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Software Engineer Fraud Detection Jobs in Nevada

Endpoint Security Engineer

Reno, NV · On-site

$99K - $225K/yr

Experience tuning detection rules, engineering advanced logging configurations, and contributing to ... We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Quality Engineer II

Las Vegas, NV · On-site

$68K - $88K/yr

... software releases while collaborating with developers and users to optimize testing processes ... and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA ...

Surveillance Investigator

Reno, NV · On-site

$21.50 - $26.50/hr

Knowledge of cheating, theft, fraud detection and Investigative procedures and techniques. Must ... Understanding of Surveillance software, iTrak, BJ Survey, Synkros, eConnect, Oosto Onwatch, Mirasys.

Showing results 41-60

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.

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 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.

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 popular job titles related to Software Engineer Fraud Detection jobs in Nevada? For Software Engineer Fraud Detection jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Software Engineer Fraud Detection jobs in Nevada look for? The top searched job categories for Software Engineer Fraud Detection jobs in Nevada are:

Endpoint Security Engineer

Booz Allen Hamilton

Reno, NV • On-site

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Endpoint Security Engineer

The Opportunity:

We are seeking a cybersecurity professional who can perform security operations, endpoint security, and incident response within largescale enterprise environments. The ideal candidate will be deploying and maturing EDR platforms, enhancing detection coverage, and strengthening security workflows. This role requires a practitioner who has supported complex and distributed environments, contributed to operational reliability, and improved detection and response processes through refined logic, increased visibility, and optimized tooling.

The candidate must demonstrate a strong ability to investigate and remediate security incidents, conduct proactive threat hunting, and perform detailed root cause analysis. Experience tuning detection rules, engineering advanced logging configurations, and contributing to incident response playbooks is essential. Familiarity with key frameworks, including MITRE ATT&CK, CIS Benchmarks, NIST standards, and federal maturity and compliance models will support success in this role.

This position is ideal for an individual who excels at crossfunctional collaboration, clear documentation, and continuous improvement of security operations. The candidate should be comfortable working with modern EDR, SIEM, and automation platforms and demonstrate a strong commitment to maintaining service uptime and driving maturation of security capabilities.

What You'll Work On:

  • Build strong relationships across teams and communicate complex security concepts to a wide range of audiences, including senior leadership.

  • Implement infrastructure and cybersecurity controls that enhance detection, improve vulnerability insights, and strengthen event correlation across large enterprises.

  • Conduct risk and vulnerability assessments across network, system, and application layers, leveraging bigdata analytics and traditional security event types to identify advanced threats and indicators of compromise.

You Have:

  • Experience with incident response, threat detection, root cause analysis, and security operations within largescale enterprise environments

  • Experience applying CIS Benchmarks, NIST standards, CMMC requirements, CDM EDR criteria, and the CISA EDR Maturity Model to strengthen enterprise security posture

  • Experience developing and refining detection logic, tuning SIEM rules, and leveraging industry frameworks such as MITRE ATT&CK to strengthen detection accuracy

  • Knowledge of endpoint detection and response (EDR) concepts, including deployment, tuning, and optimization across extensive endpoint fleets

  • Knowledge of leading security tools, including Palo Alto, SentinelOne, CrowdStrike Falcon, Symantec, and Splunk

  • Ability to support and enhance operational workflows, documentation, and clear reporting for technical and nontechnical stakeholders

  • Ability to obtain a Secret clearance

  • Bachelor's degree in Computer Science

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914