Senior Analyst, Credit Risk Analytics

NBC; Richmond Hill; On-site; CAD 85,000 - 120,000; Full time

Job summary

A leading banking institution seeks a Senior Analyst in Credit Risk Analytics to drive A-IRB model implementation and credit data analytics. This role focuses on model development, stakeholder collaboration, and process improvement while offering a collaborative work environment with competitive benefits. Successful candidates will possess strong analytical skills and programming proficiency.

Benefits

Flexible benefits

Health programs

Employee share ownership

Community involvement

Wellness initiatives

Qualifications

• 2-3 years of professional experience in risk management.
• Proficiency in SAS, UNIX, Python, and data handling.
• Progression towards CFA and/or FRM is an asset.

Responsibilities

• Design and implement risk model processes efficiently in SAS.
• Conduct impact analyses for risk movements and model updates.
• Communicate effectively to ensure timely information delivery.

Skills

Analytical Skills

Risk Management

Data Analytics

Programming

Stakeholder Management

Education

Masters in Financial Engineering, Finance, Economics, Statistics, Mathematics, or Computer Science

Tools

SAS

Python

SQL

UNIX shell scripting

VBA

DataStage

Job description

As a Senior Analyst in the Credit Risk Analytics team at National Bank, you’ll be responsible for A-IRB model implementation, credit risk data analytics, and back-testing of credit risk models such as A-IRB, IFRS-9, and Economic Capital models. With strong programming and data analytics skills, experience in implementing large and complex systems, and knowledge in technology, credit risk modeling, and back-testing, you’ll positively impact NBC’s credit risk management by building efficient and robust risk processes and providing insightful analyses to senior management.

Your role :

• Understand risk model requirements, then design and implement risk model processes efficiently and reliably in SAS.
• Build unit tests, regression tests, and input/output quality control processes to ensure result accuracy.
• Serve as a bridge between business and IT teams with strong risk and technology knowledge.
• Identify, recommend, and implement process improvements.
• Investigate data observations to identify root causes.
• Conduct impact analyses for risk movements, model updates, data migration, and process changes.
• Coordinate risk production activities with upstream and downstream teams.
• Contribute to back-testing activities, including test development, result analysis, investigation, and reporting.
• Communicate effectively with stakeholders to ensure timely delivery of information.
• Support ad-hoc data analytics requests from senior management and regulators efficiently and accurately.

Your team

As part of the Credit Risk Analytics sector, you’ll be on a team of 22 colleagues, reporting to the Senior Manager. Our team specializes in model development, implementation, and risk reporting in IFRS-9, stress testing, and capital areas. Due to the nature of our processes, especially during month-end or quarter-end reporting, work may sometimes be under tight deadlines and pressure. We offer ongoing learning opportunities including coaching, hands-on training, and collaboration with colleagues across risk programming, data analytics, model development, and senior management presentation.

Prerequisites

• Masters in Financial Engineering, Finance, Economics, Statistics, Mathematics, or Computer Science.
• Progression towards CFA and/or FRM is an asset.
• SAS certification is an asset.
• 2-3 years of professional experience in risk management, with risk reporting and programming experience in Canada preferred.
• Experience in coding, operating, and maintaining production risk processes, managing large datasets.
• Experience with ETL, web services, performance tuning, and script automation.
• Proficiency in SAS, UNIX shell scripting, Python, VBA, SQL, and DataStage.
• Deep understanding of credit risk modeling and back-testing.
• Strong analytical skills for cause analysis and impact assessment.
• Excellent technical and business writing skills.
• Strong stakeholder management and influencing skills.
• Attention to detail with the ability to see the big picture.
• Ability to work under pressure and meet deadlines.
• Critical thinking, quick learning, and independence.

Skills

Artificial Intelligence, Diversity & Inclusion, Teamwork, Cybersecurity, Empathy, Initiative, Learning Agility, Resiliency

We offer competitive compensation, flexible benefits, including health programs, employee share ownership, assistance programs, banking services, community involvement, and wellness initiatives. Our work environment fosters collaboration and values employee feedback. We are committed to accessibility and inclusivity, welcoming all candidates and providing accommodations during the recruitment process.