CrawlJobs Logo
Briefcase Icon
Category Icon

Filters

×
Filters

No filters available for this job position.

Wholesale Credit Risk Business Analyst Jobs

Filters

No job offers found for the selected criteria.

Previous job offers may have expired. Please check back later or try different search criteria.

Explore rewarding Wholesale Credit Risk Business Analyst jobs, a critical nexus role within the financial services industry that bridges complex quantitative risk management with practical business technology solutions. Professionals in this field act as vital interpreters and project conductors, ensuring that sophisticated credit risk frameworks are accurately implemented and maintained within a bank's technological infrastructure. They are pivotal in safeguarding the institution's financial health by enabling robust stress testing and credit loss forecasting for wholesale lending portfolios, which include large corporate, commercial real estate, and institutional clients. A Wholesale Credit Risk Business Analyst typically serves as the key liaison between quantitative risk model developers, finance teams, and technology departments. Their core responsibility is to translate intricate regulatory and business requirements for credit risk models—such as those for CECL (Current Expected Credit Loss) or stress testing (CCAR, DFAST)—into clear, actionable functional specifications for technology teams. This involves a deep understanding of both the mathematical models and the downstream business processes they inform. Day-to-day tasks commonly encompass managing the entire software development lifecycle for risk systems, from initial scope definition and requirement documentation to coordinating development sprints, overseeing rigorous user acceptance testing (UAT), and providing ongoing production support. The role demands a hybrid skill set, blending analytical prowess with strong project management and communication abilities. On the quantitative side, analysts must comprehend fundamental banking credit risk concepts, probability of default (PD), loss given default (LGD), and exposure at default (EAD) methodologies. Technically, proficiency in data analysis tools like SQL for querying large datasets and Python for data validation and scripting is highly typical. On the business side, expertise in Agile methodologies, using tools like JIRA for workflow management, and exceptional stakeholder management skills are paramount. Successful candidates usually hold an advanced degree in a quantitative discipline such as finance, economics, mathematics, statistics, or engineering. For those seeking a career at the intersection of finance, data, and technology, Wholesale Credit Risk Business Analyst jobs offer a dynamic and impactful pathway. It is a profession suited for detail-oriented problem-solvers who can navigate regulatory complexity, drive strategic projects, and ensure that critical risk infrastructure operates with precision and reliability.

Filters

×
Countries
Category
Location
Work Mode
Salary