Fraud Strategic Data Analyst

U.S. Bank; Warszawa; On-site; PLN 219,138 - 292,184; Full time

Benefits offered by this job

Performance-based incentives

Continuous development opportunities

Inclusive equitable benefits

Employee recognition programs

Job summary

U.S. Bank is seeking a Fraud Strategic Data Analyst to develop data-driven strategies for fraud prevention and detection. The ideal candidate will analyze complex fraud trends and work with stakeholders to enhance fraud detection capabilities.

The role requires significant experience in risk management and data analytics, along with a strong commitment to collaboration and effective communication. This position offers a dynamic work environment with a focus on continuous development.

Qualifications

• Seven to ten years of experience in risk management activities.
• Extensive data analytics experience preferably in the financial services industry.

Responsibilities

• Analyze fraud trends and performance data to identify risks.
• Develop insights to strengthen fraud prevention and detection.
• Collaborate with stakeholders and partners for effective fraud detection.

Skills

Analytical Skills

Communication Skills

Problem Solving

Data Analysis Software

Team Collaboration

Risk Management

Education

Bachelor's or Master's degree

Tools

SAS

SQL

R

Python

Microsoft Office

Job description

Fraud Strategic Data Analyst

The Fraud Strategic Data Analyst develops data‑driven insights and strategies that strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and the end‑to‑end account lifecycle. This role combines advanced analytics, strategic problem‑solving, and cross‑functional collaboration to identify emerging fraud risks, uncover root causes, and support proactive loss mitigation.

Key Responsibilities

• Analyze complex, multi‑channel fraud trends and performance data to identify emerging risks, root causes, and opportunities for proactive loss mitigation across the account lifecycle.
• Develop data‑driven insights and strategic recommendations that strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency.
• Collaborate with a broad range of internal stakeholders and external partners to evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning.
• Partner with the AI Center of Excellence (AI CoE) and Technology teams to evaluate, prioritize, and assess AI‑enabled fraud use cases, ensuring alignment with fraud strategy, governance standards, and measurable business outcomes.
• Translate complex analytical findings into clear, executive‑ready insights that inform enterprise fraud strategy, prioritization, and decision‑making.
• Evaluate the effectiveness of fraud controls and initiatives using key metrics, scenario analysis, and model‑adjacent analytics; identify control gaps and recommend targeted enhancements.
• Drive value‑led prioritization through cost‑benefit analysis, focusing resources on initiatives that deliver the greatest fraud risk reduction and business value while adhering to regulatory and internal control requirements.

Additional Expectations

• Utilize approved AI tools, analytics platforms, and digital solutions to improve efficiency, accuracy, and productivity, applying sound judgment to validate outputs and ensure responsible, ethical, and compliant use.
• Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures.

Basic Qualifications

• Bachelor's or Masters’ degree, or equivalent work experience
• Seven to ten years of experience in risk management activities

Preferred Skills/Experience

• Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field
• SAS, SQL, R or Python experience
• Extensive data analytics experience preferably in the financial services industry
• Knowledge of financial services products, systems, and data preferably within the fraud domain
• Proficient computer skills, especially Microsoft Office applications and data analysis software
• Excellent presentation, interpersonal, written, and verbal communication skills
• Exceptional problem solving, critical thinking, and troubleshooting skills
• Ability to prioritize and manage multiple tasks, while establishing responsible deadlines
• Flexibility in day‑to‑day work and tolerance for ambiguity
• Positive ‘can‑do’ attitude and a strong desire to continue to learn and ask questions
• The ability to work well in a team environment
• Ability to build relationships cross‑functionally and over the phone
• Ability to work with and influence at all levels of the organization, including with senior leadership
• Deep understanding of fraud schemes, digital identity, authentication, and operational fraud processes
• Ability to translate analytical findings into clear business recommendations for senior leadership
• Experience supporting AI/ML‑driven fraud initiatives preferred

This role requires working from a U.S. Bank location three (3) or more days per week.

Accessibility

We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.

Total Rewards

• Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
• Performance‑based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
• Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness.
• Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
• Employee recognition programs that celebrate achievements and milestones for all.