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Fraud Risk Analytics Manager

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Citizens Bank

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Location:
United States , Johnston ▼

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Category:
Finance

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Contract Type:
Not provided

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Salary:

105000.00 - 130000.00 USD / Year
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Job Description:

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entity‑level fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

Job Responsibility:

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entity‑level fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprise‑wide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and well‑governed
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and non‑technical audiences, influencing decision‑making at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Requirements:

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problem‑solving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity
  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including: Classification and regression techniques
  • Feature engineering
  • Model evaluation and performance monitoring

Nice to have:

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customer‑centric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Bachelor’s degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred
What we offer:
  • comprehensive medical, dental and vision coverage
  • retirement benefits
  • maternity/paternity leave
  • flexible work arrangements
  • education reimbursement
  • wellness programs

Additional Information:

Job Posted:
March 27, 2026

Employment Type:
Fulltime
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