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Software Engineer Fraud Detection Jobs in Washington

BRMi

Fraud Management Specialist

Vienna, VA · On-site

Collaborates with business units and Security to identify fraud trends, improve fraud detection ... Familiarity with databases, spreadsheets, presentation software, and reporting tools. * Knowledge ...

BRMi

Fraud Management Specialist

Vienna, VA · On-site

Collaborates with business units and Security to identify fraud trends, improve fraud detection ... Familiarity with databases, spreadsheets, presentation software, and reporting tools. * Knowledge ...

BRMi

Fraud Management Specialist

Vienna, VA

Collaborates with business units and Security to identify fraud trends, improve fraud detection ... Familiarity with databases, spreadsheets, presentation software, and reporting tools. * Knowledge ...

Socket.dev

Senior Software Engineer

Washington, DC · On-site

$140 - $180/hr

... tools, fraud detection, routing, and workflow automation. * Integrate internally developed and externally developed solutions into FEMA enterprise engineering patterns and approved hosting ...

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Must have experience supporting fraud detection, anomaly detection, or financial oversight analytics environment preferred. Minimum Qualifications * Minimum 3 years data engineering experience.

Capital One

Lead Software Engineer - MLOps

Mclean, VA · On-site

Lead Software Engineer - MLOps Do you love building and pioneering in the technology space? Do you ... account takeover fraud detection and AI-driven vulnerability management. * Write performant ...

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Software Engineer Fraud Detection information

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 are popular job titles related to Software Engineer Fraud Detection jobs in Washington?

For Software Engineer Fraud Detection jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Software Engineer Fraud Detection jobs in Washington look for?

The top searched job categories for Software Engineer Fraud Detection jobs in Washington are:

What cities in Washington are hiring for Software Engineer Fraud Detection jobs?

Cities in Washington with the most Software Engineer Fraud Detection job openings:

Software Engineer Fraud Detection jobs near you

Fraud Management Specialist

BRMi

Vienna, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Overview
BRMi is seeking a Fraud Management Specialist to support the development and improvement of fraud management policies, processes, reporting, and detection methods to protect the organization from financial fraud. Collaborates with business units and Security to identify fraud trends, improve fraud detection capabilities, resolve fraud cases, and support strategic fraud prevention initiatives. Assists with process improvements, reporting, training, and fraud investigations while working under general supervision.
**Hybrid in Vienna, VA, Pensacola, FL, or Winchester, VA**
**In person interviews will be required for this role**
Shift (Time): 9:00am - 5:30pm (in respective time zones)
6 Month Contract
Benefits:
• Comprehensive Medical, Dental, and Vision Insurance
• Employer-Paid Life Insurance
• Employer-Paid Short-Term and Long-Term Disability Insurance
• 401(k)
• Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
• Educational Assistance
Salary: 67k-85k (Depends on location)
Click here to learn about BRMi's culture.
Click here to see BRMi's Glassdoor reviews
Responsibilities
  • Identify patterns and trends indicating potential fraud or account abuse.
  • Monitor member account activity to proactively detect fraudulent transactions and suspicious activity.
  • Take immediate corrective or protective action and escalate cases to Security for investigation.
  • Review and analyze potential fraud and forgery cases prior to Security submission.
  • Track and monitor fraud case progress and communicate status updates to appropriate stakeholders.
  • Communicate with internal and external customers regarding fraud issues, account information, and case resolution.
  • Identify opportunities to improve fraud processes, technology, data, and operational procedures.
  • Serve as a subject matter expert on fraud trends and emerging risks.
  • Support fraud detection, prevention, and root cause analysis initiatives.
  • Collect, prepare, maintain, and analyze fraud-related data and reports.
  • Develop and support incident response standards, fraud response processes, and quality procedures.
  • Coordinate or provide training related to fraud processes, change management, and procedural updates.
  • Partner with business units to understand transaction processes and identify fraud risks across operations.
  • Perform other duties as assigned.

Qualifications
  • Bachelor's degree in Business, Finance, or a related field.
  • Experience identifying, analyzing, and resolving fraud-related issues.
  • Knowledge of fraud detection, prevention, and case management practices.
  • Strong analytical, research, and problem-solving skills.
  • Ability to analyze data and identify fraud patterns and trends.
  • Experience preparing reports and maintaining fraud-related documentation.
  • Strong verbal and written communication skills.
  • Ability to manage multiple priorities in both independent and team environments.
  • Effective organizational, planning, and time management skills.
  • Familiarity with databases, spreadsheets, presentation software, and reporting tools.
  • Knowledge of statistical analysis, data querying, forecasting, and operational reporting.
  • Understanding of financial institution operations, lending, and credit union processes.
  • Familiarity with NCUA regulations and fraud investigation practices.
  • Ability to collaborate with cross-functional stakeholders and business leaders.
  • Knowledge of organizational policies, procedures, and fraud prevention standards.

** BRMi will not sponsor applicants for work visas for this position.**
**This is a W2 opportunity only**
EOE/Minorities/Females/Vet/Disabled
We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.
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About BRMi

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Silver Spring, MD, US

Year founded

2004

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