Senior Data Analyst
Location: Toronto, ON – Hybrid (4 days onsite per week)

Must-Have Skills: Experience with SQL + Credit Risk/Wholesale data + SAS/Python

Candidate having prior experience with Commercial lending data, Credit risk metrics (PD, LGD, EAD, ratings), SQL and hands‑on data experience. Looking for someone with Risk/Finance/Portfolio teams and who has exposure to lending or credit systems.

Reason for hire: supporting data needs and added workload, change management

Provides change management, data services and analysis in support of MDPA.

Key Accountabilities

Providing subject matter expertise on Wholesale Credit Risk data, data processes and systems

Assisting in the system development and perform comprehensive testing to ensure technology deliverable fulfill business requirement

Perform in depth data analysis and investigation.

Providing tactical solution for urgent business requirement.

Identifies and documents the business partner’s functional and data requirements based on a business process description or data process to ensure that the final deliverable coincides with the context of the business operations

Reviews project documents (e.g., High Level Requirements Document [HLRD],



High Level System Design Documents [HLSD], and application code) to ensure quality, completeness, and adherence to documentation standards, as well as identifies synergies between initiatives in order ensure the efficiency and effectiveness of the development process

Knowledge & Skills

Proficient using SQL statements to query data and perform data profiling, data verifications

Strong experience with business system analysis in a complex data warehousing setting running on Netezza and Cloud.

Strong experience gathering business requirement from client groups and converting these into functional specification documents

Strong sense of commitment

Experience with SAS/Python

Background in Data Science, Information Systems, Statistics

Possesses solid business knowledge in Finance/Banking industry

Strong analytical skills, communication skills and presentation skills

Education

Possesses a university degree in Data Science, Engineering, Information Systems and/or Business

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industry

Banking

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