Remote Fraud Analytics Lead – Data & ML Solutions

Fearless; Baltimore (MD); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible schedules

Medical HSA coverage

401(k) with match

Paid parental leave

Job summary

Fearless is seeking a Fraud Data Analytics Lead as part of our Senior Consultant, Data & Analytics career path to drive fraud prevention efforts across state and federal customers. This fully remote role requires advanced data analytics, ML solution design, and cross-functional collaboration with stakeholders and engineering teams.

You will translate complex program integrity requirements into actionable detection models, dashboards, and technical roadmaps while mentoring teams to become

Qualifications

• 10+ years in fraud analytics, program integrity, or related data analysis roles.
• Experience with SQL, Python, and analytics tools to query and analyze large datasets.
• Ability to obtain and maintain a Public Trust clearance; US Citizenship required.

Responsibilities

• Develop and maintain fraud analytic models to detect fraud patterns across federal partner ecosystems.
• Collaborate with DevOps/SecOps to improve data infrastructure and scale analytics programs.
• Monitor analytics to establish anomaly behaviors and alert triggers; refine detection models as schemes evolve.
• Develop dashboards and reporting solutions communicating KPIs, alerts, and trends to stakeholders.
• Advise on data collection, analysis, and visualization strategies to support decision-making.

Skills

Fraud analytics

Data analysis

SQL

Python

Communication skills

Independent work

Education

Bachelor's degree in Data Science/Statistics/Computer Science or related field

Tools

Tableau

Relational databases

NoSQL databases

Job description

Fearless is seeking a Fraud Data Analytics Lead as part of our Senior Consultant, Data & Analytics career path to drive fraud prevention efforts across state and federal customers. This fully remote role requires advanced data analytics, ML solution design, and cross-functional collaboration with stakeholders and engineering teams.

You will translate complex program integrity requirements into actionable detection models, dashboards, and technical roadmaps while mentoring teams to become