Credit Risk Model Operations Analyst

US Bank; Warszawa; Presencial; PLN 120.000 - 180.000; Jornada completa

Descripción de la vacante

U.S. Bank is seeking an Operational Analyst to support production deployment, monitoring, and maintenance of credit risk models used for loss forecasting and stress testing.

This role works with model development, technology, and business partners to drive automation, data-driven solutions, and improved operational processes across production environments. The ideal candidate has strong analytical and technical skills, experience in SAS and Python, and the ability to communicate complex concepts

Formación

• Bachelor's degree in a quantitative field.
• 3+ years of analytics or model operations experience.
• Proficiency in SAS for data manipulation and reporting.
• Proficiency in Python for data analysis and automation.
• Experience with large datasets and relational databases.

Responsabilidades

• Support production deployment of credit risk models, including testing and deployment.
• Run recurring model production tasks and deliver outputs and reports on time.
• Monitor model performance, stability and operational health.
• Investigate production issues and implement corrective actions.
• Develop SAS and Python programs for model execution, monitoring, and automation.
• Perform data quality checks on model inputs and outputs.
• Produce monitoring reports, dashboards, and governance documentation.
• Collaborate with model developers, data teams, and tech partners.
• Identify opportunities to streamline processes and reduce risk.
• Maintain documentation and controls for regulatory and audit compliance.

Conocimientos

SAS

Python

Analytical skills

Educación

Bachelor's degree in Statistics/Mathematics/Economics/Finance/CS/Data Science

Herramientas

SQL

Databricks

Power BI

Tableau

Descripción del empleo

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

We are seeking an Operational Analyst to support the execution, monitoring, and implementation of credit risk models used for loss forecasting and stress testing processes. This role is responsible for ensuring models are accurately implemented, executed, monitored, and maintained within production environments. The analyst will work closely with model development, technology, and business partners to support model operations (implementation, production and monitoring), process improvements, and automation initiatives.

The ideal candidate combines strong analytical and technical skills with an understanding of credit risk modeling concepts and a passion for improving operational processes through automation and data-driven solutions.

Responsibilities

• Support the implementation of credit risk models into production environments, including testing, validation, and deployment activities.
• Execute recurring model production runs and ensure timely delivery of model outputs and reporting.
• Monitor model performance, stability, and operational health through established monitoring processes and controls.
• Investigate production issues, analyze root causes, and partner with stakeholders to implement corrective actions.
• Develop and maintain SAS and Python programs used for model execution, monitoring, reporting, and automation.
• Perform data analysis and quality checks to ensure completeness and accuracy of model inputs and outputs.
• Produce monitoring reports, dashboards, and documentation supporting model governance and risk management requirements.
• Collaborate with model developers, implementation teams, data teams, and technology partners to support model lifecycle management.
• Identify opportunities to streamline processes, increase automation, and reduce operational risk.
• Maintain supporting documentation, procedures, and controls as evidence required for regulatory and audit compliance.

Requirements

• Knowledge of credit risk models used for loss forecasting, stress testing, CECL, ACL, CCAR, IFRS or related regulatory processes.
• Bachelor's degree in Statistics, Mathematics, Economics, Finance, Computer Science, Data Science, Engineering, or related quantitative discipline.
• 3+ years of experience in analytics, model operations, model implementation, credit risk management, or related field.
• Intermediate proficiency in SAS, including data manipulation, reporting, and automated processing.
• Intermediate proficiency in Python, including data analysis, automation, and scripting.
• Experience working with large datasets and relational databases.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.
• Strong organizational skills and attention to detail.

Optional

• Experience supporting model monitoring, model production, or model implementation activities.
• Familiarity with credit risk data and forecasting methodologies used in financial services.
• Experience with SQL, Databricks, Power BI, Tableau, or other reporting and visualization tools.
• Knowledge of model risk management, governance, and regulatory expectations.
• Experience with cloud-based tools and infrastructure (Azure Databricks preferred).

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,