Archived listing. The details below describe a past opening.
Company Overview Our client is a premier, independent alternative asset manager managing over $19 billion for institutional and retail clients. Built on an entrepreneurial, fast-paced, and highly collaborative culture, the firm operates with a flat organization structure where hands-on problem solvers thrive and directly impact business outcomes.
Role Overview As a Senior Business Analyst, you will serve as the crucial bridge between data engineering teams and front/middle-office business units. Sits between Data Engineering and key stakeholders, you will own the product backlog, build user stories for data engineers, and design reporting solutions. A key strategic driver for this role will be establishing data semantics to support the firm’s upcoming AI and LLM model rollouts.
Main Responsibilities
- Translate complex business workflows into functional specifications, detailed user stories, and technical requirements for a team of 4 Data Engineers.
- Own and prioritize the product backlog, translating business needs into actionable tech deliverables.
- Build and maintain Power BI reports, ad-hoc analytical queries, and dashboards for business leaders and executive leadership.
- Execute data mapping, testing, and validation across cloud data warehouses (Snowflake, Databricks) and relational/unstructured databases (MS SQL Server, MongoDB).
- Drive data semantic modeling and support the construction of a semantic layer for downstream AI and LLM initiatives.
- Analyze trade lifecycles and resolve complex data discrepancies across Securities Master File (SMF), Investment Book of Record (IBOR), and Accounting Book of Record (ABOR) systems.
- Collaborate directly with portfolio managers, traders, operations, and executive leadership in a fast-paced environment.
Must-Haves
- Experience: 7–10+ years of Business Analysis experience within Capital Markets, Asset Management, or Pension Plans.
- Domain Knowledge: Deep understanding of the trade lifecycle, data flows (SMF, IBOR, ABOR), and asset classes (equities, fixed income, derivatives).
- Technical Skills: Strong SQL skills (ability to write basic-to-intermediate custom queries) and hands-on Power BI reporting capabilities.
- Investment Systems: Direct exposure to Order/Investment Management Systems (e.g., Aladdin, SimCorp, CRIMS, etc.).
- Culture Fit: A hands-on, adaptive mindset suited for a flat, dynamic environment without heavy administrative bureaucracy.
Nice-to-Haves
- Hands-on experience with modern cloud platforms (Snowflake, Databricks) and multi-database environments (MS SQL Server, MongoDB).
- Experience working with market data feeds (Bloomberg DL, Refinitiv, FactSet).
- Experience operating within Agile/Scrum delivery frameworks.
Other Important Info
- Work Model: Hybrid (Toronto, ON)
- Base Salary Range: $120,000 – $130,000 CAD per year
- Bonus & Equity: Target 20% performance bonus (tiered based on performance), profit-sharing, and future equity ownership options for high performers.
- Benefits: Full health, dental, and wellness coverage; corporate fitness reimbursement; maternity/parental leave top-ups; and 15+ days paid vacation.
📩 How to Apply
If this sounds like a strong fit for your background and you meet the must-have qualifications, please forward your CV directly to me at:
📧 [email protected]
This post is for existing and upcoming vacancies
