About this role
Job Description
We are seeking an analyst to implement and productionize credit risk models and analytics solutions across global platforms. The role bridges model development, IT, and business teams, with a focus on implementation accuracy, production support, process modernization, and automation.
Position Qualifications
Education and Experience
- Bachelor’s degree in computer science, data science, information systems, engineering, or a related field; master’s degree preferred.
- 3+ years of experience in credit risk analytics, model implementation, or analytics solutions integration.
Technical Skills
- Strong programming skills in SAS / python / R or any programming knowledge
- Basic understanding of credit risk concepts and IFRS 9/CECL, including PD, LGD, EAD, and ECL.
- Exposure to data validation, testing, reconciliation, impact analysis, and productionizing analytical models.
- Familiarity with model risk management, governance, Linux, and relational databases.
- Exposure to GCP, mainframe systems, SAS Real-Time Decision Manager, and AI/agentic tools is an advantage.
Soft Skills and Personal Attributes
- Strong analytical, problem-solving, and communication skills.
- Ownership of deliverables, attention to detail, and commitment to quality.
- Ability to work independently and collaborate with global, cross-functional teams.
- Adaptability, curiosity, and a continuous-improvement mindset.