Senior Fraud Analytics & Risk Specialist

Usbank; Minneapolis (MN); On-site; USD 105,000 - 124,000; Full time

Job summary

U.S. Bank is seeking a Fraud Analytics Risk Analyst to support Enterprise Fraud Risk with data-driven analysis of losses, claims, and operational data.

You will provide independent risk oversight and credible challenge to fraud strategies, with governance and transparent methodologies across Databricks and cloud platforms. The role requires a strong background in analytics, SQL/Python, and data visualization, plus experience handling unstructured data and regulatory environments.

Qualifications

• Bachelor's degree, or equivalent work experience.
• Typical six+ years of applicable experience.
• Bachelor’s degree in a quantitative field, or equivalent work experience.
• Four or more years of experience in analytics, risk management, fraud, financial crimes, or a related field.
• Experience querying relational databases and working with large data sets from multiple sources.
• Proficiency in at least one analytical language or platform (SAS, SQL, Python, R, or similar).
• Strong written and verbal communication skills, including presenting findings to a business audience.
• Experience with fraud, scams, payments, claims, complaints, or operational risk data in financial services.
• Experience working with unstructured or free-text data and building categorization logic.
• Experience providing credible challenge or independent risk oversight.
• Experience with Power BI, Tableau, or similar visualization tools; interest in Databricks and cloud analytics platforms.
• Comfort using AI tools such as Microsoft Copilot within an analytical workflow.
• Familiarity with regulatory, audit, or governance environments.

Responsibilities

• Perform independent, data-driven analyses of fraud losses, claims, complaints, alerts, operational data, and other risk indicators to identify root causes, control gaps, emerging fraud risks, and customer impacts.
• Provide effective second-line credible challenge to business line fraud strategies, detection rules, controls, processes, and performance reporting through analytical deep dives and independent assessments.
• Develop independent benchmarks, thresholds, segmentation frameworks, key risk indicators, and trend analyses to assess changes in fraud exposure, control effectiveness, customer outcomes, and loss performance.
• Design and maintain transparent, repeatable, and auditable analytical methodologies, monitoring frameworks, and governance processes that can be independently validated, refreshed, and reproduced as new data becomes available.
• Proactively identify emerging fraud threats, control weaknesses, and monitoring opportunities by sourcing and analyzing relevant data assets, developing actionable insights, and recommending risk mitigation actions to business and risk management stakeholders.
• Assess the fraud risk implications of significant business, product, strategy, model, vendor, and technology changes through independent impact analyses and provide risk-based recommendations
• Support strategic data and cloud modernization initiatives involving fraud analytics, monitoring solutions, reporting assets, and analytical controls, including migration to Databricks, Azure, cloud data platforms, and enterprise data domains.

Skills

SQL

Python

Power BI

Tableau

Data visualization

Fraud analytics

Risk oversight

Unstructured data

AI tools

Regulatory knowledge

Education

Bachelor's degree

Quantitative field

Tools

Databricks

Azure

Job description

U.S. Bank is seeking a Fraud Analytics Risk Analyst to support Enterprise Fraud Risk with data-driven analysis of losses, claims, and operational data.

You will provide independent risk oversight and credible challenge to fraud strategies, with governance and transparent methodologies across Databricks and cloud platforms. The role requires a strong background in analytics, SQL/Python, and data visualization, plus experience handling unstructured data and regulatory environments.