Job Description

Were building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing whats right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit



What youll be doing

The Decision Science team is a central hub of data science expertise within Personal and Business Banking, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms to truly revolutionize personalization to drive client experience. The Senior Data Scientist ensures that sound analytical methods and processes are followed and predictive models are built on sound data samples. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve a wide range of challenging business problems and bring innovative solutions. This position pro-actively contributes to the portfolio management function in the area of model design, model building, model governance and model performance monitoring and other analysis to help optimize the effectiveness and profitability of projects, marketing campaigns, pricing, optimization, contracts and other business decisions across our products. Youll interact with groups across the organization from Products, Segments, Marketing to Channels and Risk. You will work with structured and unstructured data to produce end-to-end solutions, taking models from experiment to deployment.

At CIBC we enable the work environment most optimal for you to thrive in your role. Youll have the flexibility to manage your work activities within a hybrid work arrangement where youll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How youll succeed

• Data Science Expertise: Provide advanced analytics solutions to solve business problems by leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
• Modeler: Participate in model development by conducting detailed quantitative analysis work to support the model development. Support deploying statistics and machine learning models in development and production environments. Work closely with other senior modelers to facilitate effective dissemination of model related documents and model governance and model performance to business partners.
• Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
• Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients changing needs

Who you are

• You can demonstrate experience in working with large multivariate datasets including both structured and unstructured data and related tools (e.g., SQL, Spark). Must have experience coding in high level programming languages such as SAS, R or Python. Must have experience coding with data modelling packages in SAS EG and Enterprise Miner. Experience with MS Office and Tableau is an asset.
• Youre a certified professional. You have current accreditation and a Masters or PhD in Computer Science, Engineering, Mathematics, Statistics, Machine Learning, Operational Research, Physics, Economics or related quantitative field.
• You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
• You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
• You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
• Values matter to you. You bring your real self to work and you live our values - trust, teamwork and accountability.

What CIBC Offers

What CIBC offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact

You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

Job Location Toronto-81 Bay, 25th Floor

Employment Type Regular

Weekly Hours 37.5

Skills

Big Data, Business Problems, Data Modeling, Machine Learning, Predictive Modeling, Python (Programming Language)

CIBC