Senior Data Scientist Model Development and Validation in Toronto

Senior Data Scientist Model Development and Validation in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) Hybrid
B

At a Glance

  • Tasks: Develop and validate advanced credit risk models while collaborating with a dynamic analytics team.
  • Company: Join National Bank, a people-first organization that values innovation and collaboration.
  • Benefits: Enjoy competitive pay, flexible benefits, wellness programs, and opportunities for professional growth.
  • Other info: Be part of a diverse team that encourages feedback and values your unique contributions.
  • Why this job: Make a real impact on credit risk management and enhance your analytical skills in a supportive environment.
  • Qualifications: Masters or PhD in relevant fields with experience in quantitative model development.

The predicted salary is between 121500 - 148500 $ per year.

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 include 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 using analytical 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 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 deadlines and pressure sometimes.

We offer a wide range of ongoing learning opportunities for your development, including coaching, hands-on learning, training courses and 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 of 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 detail and the ability to understand the big picture.
  • Demonstrated ability to work under pressure and tight deadlines.
  • 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.

In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: Health and wellness program, including many options; Employee Share Ownership Plan; Employee and family assistance program; Preferential banking services; Involvement in community initiatives; Virtual sleep clinic.

We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment, we’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees. We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates!

What can you bring to our team?

Why work at National Bank?

There are many varied opportunities for you to progress and develop, and move ahead in your career. This includes on-the-job learning and training, co-development and pairing with other employees, professional support and mentoring, internal career days or discussion forums with our leaders.

For an inclusive and diverse environment:

We foster inclusion in an environment where each person’s unique qualities, whether visible or invisible, are celebrated and valued. We welcome all candidates!

Senior Data Scientist Model Development and Validation in Toronto employer: Banque Nationale du Canada

At National Bank of Canada, we pride ourselves on fostering a dynamic work culture that prioritizes employee growth and collaboration. As a Senior Advisor in Consumer Protection Compliance, you will benefit from a hybrid work arrangement, allowing for flexibility while engaging with senior leadership and shaping our compliance framework. Our commitment to regulatory excellence and risk management ensures that you will be part of a team that values your expertise and encourages meaningful contributions.

B

Contact Details:

Banque Nationale du Canada Recruitment Team

We think you need these skills to ace Senior Data Scientist Model Development and Validation in Toronto

Credit Risk Modeling
IFRS 9 Knowledge
Analytical Skills
Model Development
Performance Monitoring
Data Analysis
SAS