Story Behind the Need:
• Business group: Global Risk Management (GRM)
• Provide a few sentences about what their OU does within the bank.
• Retail and Small Business Models, Analytics & Strategy (RMAS) develops and owns (end-to-end), the Bank’s Retail AIRB Capital Forecasting and Retail Decisioning Models (Originations, Account Management, Collections)
Project:
• Supports various core work and Regulatory/transformational projects
Candidate Value Proposition:
• You will report directly to a Director and be a critical member of a team overseeing the Bank’s Retail AIRB Capital Forecasting models, interpreting the results, and developing processes to support your stakeholders.
• You will support – from conception through execution and governance – models covering the Bank’s retail lines that contribute to the Bank’s financial statements.
• This role will support several critical core activities in the Capital models space, along with leading work efforts for critical Regulatory and transformational initiatives.
Typical Day in Role:
• You will collaborate, regularly, with a wide range of stakeholders and internal partners which may include Decisioning, Provisioning, Model Operations, Enterprise Stress Testing, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.
Candidate Requirements/Must-Have Skills(Please provide the years of experience required for each requirement):
• Strong fundamental understanding of statistics
• 10+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
• 5 or more years of experience with big data platforms/integration (Hadoop, Spark, Hive, Avro)
• Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
• Expert-level skills in Microsoft Office Suite (Excel, Word, PowerPoint, SharePoint, Teams and PowerBI)
• Knowledge and experience with credit risk models/scorecards
Nice-To-Have Skills:
• Proficiency in reading, writing, and speaking Spanish
• Experience developing credit risk models/scorecards
• Domain expertise with any retail & small business banking products and/or risk management practices
• Experience training and deploying machine learning models using common Python open-source frameworks (i.e., sci-kit-learn) and/or Python DevOps
Soft Skills Required:
• Strong English-language verbal and written communication skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
• Demonstrated track record in cultivating an environment that promotes collaboration, teamwork, and transparent communication, fostering a sense of value and engagement among team members
• Team, individual, and project leadership
• Proven expertise in project management, demonstrated by a consistent track record of identifying potential risks and proactively crafting mitigation strategies to ensure the successful and timely completion of projects
Best VS. Average Candidate:
• The Best candidate is someone with experience developing forecasting models (i.e. PD, LGD, EAD, etc.) and has proven track record of project delivery
Education & Certificates:
• Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
Candidate review and selection:
• 2 rounds of interviews:
o 1 – Senior Manager on manager’s team; 45min – 1 hour for behavioural, technical, critical thinking, logical questions etc.
o 2 – Hiring manager; 1 hour for behavioural, presentations, and case study
Job Details
12097
Contract
6 months
Toronto