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Fraud Jobs in Colorado (NOW HIRING)

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to ...

Sonsoft Inc

Actimize BA

Denver, CO · On-site

At least 4 years of experience in Anti-Fraud, with excellent understanding of Anti-Fraud Domain and Actiize implementations. * At least 4 years of experience in any Actimize Out of the box Solution ...

Recurly

Senior Product Manager

Broomfield, CO

$120K - $185K/yr

Own Recurly's fraud detection and prevention product strategy - building tools and integrations that reduce fraudulent transactions while minimizing friction for legitimate subscribers. * Drive the ...

V2Soft

Quality Assurance Lead

Almont, CO · On-site

Cassandra Query Language (CQL) * QA + AML/fraud domain * Looking for Actimize (if they do not have, they must have QA + AML/ fraud domain) * Java * Testing Automation Nice to Have Skills: * CA-7 * ...

New

Checkr

Sr. Product Marketing Manager

Denver, CO · On-site

$124K - $163K/yr

Develop Checkr's fraud narrative, connecting fast-moving trends with Checkr's differentiated position and translating it into crisp, compelling messaging for mid-market and enterprise buyers * Ensure ...

Recurly

Senior Product Manager

Broomfield, CO · On-site

$120K - $185K/yr

What You'll Be Doing Fraud & Chargeback * Own Recurly's fraud detection and prevention product strategy -- building tools and integrations that reduce fraudulent transactions while minimizing ...

Recurly

Senior Product Manager

Broomfield, CO · On-site

$120K - $185K/yr

Own Recurly's fraud detection and prevention product strategy - building tools and integrations that reduce fraudulent transactions while minimizing friction for legitimate subscribers. * Drive the ...

Home Depot

Asset Protection Specialist

Colorado Springs, CO

$19.75 - $21.25/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

Home Depot

Asset Protection Specialist

Parker, CO · On-site

$22/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

Home Depot

Asset Protection Specialist

Denver, CO · On-site

$23/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

Home Depot

Asset Protection Specialist

Lone Tree, CO · On-site

$21.50/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

Home Depot

Asset Protection Specialist

Golden, CO

$20.75 - $22.25/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

Home Depot

Asset Protection Specialist

Lakewood, CO · On-site

$21.50/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

Land Title

Paralegal

Englewood, CO

Support Fraud Prevention & Risk Matters: Assist with seller fraud due diligence and coordinate with law enforcement on records requests and fraud-related matters. Assist in the preparation of victim ...

Home Depot

Asset Protection Specialist

Brighton, CO · On-site

$21.50 - $23/hr

The Asset Protection Specialist is primarily responsible for preventing financial loss caused by theft and fraud and supporting safety and environmental program compliance in their assigned store ...

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Showing results 21-40

All JobsFraud JobsFraud Jobs in Colorado

Fraud information

See Colorado salary details

$16

$32

$66

How much do fraud jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for fraud in Colorado is $32.26, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $35.62 per hour, depending on experience, location, and employer.

What does a fraud analyst do?

A fraud analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization. They analyze transactions, monitor suspicious patterns, and use specialized software to identify potential fraud. Fraud analysts also work closely with law enforcement and other departments to resolve cases and implement strategies to reduce future risks. Their goal is to protect the company and its customers from financial losses and reputational damage.

How to start working in fraud?

To work in fraud detection or prevention, gain knowledge of financial transactions, cybersecurity, and fraud schemes through relevant education or certifications such as Certified Fraud Examiner (CFE). Entry-level roles often require strong analytical skills, attention to detail, and familiarity with fraud detection tools and software. Building experience in finance, law enforcement, or cybersecurity can also be beneficial for starting a career in this field.

What are some common challenges faced by professionals working in fraud prevention roles?

Professionals in fraud prevention often encounter the challenge of staying ahead of rapidly evolving schemes and technologies used by fraudsters. Maintaining up-to-date knowledge of emerging threats, adapting detection systems, and managing large volumes of data are part of the daily responsibilities. Additionally, fraud teams must collaborate closely with IT, legal, and customer service departments to investigate incidents and implement effective countermeasures. Balancing thorough investigation with minimizing disruption to legitimate customers can also be a complex aspect of the role.

Is fraud a good career?

Fraud investigation and prevention is a legitimate career that involves analyzing financial data, identifying suspicious activity, and using tools like data analysis software. It often requires strong attention to detail, analytical skills, and relevant certifications such as Certified Fraud Examiner (CFE). The field offers opportunities in various industries, including finance, insurance, and law enforcement, with a focus on ethical practices and compliance.

What are the key skills and qualifications needed to thrive as a fraud analyst?

To thrive as a Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or criminal justice, often supported by a relevant degree. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and certifications such as CFE (Certified Fraud Examiner) are typically valuable. Excellent problem-solving abilities, critical thinking, and strong communication skills help you effectively investigate and report suspicious activities. These skills are crucial for accurately identifying fraudulent behavior, minimizing financial losses, and maintaining organizational integrity.

What is the difference between Fraud vs Fraud Analyst?

AspectFraudFraud Analyst
CredentialsVaries; often includes certifications like ACFE, CFETypically requires certifications like CFE, CPA, or ACFE
Work EnvironmentVarious industries including banking, retail, insurancePrimarily in finance, banking, insurance, and e-commerce sectors
Employer & Industry UsageUsed broadly to describe the act of deception or illegal activitySpecific role focused on detecting, investigating, and preventing fraud

Fraud refers to the act of deception intended to result in financial or personal gain, while a Fraud Analyst is a professional responsible for identifying and preventing such activities within organizations. Understanding the distinction helps in targeting the right career path or job search in the fraud prevention industry.

What degree do you need to work in fraud?

A career in fraud investigation or prevention typically requires at least a bachelor's degree in fields such as criminal justice, accounting, finance, or cybersecurity. Relevant skills include analytical thinking, attention to detail, and knowledge of fraud detection tools; certifications like Certified Fraud Examiner (CFE) can also enhance job prospects.

What are the most commonly searched types of Fraud jobs in Colorado?

The most popular types of Fraud jobs in Colorado are:

What are popular job titles related to Fraud jobs in Colorado?

For Fraud jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Fraud jobs in Colorado look for?

The top searched job categories for Fraud jobs in Colorado are:

What cities in Colorado are hiring for Fraud jobs?

Cities in Colorado with the most Fraud job openings:

Fraud jobs near you
Infographic showing various Fraud job openings in Colorado as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $67,110 per year, or $32.3 per hour.

Senior Machine Learning Engineer I // II

Signifyd

Denver, CO • On-site, Remote

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago

Job description

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients' success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!
The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd's product. This includes the core fraud detection model that decides the majority of our traffic, alongside our model training and evaluation infrastructure. We work closely with Platform Engineering teams to contribute novel modeling methods, advanced feature engineering, and robust statistical practices.
Our Culture
We value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters looking to exploit any gap. We seek equally motivated individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward.
The Role
As a Senior Machine Learning Engineer, you will be a driver of technical execution within the ML team. You won't just build models-you'll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production. You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound.
Responsibilities:
  • Expand ML Capabilities - Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
  • Enable High-Velocity Experimentation - Own the design and implementation of ML pipeline components that accelerate our innovation
  • Collaborate Across Functions - Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
  • Raise the Bar - Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development.

Requirements:
  • Education: A degree in Computer Science, Statistics, or a comparable quantitative field.
  • Experience: 4-6+ years of post-undergrad work experience in a production-grade ML environment.
  • Technical Depth: Strong foundation in machine learning theory, statistical evaluation, and experience with supervised/unsupervised learning at scale.
  • Execution Focus: Proven track record of taking ML projects from research/prototype to high-scale production environments.
  • Communication: Ability to communicate technical findings clearly to both technical peers and non-technical stakeholders.
  • Tech Stack: Proficiency in Python, SQL, key ML libraries, and Spark
  • Mindset: A strong outcome-oriented mindset-you care about the "why" behind the models and the business impact they create.
  • Attention to detail is critical in fraud prevention. To demonstrate this, please start your response to the first application question with the word 'Stochastic'

Nice to have:
  • Previous experience in fraud, fintech, payments, or e-commerce.
  • Passion for writing well-tested production-grade code
  • A Master's Degree or PhD.
Why Join Us?
  • Make an Impact - Your work will directly shape the future of fraud prevention, protecting billions of payments.
  • Lead & Grow - Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment.
  • Innovate at Scale - Work with cutting-edge ML technologies and experiment freely to push the boundaries of what's possible.
  • Collaborative Culture - Join a team that values curiosity, ownership, and continuous learning.

#LI-Remote
Benefits in our US offices:
  • Discretionary Time Off Policy (Unlimited!)
  • 401K Match
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Paid Parental Leave (12 weeks)
  • On-Demand Therapy for all employees & their dependents
  • Dedicated learning budget through Learnerbly
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • Short Term and Long Term Disability Insurance
  • Life Insurance
  • Company Social Events
  • Signifyd Swag

Compensation:
In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
Base Salary Ranges by Pay Zone:
  • Tier 1 (NYC/SF Bay Area/Seattle): $160,000 - $190,000 annually
  • Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego):$150,000 - $180,000 annually
  • Tier 3 (US - All Other): $140,000 - $170,000 annually
Equity: This role is eligible for a stock option grant of 4,000 stock options, based on the position level and internal compensation guidelines.
Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
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