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2 дня назад

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

120 588 - 195 955$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Fraud Data Analytics Lead (Fraud Detection/ML): Building and optimizing fraud analytics models, monitoring systems, dashboards, and response plans for state and federal program integrity initiatives with an accent on identity fraud, account takeover, synthetic identity, and evolving fraud threats. Focus on translating program requirements into scalable technical solutions, operationalizing analytics with DevOps and SecOps, and minimizing false positives through continuous model refinement.

Location: Fully remote, limited to U.S. residents in Alabama, California, Delaware, District of Columbia, Florida, Georgia, Maryland, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or West Virginia. U.S. Citizenship is required.

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

Company

hirify.global is a digital integration consultancy that combines technology, people, and organizational development to deliver user-focused solutions.

What you will do

  • Develop and maintain models detecting identity fraud, account takeover, synthetic identity fraud, and emerging fraud patterns.
  • Analyze enrollment, registration, application, and investigative data across federal partner ecosystems.
  • Monitor entity resolution, social network analysis, unsupervised monitoring, anomaly behavior, and alert triggers.
  • Operationalize fraud analytics at scale with DevOps and SecOps teams and integrate third-party fraud detection tools.
  • Build dashboards and reporting for KPIs, suspicious activity alerts, fraud trends, and operational metrics.
  • Conduct fraud risk assessments and develop mitigation strategies, escalation procedures, and response plans.

Requirements

  • 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.
  • Ability to obtain and maintain Public Trust clearance and U.S. Citizenship.
  • Experience developing fraud detection models and analyzing suspicious activity and trends.
  • Proficiency with SQL, Python, analytics tools, large datasets, and technical solution design.
  • Ability to communicate complex analytical findings to technical and non-technical stakeholders.

Nice to have

  • Experience with Tableau and other data visualization tools.
  • Familiarity with relational and non-relational databases and database architecture.
  • Knowledge of AI-related fraud threats and evolving identity verification technologies.

Culture & Benefits

  • Fully remote, flexible, family-friendly work environment with autonomy and coaching.
  • Medical HSA plan with full coverage and HSA contributions; dental and vision coverage for employees and dependents.
  • 401(k) with 4% match and immediate vesting.
  • Paid parental leave, 12 weeks paid FMLA, PTO, federal holidays, birthday holiday, and sick leave.
  • Education, wellness, and technology allowances, plus performance bonuses and referral bonuses.
  • Life insurance, disability coverage, legal support, pet insurance, and employee assistance program.

Hiring process

  • Introductory recruiter interview covering experience, skills, salary expectations, and the process.
  • Role-specific technical assessment.
  • Skills and business fit interview; customer interviews, background checks, and security clearance steps may also apply.

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