Senior Manager, Payment Analytics

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

The Senior Manager, Payment Analytics will be a leading contributor in the Analytics & Decision Science team supporting Personal and Business Banking. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will lead analytics engagements to evaluate client behaviors and optimize business decisions related to product, payments and other business areas. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients.

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’ll Succeed

• Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success – you will think and act like an owner in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.
• Technology – Leverage right data/analytical tools to analyze structured and unstructured datasets, build data pipeline and visualization from multiple data sources.
• Consultant – Be an analytics consultant – Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision making and proactively identify opportunities to drive business growth
• Communication – Find the story in data and be flexible in communicating at varying levels of details for the right audience.
• Business Understanding - Working knowledge or prior experience in the Payments space (including but not limited to Credit Cards, Debit & Mobile wallets)
• Analytics – Independently identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviors and business trends (both internal and external). Appropriately integrate of big data, business intelligence, visualization, self-service and analytical tools into engagements. Proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.

Who You Are

• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
• You have experience in building end-to-end analytics solutions involving large datasets (i.e. requirement gathering, data extraction, cleaning and transformation, statistical analysis, presentation & implementation).
• You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
• You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
• 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.
• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
• You have working knowledge of statistical techniques (i.e. Regression, Time-series analysis, Clustering, Decision trees, RFM, Demand forecasting).
• You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.
• You are proficient in programming languages and have experience using modern data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, , Alteryx, Tableau, Cognos).
• You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in the industry and are excited to share the knowledge with others.

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.
• 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.
• 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.

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 [email protected]
• 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

Actionable Insights, Data-Driven Decision Making, Decision Sciences, Problem Solving