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 with a passion for innovation and community impact.
- Benefits: Enjoy health programs, flexible insurance, a generous pension plan, and employee share ownership.
- Other info: Work in a collaborative team with ongoing learning opportunities and a focus on personal growth.
- Why this job: Make a real difference in credit risk management and enhance your analytical skills in a supportive environment.
- Qualifications: Masters or PhD in relevant fields with 2-3 years of experience in quantitative model development.
The predicted salary is between 96444 - 117876 $ 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.
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.
Languages: English
Required skills: Analytical thinking, Artificial Intelligence, Business Acumen, Communication, Data pipeline, Data-Driven Decision-Making, Detail-oriented, Exploratory Data Analysis, Initiative, Learning Agility, Prioritization, Python, Resiliency, Self-Sufficiency, Teamwork.
Your benefits: Health and wellness program, including many options; Flexible group insurance; Generous pension plan; Employee Share Ownership Plan; Employee and family assistance program; Preferential banking services; Involvement in community initiatives; Telemedicine service; 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! Join us!
Senior Data Scientist Model Development and Validation in Richmond Hill employer: National Bank of Canada
At National Bank, we pride ourselves on being an excellent employer that fosters a dynamic and inclusive work culture. As a Senior Data Scientist in our Credit Risk Analytics team, you'll benefit from ongoing learning opportunities, a supportive environment, and a commitment to employee well-being through comprehensive health programs and flexible insurance options. Join us in making a positive impact while advancing your career in a collaborative setting that values your insights and contributions.