Fraud Risk Manager

at  US Bank National Association

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 and enabling the communities we support to grow and succeed. 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 at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

JOB DESCRIPTION

The Fraud Risk Manager position works as a manager of individual contributors supporting the Fraud Strategy team. This role will lead a team of data analysts specializing in identity fraud detection with a focus on developing rules and completing analysis to identify and prevent fraud. Critical to the candidate’s success is strong analytical and SAS/SQL programming skills, fraud domain expertise and an in-depth knowledge on the techniques used to identify and mitigate fraud trends. The ideal candidate is an established people leader who has analytical, technical, and business experience within the fraud prevention and detection domain. The position relies on the individual to be an initiative-taker, to have a collaborative mindset, and to understand key business drivers and performance metrics as it relates to fraud rules.

Basic Qualifications

• Bachelor’s degree, or equivalent work experience
• Typically more than 10 years of applicable experienc

Preferred Skills/Experience

• Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field
• Extensive data analytics experience preferably in the financial services industry
• Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact Enterprise Fraud
• In-depth knowledge of fraud-related concepts and technology
• 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 reasonable 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
• Extensive experience in financial services products, systems, and data
• Ability to work well in a team environment, but also independently
• Ability to build cross-functional relationships, even in a remote environment
• Strong attention to detail and organizational abilities
• Ability to work with and influence at all levels of the organization, including with senior leadership
• SAS, SQL, R or Python experience
• Knowledge of financial services products, systems, and data preferably within the fraud domain
• Proficient computer skills, especially Microsoft Office applications and data analysis softwar

KEY RESPONSIBILITIES

• Lead a team of analysts who:
• Conduct root cause analysis on identity fraud trends
• Play an active role in daily, weekly, and monthly analysis of fraud rule performance
• Proactively and strategically lead efforts to identify new risks to monitor, source needed data, and provide actionable recommendations based on reported results, benchmarks, and discovered patterns.
• Perform analysis using SAS, SQL, R, Python, or similar programming languages to tie data from multiple sources together and identify emerging fraud trends.
• Perform ad hoc analysis to understand effectiveness of current fraud controls, recommend opportunities for enhancement, and take those opportunities from ideation to implementation.
• Ongoing pursuit of deep understanding of the fraud analytics landscape and technology used across the industry to identify untapped opportunities/potential in the analytics space.
• Lead analytical projects using analytical/statistical techniques and partner with key stakeholders around the organization.
• Offer subject matter expertise on data and fraud analysis techniques.

Basic Qualifications

• Bachelor’s degree, or equivalent work experience
• Typically more than 10 years of applicable experience

Preferred Skills/Experience

• Bachelor’s degree in Business, Finance, Computer Science, Business Analytics, Statistics, or another quantitative field
• Extensive data analytics experience preferably in the financial services industry
• Considerable knowledge of applicable laws, regulations, financial services, and regulatory trends that impact Enterprise Fraud
• In-depth knowledge of fraud-related concepts and technology
• 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 reasonable 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
• Extensive experience in financial services products, systems, and data
• Ability to work well in a team environment, but also independently
• Ability to build cross-functional relationships, even in a remote environment
• Strong attention to detail and organizational abilities
• Ability to work with and influence at all levels of the organization, including with senior leadership
• SAS, SQL, R or Python experience
• Knowledge of financial services products, systems, and data preferably within the fraud domain
• Proficient computer skills, especially Microsoft Office applications and data analysis software

The 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.

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That’s why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by la