Location: Toronto (required to attend 3 times a week on Tuesdays, Wednesdays, and Thursdays)
Contract Duration: Start ASAP, end date: 12/26/2025
Possibility of Extension & Conversion to FTE
Number of Positions: 1
Schedule Hours: 9am-5pm, Monday-Friday (standard 37.5 hrs/week)
Reason: New Project
Story Behind the Need
Business Group: Corporate Functions Technology – supporting marketing, HR, finance, and risk. The Risk Technology organization within this group primarily serves operational risk stakeholders.
Project: Focused on the financial risk domain, involving data analytics, reporting, regulatory reporting, and advanced analytics. This role requires technical expertise, with exposure to the financial domain being a plus.
Domain Knowledge: Banking, Insurance, Risk, Financial Risk Management, Retention Management
Typical Day in Role
Interacting with end users to understand their data and reporting needs.
Working with a technology stack centered on Microsoft. Understanding current requirements.
Collaborating with internal IT stakeholders, including architects, the data office, and the AML team. Ensuring collaboration with other project stakeholders and fulfilling their requests and best practices around delivery areas.
Providing all necessary information to architects to complete the project.
In a senior role, assisting offshore junior resources with their questions and being involved in the execution of solutions (Azure, SQL Server, Power BI, Power Apps platform required).
Soft Skills: Strong Communication, Stakeholder Management, Time Management, Adaptability, Problem Solving
Candidate Requirements/Must-Have SkiLLS
1. 4+ years experience as junior anaylst
2. Familiarity with Microsoft Technologies like SQL, Microsoft Azure
3. Prior experience in building OLAP and OLTP-based data analytics and business intelligence systems.
4. Requirement Gathering, Business Requirement Documentation (BRD), Power BI, Power Apps and Power Automate
Nice-to-Have Skills
1. Familiarity with the financial risk domain
Education
Bachelor's degree in a technical field such as computer science or computer engineering. A mathematical background is also acceptable. A Master’s degree is preferred.
Best vs. Average Candidate
The ideal candidate will possess strong soft skills and a can-do attitude. Meeting 80% of the technical skills and 20% of the domain knowledge would be ideal. Experience in solution delivery related to the financial risk domain is a strong plus.
Candidate Review & Selection
Step Process: 2 rounds
First round – mostly technical (45 minutes)
Second round – discussion on personality and soft skills (30 minutes)