We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.
At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.
To learn more about CIBC, please visit CIBC.com
Job Description
What You’ll Be Doing
The Decision Science team is a central hub of data science and modeling 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 team is responsible for delivering predictive and prescriptive analytics to support the full data science lifecycle, by using cutting-edge techniques and latest advances in AI-ML tools to drive meaningful and actionable insights.
The Senior Consultant ensures that sound analytical methods and processes are followed and preditive models are built soundly. As a Senior Consultant you will apply your knowledge and experience of predictive advanced modelling to solve challenging business problems and bringing innovative solutions. This position pro-actively contributes to the portfolio management function in the area of model building, model governance and model performance monitoring. You’ll 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. The position will also act as a main point of contact for communicating effectively to Product Business partners requirements, questions and concerns related to all models and related model performance.
How You’ll Succeed
- 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 senior modelers to facilitate effective dissemination of model related documents and model governance and model performance to business partners.
- Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
- 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 datasets including both structured and unstructured data and related tools (e.g., SAS, 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 SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn.
- You’re a certified professional. You have current accreditation and good standing in Master or PhD in Mathematics, Statistics, Operational Research, Computer Science, Engineering, 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
At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:
- Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
- Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
- Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training
- Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
Please apply by: end of day on April 22, 2021
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 during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com
- 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-33 Yonge Street, 7th
Employment Type
Regular
Weekly Hours
37.5
