Business group: Retail risk Analytics Team. Support risk stakeholders. Responsible for dev regulatory models.
Project: Retail risk regulatory models project.
The Retail Risk Analytics Engineering (RRAE) team supports various stakeholders Global Risk Management (GRM) - Risk Models and Analytics Team, Regulatory Capital, IFRS9 provisioning & Enterprise stress Testing team in the implementation of regulatory and non-regulatory initiatives, utilizing both hybrid approach.
The role will require to work on a project including implementation of new AIRB models for OSFI submission and also moving existing tech-stack to cloud.
Reason: New Project. In Development phase.
Candidate Value Proposition:
The successful candidate will gain experience with a top 5 Canadian bank on a dynamic and highly visible team. Will get an opportunity to work with to most recent cloud technologies.
Typical Day in Role:
Work with BAs to understand requirements and design solution
Provide hand-on development, optimizing and simplifying the codes and ensure code quality standards are met.
Unit test code changes & help BAs and stakeholders in debugging issues
Assist in task planning & estimation.
Assist with production implementation of changes
Candidate Requirements/Must Have Skills:
3-4 years of experience as Python developer
4 years of experience with SQL
2+ years of recent experience with GCP cloud
2+ years of Exp with Bitbucket and GIT
2 + years of Experience with scheduling tools like Airflow
Nice-To-Have Skills:
Previous exp with retail risk models is highly preferred
Experience with Docker, Kubernetes is nice to have
Previous recent experience with top 5 banks is highly preferred.
Soft Skills:
Strong analytical and problem-solving skills.
Ability to work independently with minimal supervision.
Ability to work with a cross functional Teams effectively
Strong communication skills
Proven ability to work with both external and internal stakeholders
Degrees or certifications:
Bachelor's degree or related work experience
Certified with GCP or Python is nice to have
Best vs. Average Candidate:
The ideal candidate would have experience with retail risk models and strong development skills with Python and Python libraries. Recent exp with GCP and Airflow experience
Candidate Review & Selection:
2 Rounds of interviews
o 1st- Video Interview (1 hour) with HM and technical development manager: Technical based questions based on previous experience. o 2nd (1 hour): Behavioral and Tech interview to gauge the team fit. Job Details 13709 Contract 1 year Toronto 51.00 CAD Recruiter Pranshu Gupta |