Data Scientist / Model Performance Analyst Credit Risk

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.

U.S.
Bank's Credit Risk Administration (CRA) group is building a new team in Poland.
We are hiring mid-level and senior model performance analysts / data scientists with programming, data management, and quantitative skills to join our model implementation, production, and monitoring 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 | We prioritize collaboration, integrity, simplicity, and continuous learning.
About the Role In this role, you will be responsible for developing, optimizing, and executing processes to systematically track and generate insights on the performance and stability of predictive models used by the Credit Risk Management business line.
You will also partner with the model development team to support new model build projects.
The ideal candidate will have a strong background in both programming and quantitative data analytics, a collaborative mindset, and a passion for technical problem solving.
Key Activities

Designing, developing, optimizing, and running code/processes for model performance monitoring and report generation.
Analyzing model outcomes and trends in metrics like predictive accuracy and stability over time, identifying issues, and proposing adjustments or improvements.
Performing tests, interpreting results, and documenting outcomes in reports and data visualization dashboards.
Collaborating with model development and implementation teams to align data extracts and model execution logic between development, implementation, and monitoring.
Streamlining and automating processes for efficient data capture, quantitative testing, documentation, and visualization.
Writing process documentation and playbooks to support process consistency/continuity and knowledge transfer.
Partner with the model development team to support new model build projects.
Exploring the use of machine learning and AI to improve process efficiency.

Basic Qualifications

3 or more years of experience in a data analytics, software development, or related roles;
Bachelor's Degree or higher in a quantitative/technical field such as computer science, data science, statistics, or mathematics;
Programming experience in SAS, Python, R or similar statistical packages;
Experience in SQL query development;
Strong analytical, organizational, problem-solving, and project management skills;
Effective interpersonal, verbal, and written communication skills.

Preferred Skills

Experience in financial services, banking, and or credit risk;
Data visualization dashboard technologies such as PowerBI and Tableau;
Experience with cloud-based tools and infrastructure (Azure or AWS);
Automation using Bash/shell scripting;
Microsoft Power Automate / Power Apps;
Predictive model monitoring, implementation, validation and/or development;
Machine learning and/or AI techniques;
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 role is not open for visa sponsorship.
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.
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