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Data Scientist, Credit Risk Modeling
2 months ago
We are seeking a highly skilled Data Scientist to join our team at BMO, where you will play a key role in supporting various data science projects, including the development and maintenance of origination, portfolio risk management, and collection models/strategies for Canadian Personal & Business Banking small business portfolios.
Key Responsibilities- Develop and maintain data science models and tools to support risk management and monitoring
- Collaborate with senior managers to develop machine learning solutions for risk management and monitoring
- Apply mathematical and statistical methods to financial and risk management problems
- Conduct research and create tools that use data to develop scenario-based planning and implement complex mathematical models to help the business make better financial decisions
- Develop pricing and quantitative risk models for assigned portfolios
- Support the development and maintenance of machine learning statistical and/or other scoring and forecasting models and tools
- Work with risk and lines of business teams to develop analytic solutions, ad-hoc analysis, and modeling to drive new initiatives, improve business processes, and deliver value using data-driven decisions
- Monitor risk in strategies and portfolios
- Design, develop, and maintain code used for data engineering and data science tasks
- Support the delivery and enhancement of regularly scheduled reporting packages for models and/or credit risk strategic initiatives
- Degree in Statistics, Mathematics, Actuarial Science, Engineering, Operations Research, or another highly quantitative field with a track record of academic excellence
- At least 2 years' experience with developing data science and data engineering solutions
- Understanding of credit risk concepts is an asset
- Knowledge of various statistical software skills, including SAS, R, Python, etc.
- Advanced programming skills, proficiency with programming languages such as R, SAS, Python, or SQL, and a high level of familiarity with Microsoft Office tools
- Strong project management skills with the ability to manage multiple assignments effectively
- Understanding of risk management concepts, including Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD), etc.
- Experience developing data science models and solutions
- Experience working with big data
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data science and risk management, we encourage you to apply for this exciting opportunity.
