Senior Business Analyst

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

Acts as the bridge between data engineering and business units to design reporting solutions and manage the product backlog. Responsible for establishing data semantics to support AI/LLM rollouts and resolving complex data discrepancies across investment systems.

Requires 7-10+ years of business analysis experience in Capital Markets or Asset Management with deep knowledge of trade lifecycles. Must be proficient in SQL, Power BI, and have direct experience with Order/Investment Management Systems.

• Health coverage • Dental coverage • Wellness coverage • Corporate fitness reimbursement • Maternity/parental leave top-ups • Paid vacation • Performance bonus • Profit-sharing • Equity ownership options

• Power BIPreferred
• SQLPreferred
• Data ValidationPreferred
• ScrumPreferred
• AgilePreferred
• MongoDBPreferred
• Business analysisPreferred

Identified from the job description. Confirm important requirements above.

• Business Analysis
• SQL
• Power BI
• Data Mapping
• Semantic Modeling
• Trade Lifecycle Analysis
• Product Backlog Management
• User Story Creation
• Snowflake
• Databricks
• MS SQL Server
• MongoDB
• Investment Management Systems
• Agile
• Scrum
• Data Validation

• Finance & Accounting
• Data & Analytics
• Technology
• Consulting
• Management & Leadership

Minimum experience

5+ years

Apply by

Oct 8, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable

Application method

Direct apply is available