Manager, IFRS 9 Modelling - Enterprise Stress Testing
Toronto, ON, CA, M5H1H1
Scotiabank
Requisition ID: 216580
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As Manager, IFRS 9 Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.
What you’ll do in this role?
You will report directly to a Senior Manager or Director and be a critical member of the team overseeing the forward-looking probability of default (PD) and loss given default (LGD) models used to estimate credit risk for retail lending products. With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we update models and methodology in conjunction with the role-out of Basel III capital models. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.
Job Responsibilities:
• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
• Develops credit risk models for the retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
• Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation
• Supports the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
• Works with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
• Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
• Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct
Job Requirements:
• Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
• Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
• Experience with Python or R including data processing with pandas or dplyr
• Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
• The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
• Experience with Linux or UNIX systems and version control software such as Git is required
• Domain expertise in retail credit risk and IFRS 9
• Experience with pyspark or sparklyr for data wrangling
• Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization
• Power user of Microsoft Office (Excel, Word, PowerPoint)
What's in it for you?
- We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
- An inclusive working environment that encourages creativity, curiosity, and celebrates success!
- A rewarding career path with diverse opportunities for professional development
- Internal training to support your growth and enhance your skills
- Hybrid Work Environment
- A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Credit risk Data visualization Economics Engineering Excel Finance ggplot2 Git Linux Machine Learning Mathematics Matplotlib ML models Open Source Pandas Physics Plotly PySpark Python R Seaborn Statistics Testing
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