U.S. Bancorp

1 week ago

Fraud Strategic Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Develop data-driven insights to strengthen fraud prevention, detection, and operational performance across deposits, payments, digital, authentication, and the end-to-end account lifecycle. Analyze multi-channel fraud trends to identify emerging risks and root causes, evaluate fraud control effectiveness with metrics and scenario analysis, and deliver executive-ready recommendations. Partner with internal stakeholders and the AI Center of Excellence to assess AI-enabled fraud use cases and prioritize initiatives through cost-benefit analysis.

Location: Warsaw

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

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 to strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency.
•Evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning.
•Partner with the AI Center of Excellence and Technology teams to assess AI-enabled fraud use cases and ensure alignment with fraud strategy, governance standards, and outcomes.
•Translate findings into executive-ready insights; evaluate fraud control effectiveness using metrics, scenario analysis, and model-adjacent analytics and recommend targeted enhancements.

Key Requirements

•Bachelor’s or Master’s degree, or equivalent work experience.
•7–10 years of experience in risk management activities.
•Experience analyzing fraud trends and performance data to identify emerging risks and root causes.
•Experience with SAS, SQL, R or Python for analytics and insights.
•Knowledge of financial services products, systems, and data, preferably within the fraud domain.

Experience:7-10 yearsFinancial servicesFraudRisk management

Education:Master's in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field

Skills:PresentationCommunicationInterpersonal skillsProblem solvingCritical thinking

Tech Stack:SASSQLRPythonMicrosoft OfficeAI/MLAnalytics platforms

Company Brief

U.S. Bancorp

U.S. Bancorp is the parent company of U.S. Bank, providing consumer, business, and institutional banking services including lending, payments, treasury management, wealth management, and merchant solutions across the United States.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

U.S. Bancorp

1 week ago

Fraud Strategic Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Warsaw

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

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 to strengthen fraud prevention and detection while balancing risk, customer experience, and operational efficiency.
•Evaluate new and existing tools, data sources, and capabilities that enhance fraud detection and decisioning.
•Partner with the AI Center of Excellence and Technology teams to assess AI-enabled fraud use cases and ensure alignment with fraud strategy, governance standards, and outcomes.
•Translate findings into executive-ready insights; evaluate fraud control effectiveness using metrics, scenario analysis, and model-adjacent analytics and recommend targeted enhancements.

Key Requirements

•Bachelor’s or Master’s degree, or equivalent work experience.
•7–10 years of experience in risk management activities.
•Experience analyzing fraud trends and performance data to identify emerging risks and root causes.
•Experience with SAS, SQL, R or Python for analytics and insights.
•Knowledge of financial services products, systems, and data, preferably within the fraud domain.

Experience:7-10 yearsFinancial servicesFraudRisk management

Education:Master's in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field

Skills:PresentationCommunicationInterpersonal skillsProblem solvingCritical thinking

Tech Stack:SASSQLRPythonMicrosoft OfficeAI/MLAnalytics platforms

Company Brief

U.S. Bancorp

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor