Enable job alerts via email!

Senior Analyst, Credit Risk Analytics

National Bank

Richmond Hill

On-site

CAD 85,000 - 110,000

Full time

19 days ago

Job summary

As a Senior Analyst in the Credit Risk Analytics team at a leading bank, you will oversee A-IRB model implementation and credit risk data analytics. Your expertise in risk modeling and programming will ensure the enhancement of credit risk management. This role demands strong analytical skills and offers opportunities for professional growth in a supportive environment.

Benefits

Health programs
Employee share ownership
Community involvement

Qualifications

  • Minimum 2-3 years of professional risk management experience.
  • Experience with ETL, web services, and automation scripting.
  • Hands-on experience with coding and maintaining enterprise-level risk processes.

Responsibilities

  • Design and implement the risk model process efficiently and reliably in SAS.
  • Build unit tests and ensure correctness through quality control processes.
  • Serve as a bridge between business and IT teams with strong knowledge in risk.

Skills

Analytical Skills
Risk Management
Programming
Data Analytics

Education

Master’s degree in Financial Engineering
CFA and/or FRM

Tools

SAS
SQL
Python
VBA
UNIX Shell Scripting
DataStage

Job description

As a Senior Analyst in the Credit Risk Analytics team at National Bank, you will 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. Your strong programming and data analytics skills, experience in implementing large and complex systems, and knowledge in technology, credit risk modeling, and back-testing will contribute to enhancing NBC’s credit risk management through building efficient processes and providing insightful analyses to senior management.

Your role:

  • Understand risk model requirements, then design and implement the risk model process efficiently and reliably in SAS.
  • Build unit tests, regression tests, and input/output quality control processes to ensure result correctness.
  • Serve as a bridge between business and IT teams with strong knowledge in both risk and technology.
  • Identify, recommend, and implement process improvements.
  • Conduct in-depth investigations on data observations and identify root causes.
  • Perform impact analysis for risk movements, model updates, data migration, and process changes.
  • Coordinate with upstream and downstream teams to plan risk production activities.
  • 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 accurately and efficiently.

Your team:

As part of the Credit Risk Analytics sector, you will join a team of 22 colleagues and report to the Senior Manager. Our team specializes in model development, implementation, and risk reporting in IFRS-9, stress testing, and capital management. Due to the nature of some processes related to 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, courses, and collaboration with colleagues with diverse expertise in risk programming, data analytics, model development, and senior management presentations.

Prerequisites:

  • Master’s degree in Financial Engineering, Finance, Economics, Statistics, Mathematics, or Computer Science.
  • Progress towards or completion of CFA and/or FRM is an asset.
  • SAS certification is an asset.
  • Minimum 2-3 years of professional risk management experience; prior risk reporting and programming experience in Canada is an asset.
  • Hands-on experience with coding, managing, and maintaining enterprise-level risk processes and large datasets.
  • Experience with ETL, web services, performance tuning, and automation scripting.
  • Proficiency in SAS, UNIX shell scripting, Python, VBA, SQL, and DataStage.
  • Deep understanding of credit risk modeling and back-testing.
  • Strong analytical skills to identify causes of risk changes and impacts on business strategies.
  • Excellent written communication skills for technical and business contexts.
  • Strong stakeholder and relationship management skills.
  • Attention to detail with the ability to see the big picture.
  • Ability to work under pressure and meet deadlines.
  • Critical thinking, fast learning, and ability to work independently with limited guidance.

In addition to competitive compensation, you will be eligible for a range of benefits promoting wellbeing for you and your family, including health programs, employee share ownership, assistance programs, banking services, community involvement, and wellness initiatives.

We foster a positive employee experience through dynamic environments and collaborative tools. We value employee feedback and encourage ongoing communication.

We're putting people first

Our bank is human-scale, known for its courage, entrepreneurial spirit, and passion for people. We aim to positively impact lives, guided by values of partnership, agility, and empowerment. Inclusivity is central to our workplace. We are committed to accessibility and welcome all candidates. If you require accommodation, please let us know during your initial contact with us. Join us and live your ambitions!

Create a job alert for this search

Analyst Credit • Richmond Hill, ON, Canada

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.