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Software Engineer Fraud Detection Jobs in Nevada

Sleeper

Fraud Operations Analyst Intern

Las Vegas, NV · On-site

$24.04/hr

Utilize various tools, systems, and reports to detect and uncover fraud trends, as well as to ... Our team includes designers, engineers, product experts, and finance & operation focused on one ...

Varsity Tutors

Machine Learning Tutor

Las Vegas, 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 ...

Varsity Tutors

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 ...

Varsity Tutors

Machine Learning Tutor

Henderson, 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 ...

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Software Engineer Fraud Detection information

What does a Software Engineer in 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 in 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 in 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:
What cities in Nevada are hiring for Software Engineer Fraud Detection jobs? Cities in Nevada with the most Software Engineer Fraud Detection job openings:
Software Engineer Fraud Detection jobs near you
Fraud Operations Analyst Intern

Fraud Operations Analyst Intern

Sleeper

Las Vegas, NV • On-site

$24.04/hr

Full-time

Re-posted 3 days ago

Job description

Sleeper is a sports-focused games platform with messaging at its core. We are a young and energetic company, fueled by a passion for sports and a drive for innovation. Our mission is to create a digital playground for sports fans and their friends to hang out. We bring people together over sports.
Currently, we are looking for a highly analytical and detail-oriented Fraud Operations Analyst Intern, to join our dynamic Fraud Ops team. This is a 12-week role with the possibility of conversion to a full-time ongoing position, depending on performance and business needs. Conversion is not guaranteed.
What you will do:
  • Protect the integrity of our games and user community by monitoring and analyzing suspicious player activity for potential fraud, taking immediate action to mitigate losses when necessary.
  • Review user wallet transactions (deposits and withdrawals), as well as relevant play activity for potential fraud on a daily basis to ensure user accounts (profiles and balances) are appropriately maintained.
  • Utilize various tools, systems, and reports to detect and uncover fraud trends, as well as to measure, track, and communicate with management.
  • Stay current with fraud and user behavior trends, identifying new methods for detection and prevention in order to share insights across departments and implement recommendations.
  • Support management and internal teams on ad hoc requests and fraud reviews as needed.
  • Work collaboratively with other departments to develop and optimize fraud-related processes, as well as related policies and best practices.
  • Ensure compliance with anti-money laundering, including Know Your Customer ("KYC") and gaming regulations, as well as the integrity of our games and contests by monitoring activities that may violate our terms of service.
  • Partner with the Customer Support team to develop and implement protocol and training for reviewing and resolving support issues pertaining to identity verification, document authentication, user deposits / withdrawals, chargebacks, suspicious user behavior, and investigations.
  • Work in cross-functional teams to design and manage scalable fraud prevention / risk mitigation systems, as well as back-office processing systems around payment operations and support.

What you will have:
  • 1 - 3 years of relevant experience in a Fraud, Risk Operations, or related role.
  • Bachelor's degree in a related field or equivalent education and experience.
  • Knowledge of Daily Fantasy Sports, Gaming, and/or payment processes in the DFS / gaming industry.
  • A self-starter with strong analytical skills and exceptional attention to detail; highly organized and detail-oriented with exceptional follow-through -- emphasis on accountability and ownership.
  • Ability to work in a fast-paced startup environment and adapt to an evolving industry.
  • Investigative curiosity and strong organizational skills.
  • Ability to work a hybrid remote and in-office schedule that may include weekends.
  • Ability to interpret data and behaviors.
  • A full understanding of our mission and values at Sleeper.

Benefits are not provided during the internship period.
What we offer
Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing - connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base wage range and/or a general description of benefits and other compensation applicable to the role.
For this role, the intern pay rate is $24.04 per hour. Benefits are not provided during the internship period. Sick time is provided.
The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app.
Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa.
To learn more, visit us online at: www.sleeper.com

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