Fraud Data Analytics Lead (Senior Consultant, Data & Analytics)

Location: Fully remote within the United States; hirify.global is currently set up to hire residents of Alabama, California, Delaware, District of Columbia, Florida, Georgia, Maryland, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, and Virginia.

Salary: $120,588–$160,000 hiring range; overall position range $120,588–$195,955, plus a discretionary performance-based bonus.

Company

hirify.global is a digital integration consultancy combining technology, people, and organizational development to deliver data-driven solutions for state and federal customers.

What you will do

• Develop and maintain fraud analytics models for identity fraud, account takeover, synthetic identity fraud, and emerging fraud patterns.
• Analyze enrollment, registration, application, and investigative data to identify suspicious behavior and trends across federal partner ecosystems.
• Monitor entity resolution, social network analysis, unsupervised monitoring, anomaly behavior, and alert triggers.
• Collaborate with DevOps and SecOps to improve data infrastructure and operationalize analytics programs at scale.
• Build dashboards and reporting solutions for fraud metrics, alerts, trends, and operational performance.
• Conduct fraud risk assessments and develop mitigation strategies, escalation procedures, and response plans.

Requirements

• U.S. citizenship and the ability to obtain and maintain a Public Trust clearance are required.
• At least 10 years of experience in fraud analytics, program integrity, or related data analysis supporting federal programs.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent experience.
• Experience developing fraud detection models and analyzing suspicious activity and trends.
• Experience with SQL, Python, and analytics tools for querying and analyzing large datasets.
• Ability to translate program integrity requirements into technical solutions and explain complex findings to technical and non-technical stakeholders.

Nice to have

• Experience with Tableau for dynamic dashboards and reporting.
• Familiarity with relational and non-relational databases and database architecture.
• Knowledge of AI-related fraud threats and evolving technologies in identity verification and fraud prevention.

Culture & Benefits

• Remote work with flexible, life-friendly schedules and an emphasis on autonomy, coaching, equity, curiosity, and innovation.
• Medical HSA plan, HSA contributions, dental and vision coverage, and HMO/PPO options.
• 401(k) with a 4% match and immediate vesting.
• Paid parental leave, 12 weeks of paid FMLA, generous PTO, federal holidays, birthday holiday, sick leave, jury duty, and bereavement leave.
• Education, wellness, and technology allowances, plus performance-based bonuses and other insurance and support programs.
• Occasional travel to client sites or company meetings may be required.

Hiring process

• Introductory recruiter interview covering experience, skills, salary expectations, and role details.
• Role-specific technical assessment.
• Skills and business fit interview; some roles may also include customer interviews, background checks, and security clearance requirements.