Identity & Fraud Prevention Specialist

3 dni temu

Warszawa, Mazovia, Polska U.S. Bank Pełny etat 60 000 USD - 120 000 USD rocznie

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that's what we call the courage to thrive.   We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One. 

Job Description

We are seeking a highly analytical and strategic professional to join our fraud risk team as a Identity & Fraud Prevention Specialist. This role is central to evaluating identity fraud threats and shaping the effectiveness of fraud mitigation strategies across the organization.

You will work at the intersection of data analytics, financial modeling, and vendor performance management—supporting initiatives that reduce fraud losses, optimize operational costs, and enhance customer trust. This is a high-impact role suited for someone who thrives in complex environments and enjoys translating data into actionable insights.

Key Responsibilities:

  • Analyze fraud patterns across First Party, Third Party, Account Takeover, and Account Origination scenarios
  • Develop cost-benefit models to assess fraud mitigation tools and strategies
  • Lead post-implementation reviews to validate financial and operational performance of fraud controls
  • Collaborate with vendor management teams to evaluate contracts, reconcile invoices, and forecast budget impacts
  • Prepare executive-level presentations and reports to support strategic decision-making
  • Support model risk governance and ensure compliance with internal and regulatory standards
  • Use advanced data tools (SAS, SQL, Python, R) to conduct ad hoc analysis and synthesize insights from multiple sources

Qualifications:

  • Bachelor's degree in Finance, Economics, Data Science, or related field
  • 5+ years of experience in fraud risk, financial crime, or data-driven strategy roles
  • Strong command of financial modeling, forecasting, and cost-benefit analysis
  • Proficiency in data analysis tools (SAS, SQL, Python, R preferred)
  • Proficiency in data analysis tools (Required: SAS, SQL; Preferred: Python, R)
  • Experience working with cross-functional teams and external vendors
  • Excellent communication skills, with the ability to present complex findings clearly
  • Ability to work independently in a fast-paced, ambiguous environment

Preferred Qualifications:

  • Experience in banking or financial services
  • Familiarity with fraud prevention infrastructure and regulatory frameworks
  • Exposure to vendor governance and contract evaluation processes

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week (14:00-22:00) and the flexibility to work outside the office location for the other days.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

We offer an exciting, fast-paced and diverse working environment with employees of many different nationalities. We provide benefits to help you protect your health and financial security; and give you peace of mind. We also invest in your career growth with development resources that give you the opportunity to stretch and shine.

Posting may be closed earlier due to high volume of applicants.

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