About the role
AI summarisedThis is an AVP-level Credit System Analyst role within the Consumer Credit Risk-Systems and Projects team at a major bank. The role involves supporting the deployment of credit decisioning systems, including those incorporating machine learning models, and requires strong technical proficiency in Python, microservices architecture, and automated testing. The position sits within Group Risk Management, which focuses on protecting and driving the business through best-in-class risk practices.
BusinessFull-timeGeneral
Key Responsibilities
Responsibilities were not listed in the extracted data for this post.
Requirements
- Degree with substantial quantitative and/or programming content
- Minimum 5 years of relevant experience in the financial services industry, with strong exposure to project management and application development
- Prior experience supporting the deployment of credit decisioning systems, preferably incorporating machine learning models
- Strong technical proficiency in Python programming
- Strong technical proficiency in Microservices architecture
- Strong technical proficiency in Automated testing frameworks and solutions
- Working experience using FICO BLAZE and ACCELQ is an advantage
- Strong analytical, problem-solving, and stakeholder management skills, with the ability to operate effectively across business and technology teams