Advanced Client Data Analytics — Capital Markets Toronto, ON | Hybrid | Permanent | Exclusive Mandate via Prospect 33 THE OPPORTUNITY A leading global capital markets firm is seeking an experienced Associate Director to lead advanced client data analytics initiatives across its Capital Markets division. This is a high-visibility, senior individual contributor role sitting at the intersection of business strategy, data engineering, and client intelligence. You will own the foundational data layer that drives how the firm measures, understands, and acts on client profitability, resource efficiency, and strategic opportunity. Your work will be consumed across Corporate and Investment Banking, Global Markets, and adjacent business lines — scale and reusability of your solutions is central to the mandate. WHAT YOU’LL BE RESPONSIBLE FOR Lead end-to-end business analysis for client value measurement platforms — including client revenue analytics, resource consumption, client plan, and wallet analytics across all Capital Markets business lines Own requirements definition for reference data governance and client metrics reporting, in close partnership with data engineering and development teams Translate complex, ambiguous business requirements from senior stakeholders into precise data models, functional specifications, and technical requirements Serve as the bridge between traditional BI/reporting tooling and the firm’s emerging advanced analytics and data science capabilities Drive end-to-end project delivery — scoping, stakeholder alignment, success criteria, production monitoring, and risk communication Present data solutions to senior business leaders, securing approvals and managing acceptance criteria across multiple business lines Act as subject matter expert across the analytics product lifecycle — from design through implementation and production WHAT YOU BRING Must-Have 10+ years of business analysis experience within financial services, with meaningful exposure to Capital Markets Deep understanding of Capital Markets data and products — particularly in Corporate and Investment Banking (credit exposures, new issuances, trades, reference data, return calculations) Advanced, hands-on SQL proficiency — complex queries, data modelling, validation, and data analysis at scale Direct experience with reference data — stitching together multi-vertical data assets into coherent, scalable frameworks Demonstrated ability to produce BA deliverables: data requirements documents, functional specifications, data models Proven confidence presenting technical solutions to senior, non-technical business stakeholders Agile/Scrum delivery experience, including sprint planning participation Toronto-based with ability to work in-office on a hybrid basis Strong-to-Have Experience supporting cross-firm, scalable data solutions (not business-unit silo projects) Corporate and Investment Banking domain expertise — client performance reporting, credit exposure, capital allocation Proficiency in Tableau or comparable BI/data visualisation platforms Cloud infrastructure exposure — AWS or Azure — with awareness of enterprise data architecture patterns Experience on data modernisation, cloud migration, or enterprise analytics platform implementations Conceptual fluency in AI/ML and its applications to analytics problems (hands-on delivery not required) Background in regulatory, risk, or front-office analytics WHO YOU ARE You don’t take requirements at face value. You ask why, you push back when something won’t scale, and you think in systems. You’re as comfortable in a room full of quants as you are in front of a Managing Director. You’ve built solutions that get reused — not rebuilt — because you designed them right the first time. You thrive without hand-holding and you take personal ownership of delivery. EDUCATION Bachelor’s or Master’s degree in Business, Finance, Computer Science, or a related quantitative field. #J-18808-Ljbffr