Manager, Analytics CAM

CIBC

Vancouver

Hybrid

CAD 120,000 - 170,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary
Defined benefit pension plan
Employee share purchase plan
Wellbeing support
MomentMakers recognition

Job summary

CIBC in Toronto seeks a Manager, CAM Analytics to deliver advanced data analytics for collections operations. You will apply statistical modeling, data mining, and machine learning to provide insights for senior management and drive strategic decisions.

The role involves autonomous day‑to‑day work, researching best practices, and enhancing automated reporting systems. We support a hybrid work arrangement and offer competitive compensation, a pension plan, employee share purchase options,

Qualifications

  • Deep data analytics on collections/risk data.
  • Experience building predictive models and ML solutions.
  • Strong communication and stakeholder management.

Responsibilities

  • Conduct deep analysis of data and benchmark performance.
  • Identify opportunities to improve CAM operations via technology or processes.
  • Lead data and reporting projects aligned with strategy and goals.
  • Communicate findings clearly to leadership and partners.
  • Manage relationships with data and reporting teams across the bank.

Skills

SAS
SQL
Python
R
Hadoop
Spark
Databricks
Alteryx

Tools

SAS
SQL
Python
R
Hadoop
Spark
Databricks

Job description

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

As a member of CIBC’s team, the Manager, CAM (Client Account Management) Analytics is responsible for supporting the delivery of advanced consulting advice in data analytics in collections operations, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. the Manager, CAM Analytics provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

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
  • Analytics - Conduct deep analysis of data and provide recommendations to effectively manage business decisions. Develop benchmarks and thresholds that support the tracking and communication of performance metrics.

  • Business Effectiveness - Identify and recommend changes that enhance collections operations whether through technology or other processes to ensure the efficiency and effectiveness of the Client Account Management (CAM).

  • Strategic Thinking Approach - Drive, manage and execute data and reporting projects and initiatives in alignment with CIBC Strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.

  • Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.

  • Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.

Who you are
  • You are skilled in Programming languages and modern big data, analytical tools (e.g., SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Databricks).

  • You are experienced in Collections and/or risk management data, leveraging your knowledge of collections processes (early-stage, mid-stage, late-stage, and dialer collections) to support analytics, reporting, and modelling, and generate insights into performance, trends, and opportunities.

  • You are proficient in Machine Learning and advanced modelling, driving the application and development of data science solutions to solve complex business problems, mentoring analytics teams, building predictive models, and deploying advanced statistical methodologies to optimize strategies and outcomes.

  • You are a critical thinker. With exceptional problem solving and decision making skills, knowledgeable about the organization’s IT environment and business process integration, and possess stellar communication skills, producing clear business documents and expressing ideas verbally with impact.

  • 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 goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

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

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

  • 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 test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. 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-141 Bay, 17th Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Base SAS, Business Effectiveness, Communication, Data Mining, Data Reporting, Decision Making, Machine Learning (ML), Metrics Analysis, Process Improvements, Python for Data Analysis, Reporting and Analysis, SAS/STAT, SAS SQL, Statistical Analysis

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