Senior Analyst, Retail Lending — Hybrid Data & Portfolio Insights

CIBC US

Toronto

Hybrid

CAD 90,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Employee share purchase plan
Defined benefit pension plan
MomentMakers recognition program
Wellbeing support

Job summary

CIBC is a relationship-focused bank seeking a Senior Analyst, Account Management, Retail Lending to analyze operational results of credit processes and propose improvements. The role supports cross-department collaboration and external vendors, with a hybrid work arrangement (1-3 days on-site).

You will leverage data analytics and portfolio reporting to shape account management strategy, using SAS/SQL and MS Office tools to produce actionable insights.

Qualifications

  • Experience with SAS or similar data mining software (SQL, SPSS) and MS Office.
  • Ability to analyze data and communicate results effectively.
  • Strong attention to detail and willingness to learn.

Responsibilities

  • Data analytics - Collect and analyze data to support the development of account management strategy design.
  • Portfolio reporting - Develop, produce, and analyze, specialized and highly iterative portfolio management reporting.
  • Credit knowledge & problem solving - Apply combination of technical skills, credit knowledge and creative problem-solving skills develop models and ‘what if’ scenarios to evaluate a range of potential options available to management.

Skills

Data analytics
Portfolio reporting
Credit knowledge
SQL
SAS
Excel

Tools

SAS Enterprise Guide
SAS Enterprise Miner
SQL
SPSS
Microsoft Word
Excel
Outlook
PowerPoint

Job description

CIBC is a relationship-focused bank seeking a Senior Analyst, Account Management, Retail Lending to analyze operational results of credit processes and propose improvements. The role supports cross-department collaboration and external vendors, with a hybrid work arrangement (1-3 days on-site).

You will leverage data analytics and portfolio reporting to shape account management strategy, using SAS/SQL and MS Office tools to produce actionable insights.

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