is just one component of Osaic's total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more. To view more details of what you can look forward to, visit our careers page:https://careers.osaic.com/Creative/Benefits.

Summary:

We are seeking a highly motivated and detail-oriented Fraud Analyst to join our AML Fraud team. This individual will be responsible for investigating and documenting potentially fraudulent activity impacting client accounts and the Firm. The ideal candidate will possess strong analytical and critical thinking skills, excellent written and verbal communication abilities, and experience conducting complex financial crime investigations. The Fraud Analyst will collaborate with business partners across the organization, advisors, supervisors, clearing firms, and external parties as necessary to conduct thorough investigations, mitigate losses, and protect clients and the Firm from fraud-related risks.

Education Requirements:

  • Bachelor's Degree Preferred, H.S. Diploma or GED certificate + Significant Practical Experience will be considered

Responsibilities:

  • Investigate potentially fraudulent activity identified through internal monitoring systems, alerts, referrals, or escalations from business units.
  • Conduct comprehensive investigations involving account takeovers, identity theft, elder exploitation, check fraud, ACH and wire fraud, unauthorized trading, social engineering, and other financial crimes.
  • Gather, analyze, and document evidence from internal and external sources to determine the nature and extent of suspicious or fraudulent activity.
  • Prepare clear, accurate, and detailed case documentation, investigation summaries, and referrals in accordance with Firm procedures.
  • Work closely with Financial Advisors, supervisors, operations teams, cybersecurity teams, clearing firms, and clients to obtain information and resolve investigations.
  • Identify emerging fraud trends, typologies, and control weaknesses and escalate concerns appropriately.
  • Recommend actions to mitigate client impact, reduce Firm risk exposure, and prevent future fraud events.
  • Support regulatory, legal, and internal inquiries related to fraud investigations.
  • Maintain a high degree of confidentiality while handling sensitive client and Firm information.
  • Ensure investigations are completed within established service level agreements and regulatory requirements.
  • Stay current on fraud schemes, industry trends, and applicable regulatory requirements.
  • Participate in fraud prevention initiatives, process improvements, and special projects.
  • Perform other duties as assigned.

Basic Requirements:

  • 5+ years of experience in financial services, fraud investigations, risk management, compliance, AML, or a related field.
  • Experience conducting investigations involving financial fraud, account compromise, identity theft, or other financial crimes.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Experience documenting investigations and preparing detailed case summaries.
  • Ability to assess risk, identify patterns, and make sound investigative decisions.
  • Knowledge of fraud detection tools, case management systems, and monitoring platforms.
  • Strong organizational skills with the ability to manage multiple investigations simultaneously.
  • Ability to work independently while collaborating effectively with colleagues across various business units.
  • General understanding of SEC, FINRA, and Firm-specific regulations applicable to broker-dealers and advisory businesses.

Preferred Requirements:

  • Certified Fraud Examiner (CFE) designation preferred.
  • CAMS, CFCS, or other financial crime certification preferred.
  • FINRA Series 7 license is a plus.
  • Experience investigating fraud in a broker-dealer, investment advisory, banking, or clearing firm environment.
  • Knowledge of retail brokerage operations, advisory accounts, and investment products including stocks, bonds, mutual funds, ETFs, annuities, and alternative investments.
  • Experience with fraud monitoring, case management, or transaction surveillance systems.
  • Knowledge of account takeover trends, cybersecurity-related fraud schemes, and financial crime typologies.

Key Competencies

  • Investigative mindset
  • Attention to detail

Advisor Group logo

About Advisor Group

Sourced by ZipRecruiter

Be a part of the team behind our success! At Advisor Group, we support financial professionals nationwide, the people who help everyday Americans achieve their dreams. We're a billion-dollar business with the mentality and drive of a startup. Join us in building something special.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Phoenix, AZ, US

Year founded

1988

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