Credit Data & Analytics Manager
Credit Data & Analytics Manager
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Job Description
At U.S. Bank were 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 oftenthats 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 atall from Day One.
Job Description
Credit Data & Analytics Manager
U.S. Banks Credit Risk Administration (CRA) team is seeking a Credit Data & Analytics Manager to lead a growing team
of data analytics professionals including both data scientists and reporting analysts.
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 lead a team of analysts that will collaborate with our U.S. based team on:
Managing ETL processes to pull cleanse and reconcile data centrally;
Designing and maintaining reporting solutions and dashboards that provide insights into credit data;
Monitoring and analyzing the performance of predictive models used in credit risk management;
Developing and maintaining models and processes used to generate forecasts of expected credit losses;
Developing automated solutions to support process re-engineering efforts
Managing select reporting processes including Data Visualization and reporting and deliverables
You will oversee the development of scalable automated processes for both advanced analytics and business
reporting ensuring high-quality outputs that support strategic decision-making.
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
Hire train and mentor a diverse team of data scientists and reporting analysts.
Overseeing the quarterly model monitoring process to assess the ongoing performance of predictive models and
generate reports and dashboards to communicate results.
Lead the development and maintenance of dashboards and reporting tools that provide transparency into credit
risk metrics and model outcomes.
Develop and deliver credit forecasting models
Manage ETL data load and reconciliation processes
Run select core reporting processes
Ensure quality control and compliance with internal standards and regulatory expectations.
Identify opportunities to streamline and automate data pipelines reporting workflows and documentation
processes.
Foster a culture of continuous learning innovation and cross-functional collaboration.
Basic Qualifications
Bachelors degree or higher in a quantitative or analytical field (e.g. Data Science Statistics Finance Computer
Science or related discipline); Masters preferred.
8 years of experience in data analytics or business intelligence roles.
Industry experience in banking or financial services.
Proven experience managing teams of data professionals including both technical and business-focused analysts.
Experience with data visualization reporting and analytics tools.
Strong analytical organizational problem-solving and project management skills.
Excellent communication skills and proven success in managing cross-team partnerships.
Experience with data visualization tools such as Power BI or Tableau.
Familiarity with Python R and/or SAS for data analysis and model monitoring.
Experience with automation tools (e.g. Power Automate/PowerApps/Robotic Process Automation shell
scripting).
Knowledge of credit risk modeling model validation or regulatory reporting.
Exposure to machine learning concepts and their application in financial services.
Understanding of version control systems like Git.
Location
The role offers a hybrid / flexible schedule which means theres 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.
If theres anything we can do to accommodate a disability during any portion of the application or hiring process please refer to ourdisability 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.
Required Experience:
Manager
Employment Type
Full Time
