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Fraud Detection Machine Learning Jobs in Orem, UT

Netcraft

Enterprise Account Executive

Lehi, UT

About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a ... Lead consultative conversations with CISOs, fraud leaders, brand protection teams, and other senior ...

Cisco

Applied AI Scientist

Lehi, UT · On-site

Contribute to the research, design, and development of large-scale foundation models for machine ... MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates ...

WinCo Foods

WinCo Foods

Midvale, UT · On-site

$19.74 - $26.11/hr

Job Summary Responsible for the Asset Protection activities related to the detection, apprehension ... Must be at least 18 years old Machines and Equipment Operated: * C.C.T.V., DVR and digital camera ...

WinCo Foods

Asset Protection Agent

Midvale, UT · On-site

$19.74 - $26.11/hr

Overview Job Summary Responsible for the Asset Protection activities related to the detection ... Must be at least 18 years old Machines and Equipment Operated: * C.C.T.V., DVR and digital camera ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Orem, UT

Fraud Detection Machine Learning information

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How much do fraud detection machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Orem, UT is $15.69, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $16.73 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Orem, UT?

For Fraud Detection Machine Learning jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Orem, UT look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Orem, UT are:

Fraud Detection Machine Learning jobs near you
Infographic showing various Fraud Detection Machine Learning job openings in Orem, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $32,643 per year, or $15.7 per hour.

Enterprise Account Executive

Netcraft

Lehi, UT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Key responsibilities

  • Own and manage the full sales cycle, from prospecting to close

  • Drive new pipeline through consistent outbound activity (email, phone, LinkedIn)

  • Lead consultative conversations with CISOs, fraud leaders, brand protection teams, and other senior stakeholders

Job description

About Netcraft

Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large governments. We've blocked over 225 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks.

Our purpose and passion are focused on just one thing: protecting the world from cybercrime.

That passion shapes how we work, too. We're proud of our talented team and the value each person brings, and we've built a workplace where people feel supported and inspired. From strong benefits and wellness programs to meaningful collaboration and team connection. 

The Role

We're looking for a driven, consultative Enterprise Account Executive to help expand Netcraft's footprint across the Americas. You'll work directly with our Americas Sales Leader and collaborate closely with colleagues across Sales, Product, Marketing, and Engineering in Lehi and across our global offices.

In this role, you will source, develop, and close new business while educating prospects on the external cyber threats targeting their organization — and how Netcraft's world-leading detection and takedown capabilities can proactively protect their brand, customers, and infrastructure.

What You'll Be Doing

  • Own and manage the full sales cycle, from prospecting to close
  • Drive new pipeline through consistent outbound activity (email, phone, LinkedIn)
  • Partner with SDRs and Marketing to target key accounts and engage inbound leads
  • Lead consultative conversations with CISOs, fraud leaders, brand protection teams, and other senior stakeholders
  • Build tailored proposals and presentations, supported by our Solutions Engineering team
  • Maintain accurate activity, forecasting, and documentation in Salesforce
  • Collaborate with Sales Leadership, Product, and Marketing to refine messaging and improve the buyer experience
  • Share insights from the field to help shorten sales cycles and strengthen Netcraft's go-to-market strategy
  • Operate with professionalism, integrity, and accountability in every customer interaction

You'll thrive in this role if you:

  • Have a proven track record of exceeding quota, ideally selling cybersecurity or enterprise SaaS solutions
  • Are confident engaging C-level buyers and navigating complex buying committees
  • Take initiative, manage your time well, and are motivated to build and close your own pipeline
  • Are consultative, curious, and focused on solving real customer problems
  • Communicate clearly and confidently, with strong written, verbal, and presentation skills
  • Are comfortable working with technical colleagues and Solutions Engineering
  • Maintain excellent CRM hygiene (Salesforce experience preferred)
  • Are eager to learn and grow within an industry where threats — and customer needs — evolve quickly

The Rewards Package:

  • 33 days vacation - includes national holidays which can be worked if you prefer
  • Enhanced company sick pay from day one of employment, with additional support after your first six months' service
  • 401(k) Safe Harbor Plan with employer match up to 4% 
  • Comprehensive private health cover, including medical, dental, vision and life assurance
  • Generous enhanced Parental leave and pay entitlements
  • Equity tracking scheme (eligibility criteria apply) - allowing you share in Netcraft's long term success
  • Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career
  • Two Volunteering Days per year, to allow you to contribute to your wider community or charity
  • Meals, snacks, and drinks provided daily in the office
  • Employee Referral Bonus scheme
  • Hybrid and flexible working options
  • Spot reward bonus scheme to reward truly outstanding contributions 

Diversity, Equity & Inclusion 

This is deeply important to us. Through our ally network, we support under-represented groups and maintain a working environment free from bias, harassment, or discrimination. We encourage candidates from all backgrounds to apply. 

We're also happy to make adjustments to the hiring process to ensure every candidate can participate fully. 

Please note: Netcraft does not accept unsolicited approaches from external recruiters.