Senior Manager, Lending 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, Lending Analytics will play a pivotal role in the Analytics & Decision Science team supporting Personal and Business Banking, specifically on Residential Mortgages, Unsecured Lending as well as Auto Lending products. The Analytics & Decision Science team is dedicated to developing next-generation analytics assets to facilitate data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this position, you will lead analytics initiatives, leveraging your strong business acumen and modern analytical tools to optimize portfolio performance, gain deeper insights into client behaviors, and drive business growth across products, campaigns and various business areas. You will collaborate closely with business partners, present insights and proposals, and proactively offer 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 1-2 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 you'll succeed

• Consultant – be a leader in analytics consulting – 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 (projects/business cases, acquisition/retention strategies, pricing, channels, segments, products and process enhancements)

• Analytics – Independently identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviours and business trends (both internal and external).  Appropriately integrate of data science, business intelligence, visualization, self-service and analytical tools into engagements.  Proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.

• Technology – Leverage data science/analytical tools to analyze large structured and unstructured datasets, build data pipeline and visualization from multiple data sources.

• 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 and being accountable in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.

• Communication – Find the story in data and be flexible in communicating at varying levels of details for the right audience.

Who you are

• 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 are proficient in programming languages and have experience using modern big data, analytical and dashboard tools (i.e. Databricks, Python, SQL, SAS, Power BI, Tableau, Alteryx).

• 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 working knowledge of statistical techniques (i.e. regression, time-series analysis, clustering, decision trees).

• 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.

• 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 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.

• 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 work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs 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.

*Subject to 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.

Expected End Date

2025-04-04

Job Location

Toronto-81 Bay, 25th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Tools, Business Effectiveness, Business Intelligence (BI), Communication, Data-Driven Decision Making, Data Mining, Data Reporting, Data Science, Decision Making, Machine Learning, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis