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Computer Science Fraud Jobs (NOW HIRING)

Recorded Future

Fraud Analyst

Required : • BA/BS or equivalent experience in Computer Science, Information Security ... fraud-related typologies • Experience working with threat intelligence datasets or large-scale ...

Recorded Future

Fraud Analyst

Required : • BA/BS or equivalent experience in Computer Science, Information Security ... fraud-related typologies • Experience working with threat intelligence datasets or large-scale ...

Recorded Future

Fraud Analyst

Required : • BA/BS or equivalent experience in Computer Science, Information Security ... fraud-related typologies • Experience working with threat intelligence datasets or large-scale ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site

$80K - $93K/yr

... Computer Science, Statistics, Mathematics, or similar * 2+ years of experience in fraud ... investigations, threat intelligence, cybersecurity, or risk management, with exposure to account ...

Home Depot

Sr. Analyst - Gift Card Fraud

Atlanta, GA · On-site

The Sr. Fraud Analyst - Gift Cards is responsible for all data, processes, and strategy around Gift ... S or higher in Applied Mathematics, Economics, Computer Science, Statistics or a similar field.

ID.me

Fraud Investigations Analyst

Mclean, VA

$80K - $93K/yr

... Computer Science, Statistics, Mathematics, or similar * 2+ years of experience in fraud ... investigations, threat intelligence, cybersecurity, or risk management, with exposure to account ...

Socure

Staff Data Scientist - Fraud & Risk

New York, NY · On-site

$180K - $210K/yr

Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related ... Experience in fraud prevention, risk modeling, or identity verification. * Years of hands-on ...

Recorded Future

Fraud Analyst

Boston, MA · Remote

$78K - $117K/yr

We are looking for a Fraud Analyst to join our Threat Intelligence team! What You'll Do: * Conduct ... BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security ...

Truist

Card Fraud Data Scientist II

Atlanta, GA · On-site

... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ... Experience analyzing fraud trends using large datasets , applying statistical techniques, SQL, and ...

New

Recorded Future

Fraud Analyst

Washington, DC · Remote

$78K - $117K/yr

We are looking for a Fraud Analyst to join our Threat Intelligence team! What You'll Do: * Conduct ... BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security ...

Recorded Future

Fraud Analyst

New York, NY · Remote

$78K - $117K/yr

We are looking for a Fraud Analyst to join our Threat Intelligence team! What You'll Do: * Conduct ... BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security ...

Rain

Data Scientist - Fraud Risk

New York, NY · On-site

$50K/yr

About the Team The fraud risk management team at Rain creates sophisticated, scalable risk ... Computer Science, etc.) Nice to have, but not mandatory * Experience at a high-growth fintech ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Team: Fraud ADUS Key Responsibilities: * Develop and implement end-to-end ML models for fraud ... Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. * Advanced ...

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How much do computer science fraud jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for computer science fraud in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What is computer science fraud?

Computer science fraud refers to deceptive or unethical practices within the field of computer science, such as falsifying data, misrepresenting research results, or engaging in activities like software piracy or hacking for personal gain. This type of fraud can occur in academic research, software development, cybersecurity, and other related areas. It undermines trust in technological systems and can have serious legal and ethical consequences for individuals and organizations involved. Preventing computer science fraud requires adherence to ethical guidelines, transparent research methods, and strong cybersecurity measures.

What are the key skills and qualifications needed to thrive as a Computer Fraud Analyst, and why are they important?

To thrive as a Computer Fraud Analyst, you need a solid background in computer science, cybersecurity, and data analysis, usually supported by a relevant degree and industry certifications such as CISSP or CFE. Familiarity with digital forensics tools, intrusion detection systems, and security information and event management (SIEM) platforms is essential for investigating and preventing fraud. Strong analytical thinking, attention to detail, and clear communication are crucial soft skills in this role. These competencies are vital for identifying vulnerabilities, mitigating risks, and effectively collaborating with stakeholders to safeguard organizational assets.

What are some common challenges faced by computer science professionals working in fraud detection roles?

Professionals in computer science fraud detection often encounter rapidly evolving tactics used by fraudsters, requiring continuous learning and adaptation. Balancing the need for accurate detection with minimizing false positives is a frequent challenge, as overly strict algorithms can inconvenience legitimate users. Additionally, collaborating effectively with cross-functional teams—such as data scientists, cybersecurity experts, and business stakeholders—is important to ensure comprehensive fraud prevention strategies and timely incident response.
Infographic showing various Computer Science Fraud job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.
Fraud Analyst

Fraud Analyst

Recorded Future

Remote

Full-time

Posted 5 days ago

Job description

Job Summary:
Recorded Future is the world’s most advanced and largest intelligence company, serving over 1,900 clients worldwide. They are seeking a Fraud Analyst to join their Threat Intelligence team to conduct research on cyber threats and produce actionable intelligence.
Responsibilities:
• Conduct research on emerging cyber threats, adversary activity, and global threat trends
• Collect, analyze, and synthesize data from a variety of technical and open sources to produce actionable intelligence
• Support tracking of threat actor infrastructure, campaigns, and evolving tactics, techniques, and procedures (TTPs)
• Monitor and assess Chinese-language sources to identify relevant threat activity and insights
• Contribute to the production of high-quality intelligence reporting for internal and external stakeholders
• Assist in identifying and developing indicators and detection opportunities
• Collaborate with cross-functional teams, including other intelligence, engineering, and data science teams
• Continuously develop technical expertise and stay current on evolving threat landscapes and tradecraft
Qualifications:
Required:
• BA/BS or equivalent experience in Computer Science, Information Security, Intelligence, Security Studies, or a related field
• 1–2 years of experience in Threat Intelligence, Cybersecurity, or a related discipline (including internships or academic research)
• Foundational understanding of cyber threat analysis and intelligence methodologies
• Basic knowledge of networking concepts, including TCP/IP, DNS, and internet infrastructure
• Experience or familiarity with analyzing technical artifacts such as domains, IP addresses, and related metadata
• Familiarity with OSINT collection and analysis techniques
• Exposure to common CTI tools and workflows (e.g., Jupyter Notebook, Maltego, Elastic Stack, or similar platforms)
• Understanding of structured analytic techniques and frameworks such as MITRE ATT&CK, the Cyber Kill Chain, or the Diamond Model
• Strong analytical, problem-solving, and critical thinking skills
• Effective written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
• Ability to work collaboratively in a fast-paced, globally distributed team environment
• Professional working proficiency in Chinese, with the ability to read, analyze, and synthesize native-language sources
Preferred:
• Experience analyzing financially motivated cyber activity, including phishing, scams, or account compromise
• Basic scripting or programming experience (Python preferred) for data analysis or task automation
• Familiarity with underground ecosystems such as forums, marketplaces, or messaging platforms (e.g., Telegram)
• Understanding of payment systems, cryptocurrency usage, or fraud-related typologies
• Experience working with threat intelligence datasets or large-scale data analysis
• Exposure to detection development or identifying indicators of malicious or suspicious activity
• Working knowledge of Russian is a plus
Company:
Recorded Future provides threat intelligence for proactive cybersecurity and risk management. Founded in 2009, the company is headquartered in Somerville, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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