Senior Fraud Analytics Consultant

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Analytica

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Analytica is a rapidly growing SBA-Certified 8(a) Small Business that specializes in providing advanced analytics, digital transformation, and enterprise data management services primarily to federal agencies. The company focuses on simplifying complex data to enable its clients to make informed decisions, thereby driving success in their missions and citizen services. With a strong emphasis on management consulting and federal technology training, Analytica employs a data-driven approach to enhance the capabilities of government IT systems and organizations. The company is renowned for its collaborative culture and commitment to employee development, ensuring quality service delivery. Analytica is recognized for its support in public sector innovation and adheres to industry standards like Agile, SAFe, and CMMI. Their mission is to assist the government in utilizing digital tools and data analytics to improve service delivery to citizens.

📋 Description

• Provide fraud analytics domain expertise to guide analytical development, model interpretation, rule evaluation, and operational decision-making across program use cases. • Analyze fraud schemes, filing behaviors, treatment processes, and return-level/case-level patterns to help distinguish identity theft, fabricated entities, and other emerging risks. • Support development, refinement, and monitoring of predictive models, business rules, filters, and analytical measures used to detect fraud and identity theft in pre-refund processing. • Prepare clear analytical summaries, briefing materials, dashboards, discussion points, and documentation for stakeholder reviews, leadership inquiries, operational meetings, and oversight requests.

🎯 Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. • Minimum 5 years of experience in fraud analytics, identity theft analysis, financial crime analytics, compliance analytics, or related program support. • Experience using Python, SQL, SAS, and/or R for model implementation. • Demonstrated experience supporting fraud analytics activities within a federal agency, financial institution, or highly regulated environment. • Working knowledge of statistical analysis, machine learning, anomaly detection, network analysis, supervised and unsupervised fraud detection approaches, or risk scoring techniques. • Must have active or ability to obtain IRS MBI clearance.

🏖️ Benefits

• bonuses • employer paid health care • training and development funds • 401k match