Credit Risk Insights Analyst

US Bank; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

U.S. Bank seeks an experienced data reporting professional to redesign and transform credit risk data and reporting processes.

You will create and maintain Power BI dashboards, automate recurring tasks with Power Automate, and integrate data from multiple sources using SQL and Python. You will partner with risk managers, line of business, and data teams to deliver timely, accurate risk reports across wholesale and retail portfolios.

Qualifications

• Bachelor's degree in Mathematics, Computer Science, Economics, Statistics, Business, or equivalent.
• 4+ years of applicable experience in data analytics or reporting.
• Proven ability to design and develop Power BI dashboards that visualize data effectively.
• Strong SQL skills for data extraction, transformation, and analysis.
• Strong written and verbal communication skills.

Responsibilities

• Design, develop, and automate reporting processes using Microsoft Power Platform for credit risk management.
• Build and maintain Power BI dashboards for wholesale and retail portfolios.
• Develop ETL processes to extract, cleanse, and reconcile risk data.
• Run weekly, month-end, and quarterly data and reporting cycles with accuracy.
• Collaborate with risk managers, technology, and data teams to align data and logic.
• Automate workflows for data capture, testing, documentation, and visualization.
• Create documentation and playbooks to promote consistency and knowledge sharing.
• Explore ML/AI techniques to enhance efficiency and decision making.

Skills

Power BI dashboards

SQL queries

Analytical thinking

Collaboration

Communication

Education

Bachelor's degree

Tools

Power Platform

Power Automate

Power Apps

Python

SQL

Job description

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.

We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation.

We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.

Job Description

About the Role

In this role, you will support and help to redesign and transform various wholesale and retail credit risk data and reporting processes to support risk managers, model developers and business lines. You will work with internal customers to ensure their data and reporting needs are met with accuracy, efficiency, and timeliness.

Responsibilities will be split between standardized reporting deliverables and project work to enhance data, reporting capabilities, and process improvement. This will include creating and maintaining Power BI dashboards, automating and simplifying recurring processes using Power Automate/Apps, and conducting data research projects by aggregating, integrating, or reassembling information from a variety of data sources and systems by writing database queries in SQL, Python, or other database query languages.

You will partner with risk managers, line of business, and data teams to create, implement, maintain, and review the bank's wholesale credit reports.

Your responsibilities

• Design, develop and automate the reporting processes using Microsoft Power Platform to support credit risk management
• Develop and maintain an effective relationship with credit portfolio risk managers to design and support credit risk reports across wholesale and retail loan portfolios
• Design and develop ETL processes to extract, cleanse, and reconcile credit risk data
• Run weekly, month-end, and quarterly data and reporting processes, ensuring timely and accurate delivery of reports
• Collaborate with development and implementation teams to ensure alignment of data and execution logic
• Automate workflows for data capture, testing, documentation, and visualization
• Create comprehensive documentation and playbooks to promote process consistency and knowledge sharing
• Explore and apply machine learning (ML) and artificial intelligence (AI) techniques to enhance process efficiency
• Communicate insights and recommendations to risk managers to support strategic decision-making

Our requirements

• Bachelor's degree in an appropriate field (Mathematics, Computer Science, Economics, Statistics, Business) or equivalent work experience
• More than four years of applicable experience
• Demonstrated ability to design and develop interactive Power BI dashboards that effectively visualize and communicate data
• Proven proficiency in writing and optimizing SQL queries for data extraction, transformation, and analysis
• Strong analytical thinking, problem-solving and decision-making skills
• Ability to collaborate and communicate effectively across teams, which includes risk managers, technology and data management teams
• Strong verbal and written communication skills

Optional

• Knowledge of credit risk management concepts in retail or wholesale lending
• Experience using Power Automate flows and building Power Apps
• Experience building complex dashboards and storytelling with data using BI platforms
• Experience using Python or equivalent programming language
• Experience in process re-engineering

This role requires working from a U.S. Bank location three (3) or more days per week.

Accessibility

We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.

Total Rewards

U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Ou