Developer – Model

2 weeks ago


Old Toronto, Ontario, Canada ProViso Staffing Full time

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


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