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. 

As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. 

Job Description

This SAS/SQL/Python Enterprise Fraud Risk Analyst position will support entity resolution (“link analysis”) and the supporting fraud research tool for the Enterprise Fraud Strategy team.  This role requires partnership with the Enterprise Data Science team and engagement with the business lines to develop fraud mitigation strategies, evaluate emerging trends/attacks and protect against more complex orchestrated fraud.  Solution is driven by connecting seemingly unrelated activity and requires advanced data, behavioral and predictive analysis.  The ideal candidate is a self-starter who has analytical, technical, and business experience within the fraud prevention and detection domain.

Key Responsibilities

Collaborate with business lines to understand First/Third-Party fraud landscape, build an on-going gap assessment, and determine emerging internal/external trendsPartner with Enterprise Data Science to select, curate and transform large, complex data sets to support continued entity resolution and graph development (AI/ML techniques)Develop predictive fraud attributes and support integration within control environments.Develop policies and procedures used to evaluate and control for fraud riskLead analytical projects with an emphasis on fraud risk using advanced analytical/statistical techniques and partnering with key stakeholders around the organizationProactively and strategically lead efforts to identify new risks to monitor, source data needed, and provide actionable recommendations based on reported results, benchmarks, and discovered patternsAbility to support and drive agile delivery of enterprise fraud initiativesDevelop key reporting and on-going monitoring to track effectiveness of solutionMaintain and manage the metadata / relationships for all external and internal data sources that are critical to the fraud analytical solution

Basic Qualifications

Bachelor's or Masters’ degree, or equivalent work experienceSeven 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 requiredSAS, SQL, R or Python experienceExtensive data analytics experience preferably in the financial services industryKnowledge of financial services products, systems, and data preferably within the fraud domainProficient computer skills, especially Microsoft Office applications and data analysis softwareExcellent presentation, interpersonal, written, and verbal communication skillsExceptional problem solving, critical thinking, and troubleshooting skillsAbility to prioritize and manage multiple tasks, while establishing responsible deadlinesFlexibility in day-to-day work and tolerance for ambiguityPositive ‘can-do’ attitude and a strong desire to continue to learn and ask questionsThe ability to work well in a team environmentAbility to build relationships cross-functionally and over the phoneAbility to work with and influence at all levels of the organization, including with senior leadershipThe role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week 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.