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

What You’ll Be Doing You’ll be supporting the Data Analytics and Decision Science Director in the Investor’s Edge (IE) division in providing advanced analytics services to drive digital sales and business results. You’ll lead the design, development, and implementation of actionable machine learning models and analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging data and analytics.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview. How You’ll Succeed

• Digital Analytics & Business Insights - Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.Prepare presentations that clearly and concisely communicate key findings and objectives.
• Customer segmentation and Predictive modeling - Utilize expertise in Statistical and Machine Learning to develop predictive models for customer segmentation and targeted marketing campaigns. Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies. Identify new digital sales opportunities to address current or potential opportunities to grow revenue and improve profitability.
• Campaign design and management - Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales. Responsible for in-campaign analysis, analyzing the effectiveness of marketing campaigns by monitoring E2E campaign activities daily. Frequently liaise with key partners and peers to understand campaign requirements, provide expertise on proper experiment design, determine key performance indicators, collect and analyze data. Work with peers and technology teams to design post-campaign marketing performance reporting. Communicate insights and recommendations to improve campaign effectiveness.
• Data Management - Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process. Perform data exploration and integration. Ensure the accuracy and integrity of data. Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels. Design solutions to support optimization and automation of processes and reporting.
• 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 generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
• Innovative Problem Solving - Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
• Collaboration - Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.

Who You Are

• You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, PySpark). Must have experience coding in high level programming languages such as Python, SAS or PySpark. Extensive experience with PySpark is desired.
• You have a degree in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
• You're digitally savvy. You have technical knowledge specific to digital marketing & analytics, you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Experience with Adobe Analytics and funnel.io would be preferred.
• Strong analytic skills including a track record of making recommendations based on data driven business insights.
• Working knowledge of marketing optimization tools and are proficient in using them to derive digital campaign performance.
• 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, 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, 16th Floor

Employment Type Regular

Weekly Hours 37.5

Skills Applied Machine Learning, Machine Learning, Machine Learning Techniques, Strategic Objectives