Credit Data & Analytics Manager
Warsaw, Poland
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U.S. Bank
Experience personalized banking services for your unique needs with U.S. Bank - Checking, credit cards, home loans & convenient online banking. Member FDIC.At U.S. Bank, weāre 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. Ā 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 atāall from Day One.
Job Description
Credit Data & Analytics Manager
U.S. Bankās 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
Bachelorās degree or higher in a quantitative or analytical field (e.g., Data Science, Statistics, Finance, Computer
Science, or related discipline); Masterās 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 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.
If thereās anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourĀ disability accommodations for applicants.
Benefits:Ā
Our approach to benefits and total rewards considers our team membersā 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 law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theĀ E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: zÅ329Ā 885,00 - zÅ388Ā 100,00U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Banking Business Intelligence Computer Science Credit risk Data analysis Data Analytics Data pipelines Data visualization Engineering ETL Excel Finance Git Machine Learning Pipelines Power BI Python R Robotics RPA SAS Security Shell scripting Statistics Tableau
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Transparency
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