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 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 CIBC.com

The Advanced Analytics and AI team is the central hub of data science and AI expertise within CIBC, and is leading the way to apply the best practices in predictive science, machine learning, artificial intelligence and leverage the latest in big data technology platforms. We also engage with the leading academic & research institutes in the space of AI and machine learning to promote the exchange of latest technology developments and enrich our talents. 

Reporting into the Sr. Director, Advanced Analytics & AI, this role is responsible for understanding strategic initiatives, recommending and delivering complex advanced models and AI solutions to support their goals.

At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How You  Will Succeed

Apply AI & ML to solve real-world problems: You will utilize your knowledge in statistics, machine learning and/or optimization to frame business problems in a data science context. You will build data products by writing code that is modular, reliable, maintainable & replicable.

Utilize a consulting mindset when engaging with our partners : You will communicate complex concepts in simple and elegant ways. You will work closely with our business partners to understand their challenges by asking the right questions to gather information. You will put in the effort to understand the business problem and to answer any questions and concerns brought up by our partners.

Remain intellectually curious with a drive to constant improve our techniques and approaches to AI/ML problems: You will collaborate with data experts to learn about the data and engineer relevant features. You will effectively collaborate with other data scientists and engineers to work together and build data products. Mentor junior team members and provide technical thought leadership

Who You Are

You demonstrate advanced knowledge of traditional AI techniques in prediction, classification, forecasting, optimization, Natural Language Processing (NLP) and/or GenAI techniques. You have at least 4 years of experience working in an AI/ML or advanced analytics function.

You have extensive hands-on experience with modern data science, machine learning and AI/ML toolkits, such as Pandas, scikit-learn, XGBoost, spaCy, Keras & Huggingface/Transformers. Sound understanding of GenAI and LLMs with a working knowledge of fine-tuning, RAG patterns, agentic workflows.

You have a working knowledge of API frameworks, such as Flask and FastAPI, as well as familiarity with containerization technologies, such as Docker

Prior experience in use cases involving document extraction & OCR is a big asset.Working knowledge of Azure based cloud AI services and frameworks, is a plus.

You have an advanced degree in math, engineering, computer science, the natural sciences, other related quantitative field, or equivalent work experience.

You are a problem solver. You have exceptional critical thinking, problem solving, and decision making skills with demonstrated ability to independently identify and analyze problems and recommend solutions.

You are passionate about the responsible and ethical use of AI to benefit society. You enjoy conducting research, developing processes and guidance, and educating others on this important topic.

You're digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.

Your influence makes an impact. You know that relationships and networks are essential to success.

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, 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 benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, 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.

*Subject to plan and program terms and conditions

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 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.

We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Tools, Data Visualization, Machine Learning, Predictive Analytics, Python (Programming Language), Statistical Data Modeling, Strategy Implementation