Principal - Fraud Analytics Technical Lead (Consulting Manager)

About the role

The Principal Fraud Analytics Technical Lead will lead day-to-day execution of fraud analytics workstreams, coordinate delivery of analytical products, and provide technical guidance supporting fraud monitoring, investigations, reporting, and platform operations.

This position will use broad judgment to select methods and techniques, analyze complex situations and data, prepare briefings and recommendations, and provide task-level technical guidance to improve fraud detection, analytics workflows, and operational outcomes.

Responsibilities

• Lead execution of assigned fraud analytics workstreams, continuous enhancements, application onboarding activities, platform support efforts, and stakeholder coordination activities.
• Analyze complex situations and data using professional concepts, methodologies, and broad judgment to identify fraudulent activity, anomalous behavior, emerging risks, and improvement opportunities.
• Identify alternative applications for existing tools, techniques, technologies, data models, and analytics workflows to improve results and influence operational outcomes.
• Provide day-to-day technical leadership and work coordination to support timely completion of analytics, reporting, data integration, and investigative activities.
• Implement, test, validate, and maintain fraud indicators, detection logic, analytical algorithms, predictive models, and statistical analysis approaches.
• Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.
• Collaborate with technical teams, analysts, engineers, and stakeholders to clarify requirements, evaluate options, and support delivery of fraud analytics capabilities.
• Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational needs.
• Support investigative and forensic analysis of transactional, behavioral, and system activity data to identify trends, root causes, and potential attack vectors.
• Track workstream progress, coordinate task assignments, and support delivery of recurring reports, analytical findings, and stakeholder briefings.

Requirements

• Ability to obtain and maintain a Public Trust clearance.
• Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field.
• Seven (7) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.
• Experience leading tasks or program segments in data analytics, cybersecurity, fraud analytics, systems integration, or platform advisory environments.
• Experience analyzing complex situations and data using professional concepts, methodologies, broad judgment, and independent problem solving.
• Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.
• Experience providing technical direction, mentorship, or task-level leadership to team members completing analytics, data integration, documentation, or investigative tasks.
• Experience leading day-to-day technical execution of analytical projects, investigations, or delivery teams.
• Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.
• Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics work.
• Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.

Qualifications

Candidate should have a strong background in data science, computer science, or a related field, with a minimum of 7 years of experience in fraud analytics, cybersecurity analytics, or a related field.

Skills

• Experience with Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk.
• Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React.
• Experience with data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.
• Experience with predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)