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Fraud Detection Machine Learning Jobs in Maryland

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Laurel, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Bowie, MD · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Design and implement deep learning models for 3D perception, including object detection, semantic ... Solid understanding of machine learning, deep learning, and autonomous systems. Preferred Skills:

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

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Fraud Detection Machine Learning information

See Maryland salary details

$10

$17

$26

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

As of Aug 13, 2026, the average hourly pay for fraud detection machine learning in Maryland is $17.52, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $18.65 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Fraud Detection Machine Learning jobs in Maryland? For Fraud Detection Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Maryland look for? The top searched job categories for Fraud Detection Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Fraud Detection Machine Learning jobs? Cities in Maryland with the most Fraud Detection Machine Learning job openings:

Fraud Abuse Specialist, Digital Fraud & Abuse

Geico

Bethesda, MD • On-site

$100K - $215K/yr

Full-time

Re-posted 5 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 362 frontline employees who took The Breakroom Quiz

163rd of 306 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

Like all large digital enterprises, GEICO faces industrywide challenges related to digital fraud and customer account abuse. These challenges present an opportunity to strengthen customer trust, improve resilience across our digital experiences, and lead with thoughtful, modern protections. By establishing a dedicated Digital Fraud & Abuse capability, GEICO is taking a proactive, coordinated approach - owning the customer abuse lifecycle end to end and continuously improving the effectiveness of the controls that safeguard our customers and our business.

This individual contributor position is seeking a Fraud Abuse Specialist to help develop fraud analytics models that detect suspicious activity throughout GEICO's business sector or use industry experience to create systematic solutions for persistent challenges. You'll apply advanced data analysis skills-including SQL, Python, machine learning, and data science-to drive critical, high-impact projects by collaborating with engineers, product teams, and business stakeholders in the digital fraud domain. In this role, you will play an important part in standardizing processes that enable smart decision-making, helping us respond quickly to emerging threats.

This role will:

  • Develop and maintain advanced fraud models to identify identity fraud, account takeover, and synthetic identity risks.

  • Perform risk analyses and manage complex data sets using tools such as SQL, Python, and R.

  • Monitor fraud analytics encompassing Identity and Entity Resolution/Detection, Social Network Analysis, and Unsupervised Monitoring techniques.

  • Establish anomaly behaviors and indicators, both within and outside defined ranges, that prompt active response.

  • Integrate data from third-party technology providers and tools to continuously enhance fraud detection capabilities.

  • Oversee the ongoing performance of fraud analytic models to ensure effectiveness as fraud schemes evolve.

  • Assist in developing dashboards to report key performance indicators and generate suspicious activity alerts for the operations team.

  • Conduct comprehensive fraud risk assessments to identify program vulnerabilities, evaluate risks, set tolerances, and recommend mitigation strategies.

  • Establish and report on Key Performance Indicators, including alert volume, adjudication outcomes, time to resolution, fraud type, and entry point.

  • Demonstrate proficiency in data visualization and dynamic dashboard creation using Tableau.

  • Possess experience with both relational and non-relational database systems and architecture.

  • Exhibit a strong passion for problem identification and solution optimization.

  • Maintain meticulous attention to detail along with excellent verbal, written, analytical, and organizational skills.

  • Leverage data and technical expertise to discover innovative approaches to scaling signal analysis and identifying fraudulent actors.

  • Manage the complete lifecycle of complex issues, from identification through scalable solution implementation.

  • Utilize agentic AI systems to automate workflows, enhance pattern detection, and expedite investigation and detection initiatives.

QualificationsRequired
  • Bachelor's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining.

  • 5+ years of relevant analytic experience in within digital fraud, abuse prevention, identity risk, and related fields.

  • Demonstrated strong technical proficiency, including the ability to understand APIs, data workflows, customer environments, and effectively translate requirements for engineering teams.

  • Proven track record of influencing organizational change through influence in large, matrixed environments.

  • Experience working with data and technology teams to build machine learning and heuristic fraud signals and rules.

  • Experience partnering closely with product and engineering teams on platform evolution.

Preferred
  • Experience building programmatic fraud prevention capabilities

  • Insurance, fintech, or largescale consumer digital platform experience

  • Familiarity with adaptive authentication, device intelligence, and risk engines

  • Relevant certifications


Annual Salary

$100,000.00 - $215,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936