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Fraud Detection Machine Learning Jobs in Baltimore, MD

Varsity Tutors

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:

Varsity Tutors

Machine Learning Tutor

College Park, 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:

Varsity Tutors

Machine Learning Tutor

Baltimore, 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:

Varsity Tutors

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:

Phase2 Technology

Data Engineer

Fort George G Meade, MD · On-site

$77.60 - $176/hr

... such as fraud detection, cancer research, and national intelligence. The Opportunity Ever‑expanding technology like IoT, machine learning, and artificial intelligence means that there's more ...

New

Booz Allen Hamilton

Data Scientist

Edgewood, MD · On-site

$77K - $176K/yr

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

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton

Data Scientist

Edgewood, MD · On-site

$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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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Baltimore, MD

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 Baltimore, MD is $17.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.09 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 Baltimore, MD?

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

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

The top searched job categories for Fraud Detection Machine Learning jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Fraud Detection Machine Learning jobs?

Cities near Baltimore, MD with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you

Fraud Data Analytics Lead, (Senior Consultant, Data & Analytics) with Security Clearance

Fearless

Baltimore, MD • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Requirements Fraud Data Analytics Lead(Senior Consultant, Data & Analytics) At Fearless, we are seeking a Fraud Data Analytics Lead as part of our Senior Consultant, Data and Analytics career path to drive program integrity and fraud prevention efforts across our state and federal customers. This role combines deep fraud analytics expertise with technical solution design, translating complex program integrity requirements into actionable detection models and system integrations. You will serve as the bridge between business stakeholders and engineering teams, advising on data strategy, fraud monitoring capabilities,  and emerging threats in identity verification and fraud prevention. This is a fully remote role.  The Senior Consultant is an expert in data analysis, engineering, and science. This role will possess the necessary skills at an advanced level of proficiency to drive organizational transformation by architecting scalable data platforms, building advanced machine learning solutions, and mentoring customers and teams to become data-driven organizations. The role involves working with executives, project teams, and internal leaders across departments to identify opportunities where data can accelerate missions, create efficiencies, and deliver technical excellence. Your Responsibilities in this Role:  * Develop and maintain fraud analytic models to detect identity fraud, account takeover, synthetic identity fraud, and emerging fraud patterns. 
* ​Conduct analytics across enrollment, registration, application, and investigative data to identify suspicious behaviors, fraudulent trends, and emerging fraud patterns across federal partner ecosystems. 
* Collaborate with DevOps and SecOps teams to improve data infrastructure and operationalize analytics programs at scale. 
* Monitor fraud analytics, including entity resolution, social network analysis, and unsupervised monitoring, to establish anomaly behaviors and alert triggers. 
* ​Incorporate data from third-party fraud detection tools and continuously refine fraud detection models as fraud schemes evolve. 
* ​Develop dashboards and reporting solutions that communicate key performance indicators, suspicious activity alerts, and fraud trends to stakeholders and leadership. 
* ​Conduct fraud risk assessments to identify program vulnerabilities, establish risk tolerances, and develop mitigation strategies and response plans. 
* Advise on data collection, analysis, and visualization strategies to support program integrity decision-making and technical roadmaps. 
* Utilize data-driven insights and fraud trend analysis to inform program strategy, optimize fraud detection policies and third-party tool configurations, improve operational processes, and guide staffing and technology investment decisions. 
* Continuously monitor, evaluate, and optimize fraud detection model performance, refining detection logic as fraud tactics evolve to maintain effectiveness and minimize false positives. 
* Define, monitor, and report fraud analytics metrics, including alert volumes, adjudication outcomes, response times, fraud trends, and other operational performance indicators. 
* Develop fraud response plans, including escalation procedures, scenario planning, and operational readiness activities to support effective response to emerging fraud events. 
The Impact You Will Create in this Role:  Fearless Impact: * Fosters collaboration with cross functional teams 
* Coach, mentor, and develop peers in data literacy, strengthening organizational decision making
* Earn the trust of your customer and teammates by delivering world class services.
* Drive accountability and delivery by ensuring project objectives are not only met on time but aligned with client priorities and Fearless standards of excellence. Anticipate risks and implement proactive solutions to keep initiatives on track.
* Take ownership of risk management by monitoring deliverables across the team, identifying issues early, and coaching teammates on mitigation strategies while keeping leadership informed.
* Shape client engagement and intelligence-gathering efforts by actively cultivating relationships with stakeholders, synthesizing insights across the client organization and partner ecosystem, and providing Fearless leaders with actionable recommendations that inform strategy and strengthen delivery outcomes.
Fearless Customer Impact: * Deliver expected outcomes relative to data that enable smarter, faster, and more informed customer decisions
* Offer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insight
* Lead and align stakeholders with product and project goals that build trust and confidence in data as a strategic asset that drives customer value and Fearless success
* Serve as a trusted advisor in your area of expertise Work Experience SKILL AND EXPERIENCE REQUIREMENTS * Minimum of 10 years of experience in fraud analytics, program integrity, or related data analysis roles supporting federal programs. 
* Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience. 
* Ability to obtain and maintain a Public Trust clearance. 
* U.S. Citizenship is required. 
* Proven experience developing fraud detection models and conducting data analytics to identify suspicious activity and trends. 
* Experience with SQL, Python, and analytics tools to query, manipulate, and analyze large datasets. 
* Strong understanding of fraud, waste, abuse, and identity management concepts within program integrity frameworks. 
* Demonstrated ability to translate business and program integrity requirements into technical solutions and system integrations. 
* ​Experience working independently in ambiguous environments. 
* Strong written and verbal communication skills. 
* Ability to explain complex analytical findings and technical decisions to both technical and non-technical stakeholders. 
* Ability to adapt to evolving fraud threats, changing priorities, and new technologies
Preferred Experience  * Experience with data visualization tools such as Tableau to build dynamic dashboards 
* and reporting solutions. 
* Familiarity with relational and non-relational database systems and database 
* architecture. 
* ​Knowledge of emerging fraud threats introduced by AI and evolving technologies in 
identity verification and fraud prevention.  Fearless Skills and Competencies * Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions.
* Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole.
* Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks.
* Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery.
* Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations.
* Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making.
* Managing Priorities & Client Alignment: Skillfully negotiates and manages conflicting priorities to strategically align decisions, enhancing service delivery and client satisfaction.
Required Level of Proficiency: * Advanced Application: You can perform the actions associated with a skill without assistance. You are recognized within your immediate organization as "a person to ask" when difficult questions regarding required skills arise.
Physical Requirements: * Ability to sit for extended periods while working on a computer or during meetings.
* Must be able to travel occasionally to client sites or company meetings, which may involve driving or flying.
* Ability to communicate effectively via phone, email, and in-person, requiring clear speech, listening, and written communication skills.
* Ability to move within an office environment, including reaching for files, using office equipment, and occasional light lifting (up to 10 pounds). Benefits Life at Fearless We’re a digital integration consultancy on a mission to build a better tomorrow. At Fearless, we combine technology, people, and organizational development to solve meaningful problems. Through iterative development, we deliver smart, user-friendly solutions that make tech work better—for everyone. But great tech is just part of the story. What really makes us Fearless is our Purple Culture. What Makes Us Purple? Being Purple means you: * Are valued as a whole person—not just a job title
* Get matched with work that plays to your strengths and passions
* Are supported by coaches, not micromanagers
* Have the autonomy and clarity to make decisions and drive impact
* Join a community that celebrates equity, curiosity, and innovation
* Do work that matters—every day
We believe in flexibility, growth, and balance. Our benefits and culture are designed to support you in doing your best work—while making space for what matters to you outside of it. We’re proud to be an equal opportunity employer. At Fearless, we’re building a workplace that welcomes and respects everyone—across race, gender, age, religion, identity, background, and ability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Compensation

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