Senior Data Scientist Model Developement and Validation

As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well as IFRS 9 reporting and analytics. This role will also need to support other closely related risk functions that includes RWA, Economic Capital and stress testing. With your experience in credit risk modeling, strong analytical skills, and knowledge of IFRS 9 and regulatory requirements, you’ll have a positive impact on NBC’s credit risk management through building advanced models, efficient and robust risk processes and providing insightful analyses to our senior management.

Your role: 

• Develop and recalibrate IFRS 9 and stress testing models for the Bank’s wholesale and retail portfolios. Document the data selection, modeling techniques and implementation.
• Conduct model backtesting, monitor model performance and propose appropriate model actions when necessary.
• Keep abreast of up-to-date modeling methodologies, tools and regulatory requirements.
• Conduct IFRS 9 ECL impact assessment for parameter recalibration, economic scenario change, model updates, data migration and process changes. 
• Work with IFRS 9 production team to implement and test IFRS 9 model changes.
• Validate the process inputs and outputs for quality control and governance.
• Collaborate with Model Validation, Model Governance, Audit by preparing supporting materials, addressing questions and concerns, and ensuring IFRS 9 model changes are appropriately documented and understood.
• Provide in-depth analysis on IFRS 9 results and identify key drivers for ECL movements.
• Provide support for ad-hoc requests required by IFRS 9 stakeholders and senior management in a precise and efficient manner.
• Contribute to strategic risk initiatives by usinganalytical skills to project potential losses and make recommendations to limit risk.
• Demonstrate insight into internal client's business and develop innovative solutions that create value.

Your team: 

As part of the Credit Risk Analytics sector, you’ll be on a team of 24 of colleagues and you’ll report to the Senior Director – Analytics. Our team stands out for expertise in model development, model implementation and risk reporting in IFRS 9, stress testing and capital areas. As some processes are part of the Bank’s month-end or quarter-end reporting to the public or to the regulators, we may work under tight deadline and pressure sometimes.

We offer a wide range of ongoing learning opportunities for your development, including coaching, hands-on learning, training courses and through the collaborating with colleagues who have varied expertise and profiles such as in-depth data analytics, model development, risk programming and presentation to senior management.

Prerequisites:

• Masters or PhDs in a relevant field such as Financial Engineering, Finance, Economics, Statistics, Mathematics, Computer Science and Data Science.
• Minimum 2-3 years of professional experience in quantitative model development or validation for retail or wholesale credit risk.
• Hands-on experience in managing, reconciling, and interpreting large and complex enterprise level data sets.
• Knowledge with IFRS 9 and regulatory requirements.
• Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
• Excellent analytical skills to identify the causes of risk changes and impact to business and strategy.
• Ability to effectively communicate the analysis and explain the results in a simple and concise way.
• Strong attention to details and the ability to understand the big picture.
• Demonstrated ability to work under pressure and tight deadline.
• Exceptional critical thinking skills, learning skills and ability to work independently with limited guidance.
• Completion or progression in CFA and/or FRM would be an asset.
• Completion of SAS certification would be an asset.
• Completion of SAS certification would be an asset.