Develop and maintain Python-based components for the credit risk model lifecycle.
Re-engineering a model production engine from SAS to Python, ensuring accuracy and consistency.
Key areas of impact will include model implementation, production and monitoring as well as dashboards and reporting.
Collaborate with quantitative model developers to implement model logic and integrate it into production systems.
Optimize code for efficiency, scalability, and compliance with internal standards.
Design and implement automated workflows for data processing, testing, and deployment.
Ensure robust version control, documentation, and adherence to software development best practices.
Work closely with infrastructure and risk teams to support smooth implementation and delivery.
requirements-expected :
3+ years of experience in software development, data analytics, or related roles, preferably in financial services, banking, and/or credit risk.
Bachelor’s Degree or higher in a quantitative/technical field such as statistics, mathematics, computer science, data science, or engineering.
Strong proficiency in Python and experience building production-grade applications.
Solid understanding of SQL and relational databases.
Strong problem-solving skills and ability to work in cross-functional teams.
offered :
Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
Employee recognition programs that celebrate achievements and milestones for all.
