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
Data Scientist Manager
U.S. Bank’s Credit Risk Administration (CRA) team is seeking a data science manager with leadership experience in a quantitative/technical field to lead a new team of model performance monitoring analysts within our Model Development & Decision Science (MDDS) team.
About the CRA Team
We are a highly dynamic and talented team which delivers on our mission through four pillars: Customer, Process, Talent, and Data.
Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers.
Mission | We deliver data-driven information solutions to protect our stakeholders and inform the most significant financial decisions in the bank.
Values | In addition to U.S. Bank core values, we prioritize collaboration, integrity, simplicity, and continuous learning.
About the Role
In this role, you will oversee a team of analysts responsible developing, maintaining, and executing processes to systematically track and report on the performance and stability of predictive models used by the Credit Risk Management business line. The ideal candidate will have strong leadership experience, a background in both programming and data analytics, a collaborative mindset, and a passion for problem solving.
Key Activities
Recruiting, hiring, and training new team members; conducting regular performance reviews and providing constructive feedback.
Overseeing the quarterly model monitoring process to assess the ongoing performance of predictive models and generate reports and dashboards to communicate results.
Reviewing and validating the team’s output to maintain high standards and alignment with internal and external requirements.
Identifying opportunities for streamlining and automating processes for data capture, quantitative testing, documentation, and visualization.
Collaborating with model development and implementation teams to execute common goals and maintain alignment in processes.
Mentoring and fostering an environment of continued learning and development for the team members.
Exploring the use of machine learning and AI to improve process efficiency.
Basic Qualifications
Bachelor’s Degree or higher in a quantitative field such as computer science, data science, mathematics, or statistics (Masters preferred);
6 or more years of experience in a data analytics, software development, or related role;
Industry experience in banking or financial services;
Demonstrated success building and leading teams of data scientists or analysts in similarly technical fields;
Programming experience in Python (pandas, NumPy, scikit-learn), SAS, R or similar statistical packages;
Strong analytical, organizational, problem-solving, and project management skills;
Effective interpersonal, verbal, and written communication skills.
Preferred Skills
Data visualization dashboard technologies such as PowerBI and Tableau
Automation using Bash/shell scripting
Microsoft Power Automate / Power Apps
Predictive model monitoring, implementation, validation and/or development
Machine learning algorithms
Git version control
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.
This position is not eligible for visa sponsorship.
#LI-LB1
#LI-Hybrid
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.
