Fraud Analytics Manager

Greystones Consulting Group LLC; Washington (District of Columbia); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

401k

401(k) matching

Dental insurance

Flexible schedule

Flexible spending account

Health insurance

Life insurance

Paid time off

Referral program

Retirement plan

Vision insurance

Job summary

Greystones Group is hiring a Fraud Analytics Manager to lead detection and risk analytics across modeling, validation, and reporting for government-facing initiatives. You will coordinate resources, priorities, and transitions, interfacing with Government leadership to align analytical efforts with operational priorities and modernization objectives.

The role requires extensive analytics leadership, strong Python/SQL/Databricks expertise, and the ability to translate complex data into actionable

Qualifications

• Bachelor's degree in CS/engineering or related field.
• Must obtain Federal Public Trust Clearance; US citizen or LPR required.
• 8+ years leading complex analytics, compliance, risk, or data science programs.
• 3+ years fraud analytics, identity theft, financial crime, or risk-detection programs.
• Ability to communicate technical findings to executive, operational, technical, and Government audiences.
• Experience coordinating with IT, data engineering, production, and business stakeholders.

Responsibilities

• Lead integrated workstreams supporting predictive models, filters, business rules, performance monitoring, and analytical pilots.
• Establish workplans, milestones, dependencies, staffing plans, quality gates, and escalation paths.
• Manage delivery of recurring operational reporting, model evaluations, ad-hoc analyses, and executive briefings.
• Ensure deliverables, analytical methods, assumptions, data dependencies, and limitations are documented.
• Coordinate with IT resources and enterprise stakeholders on system changes, migrations, implementation testing, and production continuity.
• Review analytical findings for accuracy, operational relevance, and interpretation.
• Lead responses to emerging fraud schemes, urgent leadership requests, and oversight inquiries.
• Manage risks involving data access, system dependencies, production releases, workload capacity, and filing-season timing.
• Oversee AI governance, documentation, transparency, and compliance artifacts.
• Coordinate knowledge transfer, desk guides, runbooks, and transition of capabilities to Government personnel.
• Mentor senior and junior analysts and promote consistent analytical standards.

Skills

Python

SQL

Databricks

ML lifecycle

Analytical reporting

Stakeholder communication

Education

Bachelor's degree in Computer Science/Engineering or related field

Job description

Greystones Group is a fast-growing woman-owned small business supporting our Nation?s Defense and Critical Infrastructure Agencies with best-in-class artificial intelligence and big data analytics capabilities. Our capabilities include mission planning, operational support, leader development and education, cybersecurity, electronic warfare, and information technology solutions.We are looking for dedicated and motivated candidates that can grow with the company. At Greystones, we recognize that everyone brings their own important skill sets and unique talents to create a highly competent team to deliver quality solutions. We ensure that each member?s needs are addressed effectively, and our employees are not just a number. We offer a close-knit community that ensures your growth and development in a setting that provides world-class support to our customers.Greystones is hiring a Fraud Analytics Manager to lead the delivery of fraud detection, identity theft, and first-party fraud analytics across modeling, simulation, operational reporting, data validation, and emerging risk analysis. The Manager will coordinate resources, priorities, deliverables, stakeholder engagement, quality assurance, and transition activities across the portfolio.The Fraud Analytics Manager will serve as a primary interface with Government leadership and Initiative Managers, ensuring analytical efforts remain aligned with operational priorities, filing season deadlines, production requirements, data quality, and long-term modernization objectives. The successful candidate will provide technical and analytical leadership while translating complex data and fraud-risk findings into actionable insights that support Government decision-making.

RemotePay starting at $130k

Benefits

• 401k
• 401(k) matching
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Retirement plan
• Vision insurance

Key Responsibilities

• Lead integrated workstreams supporting predictive models, filters, business rules, performance monitoring, and analytical pilots.
• Establish workplans, milestones, dependencies, staffing plans, quality gates, and escalation paths.
• Manage delivery of recurring operational reporting, model evaluations, ad-hoc analyses, and executive briefings.
• Ensure deliverables, analytical methods, assumptions, data dependencies, and limitations are sufficiently documented.
• Coordinate with IT resources and enterprise stakeholders on system changes, migrations, implementation testing, and production continuity.
• Review analytical findings for accuracy, operational relevance, and appropriate interpretation.
• Lead responses to emerging fraud schemes, anomalous activity, urgent leadership requests, and oversight inquiries.
• Manage risks involving data access, system dependencies, production releases, workload capacity, and filing-season timing.
• Oversee AI governance, documentation, transparency, and compliance artifacts.
• Coordinate knowledge transfer, desk guides, runbooks, and transition of capabilities to Government personnel.
• Mentor fellow senior and junior analysts and promote consistent analytical standards across the team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• This position requires candidates to obtain a Federal Public Trust Clearance.
• Being a US Citizen or a Lawful Permanent Resident is required when obtaining a Federal Public Trust Clearance.
• 8+ years leading complex analytics, compliance, risk, or data science programs.
• 3+ years supporting fraud analytics, identity theft, financial crime, compliance analytics, or comparable risk-detection programs.
• Experience managing multi-workstream efforts under operational or time-sensitive deadlines.
• Ability to communicate technical findings to executive, operational, technical, and Government audiences.
• Excellent knowledge of Python, SQL, Databricks, machine learning lifecycle management, and analytical reporting.
• Experience coordinating with IT, data engineering, production, and business stakeholders.
• Strong understanding of documentation, quality assurance, data protection, and transition requirements.

Greystones Group is an Equal Opportunity Employer.

Greystones complies with applicable federal, state, and local employment laws and does not discriminate against qualified individuals on the basis of race, color, religion, sex, national origin, disability, protected veteran status, genetic information, or any other status protected by applicable law.

Greystones Group is committed to providing equal employment opportunities to qualified individuals with disabilities and protected veterans in accordance with applicable federal requirements.

If you are a qualified individual with a disability or a protected veteran and require a reasonable accommodation to apply for a position or participate in the application process, please contact our Human Resources Department at, option #2, or.

Greystones Group participates in E-Verify.