100 King Street West Toronto Ontario,M5X 1A1
You will participate in the design, development, and testing of quantitative abstraction frameworks for Credit Risk Forecasting Models. The successful candidate will contribute to a culture of innovation, collaboration, and continuous improvement while supporting and enhancing business-critical systems for the Bank's Credit Risk Reporting Disclosures. As an entry-level engineer, you will receive significant ongoing technical and business context training to fast-track your development as a Software Engineer. Further responsibilities include:
Experimenting with new technologies and assess their viability for existing or future use cases
Implementing business requirements for the calculation and measurement of Credit Risk measures
Collaborating with other developers to improve processes and project deliverables
Establishing partnerships with business partners in the Risk and Model Development teams
Automating existing manual processes
Establishing reliable DevOps and CI/CD Pipelines
Supporting System Integration and User Acceptance Testing activities through defect triage and remediation
Producing process and design documentation, where needed
Works independently on a range of complex tasks
QUALIFICATIONS:
Willingness to take calculated risks to improve team outcomes
Willingness to disrupt the status quo
Track record of self-motivation
Curious, detail-oriented disposition
Commitment to team success
Excellent Written/Verbal Communication skills
PREFERRED QUALIFICATIONS:
Degree in Mathematics, Computer Science, Economics, or related analytical field
- 0 - 2 Years experience in a Software Engineering or other development role
Experience programming with a modern programming language such as C++, Python, Java, Scala, R, Matlab, or similar.
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