Risk Analytics Consultant — Hybrid Work

Canadian Imperial Bank of Commerce; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Canadian Imperial Bank of Commerce is seeking a Consultant in Toronto to deliver advanced analytics and insights for client credit risk analytics. You’ll develop strategies, test hypotheses, and drive data-driven decisions on the retail delinquent portfolio while collaborating with diverse partners across the risk function.

You’ll work in a hybrid setup with 1–3 days on-site and remaining days remote, leveraging SAS, Databricks, and BI tools to extract actionable insights and support risk

Qualifications

• Experience in advanced analytics within risk management.
• Ability to model and apply mathematical techniques to credit risk problems.

Responsibilities

• Deliver impactful analytics and drive enhanced business decisions for the retail delinquent portfolio.
• Develop strategies and champion a data-driven approach across stakeholders.
• Collaborate with partners to translate analytical insights into concrete actions.

Skills

Analytical Thinking

Business Intelligence

Business Requirements

Communication

Data Aggregation

Databricks Platform

Databricks SQL

Data Integration

Data Quality

Data Quality Improvement

Deliverables Management

Prioritization

Quality Improvement

Risk Analytics

SAS Base Programming

SAS Enterprise

SAS Enterprise Guide

SAS Macros

SAS Program

SAS SQL

Tableau Desktop

Test Planning

Tools

Databricks Platform

Databricks SQL

Tableau Desktop

SAS Base Programming

SAS Enterprise

SAS Enterprise Guide

SAS Macros

SAS Program

SAS SQL

Job description

Canadian Imperial Bank of Commerce is seeking a Consultant in Toronto to deliver advanced analytics and insights for client credit risk analytics. You’ll develop strategies, test hypotheses, and drive data-driven decisions on the retail delinquent portfolio while collaborating with diverse partners across the risk function.

You’ll work in a hybrid setup with 1–3 days on-site and remaining days remote, leveraging SAS, Databricks, and BI tools to extract actionable insights and support risk