Senior Credit Risk Data Analyst - Hybrid Toronto

SPECTRAFORCE; Canada; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A leading consulting firm in Canada is seeking a Senior Data Analyst to work in a hybrid model from Toronto, ON. The ideal candidate will have strong skills in SQL, SAS, and Python, and will be responsible for providing subject matter expertise on Wholesale Credit Risk data. You will support data management, perform comprehensive testing, and conduct in-depth data analysis for urgent business requirements. A university degree in a relevant field and experience in the finance industry are required.

Qualifications

• Experience with SQL and Credit Risk/Wholesale data.
• Expertise in SAS and Python is a must.
• Strong understanding of data processes in finance and banking.

Responsibilities

• Provide expertise on Wholesale Credit Risk data and processes.
• Assist in system development and testing.
• Conduct in-depth data analysis and provide tactical solutions.

Skills

SQL

Credit Risk/Wholesale data

SAS

Python

Data Analysis

Business System Analysis

Data Profiling

Risk/Finance/Portfolio knowledge

Strong analytical skills

Communication skills

Education

University degree in Data Science, Engineering, Information Systems and/or Business

Tools

Netezza

Cloud technologies

Job description

A leading consulting firm in Canada is seeking a Senior Data Analyst to work in a hybrid model from Toronto, ON. The ideal candidate will have strong skills in SQL, SAS, and Python, and will be responsible for providing subject matter expertise on Wholesale Credit Risk data. You will support data management, perform comprehensive testing, and conduct in-depth data analysis for urgent business requirements. A university degree in a relevant field and experience in the finance industry are required.