Analyst - Prime Brokerage Data Analytics

TD•Toronto, ON

1d•CA$95,000 - CA$105,000•Onsite

About The Position

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,900 professionals operating out of 32 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank. We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day. The Prime Brokerage Group at TD Securities provides money managers the flexibility to trade with multiple brokers while consolidating one master account with our firm. This centralized service lets clients focus on portfolio management and building their business while leaving the operational and administrative matters to us. This is a high‑impact Analyst role situated at the intersection of data engineering, analytics, and front‑office decision‑making within the Prime Brokerage business. The role supports client strategy, revenue growth, and risk management by designing and delivering scalable data infrastructure and analytical solutions. The successful candidate will report to the Head of Prime Brokerage Client Service and Risk Management and will partner closely with Securities Lending, Secured Funding, and control functions (Risk, Operations, Audit). The role plays a critical part in translating complex and evolving datasets into actionable insights, while ensuring adherence to internal governance standards and regulatory requirements.

Requirements

Undergraduate or advanced degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics)
1–3 years of hands‑on experience in data analytics, data engineering, or business intelligence; experience in capital markets or financial services is an asset
Strong quantitative, analytical, and problem‑solving skills with the ability to independently structure and execute complex analyses
Advanced proficiency in Python and SQL; experience with VBA is a plus
Demonstrated experience designing, building, and deploying analytical data products, dashboards, and reporting solutions
Familiarity with financial products and trading concepts (equities, fixed income, derivatives, prime services) is an asset
Excellent organizational skills with the ability to manage multiple initiatives and deliver high‑quality output under tight deadlines
Strong written and verbal communication skills, with the ability to translate technical analysis into clear business narratives for stakeholders at all levels
Proactive mindset with a willingness to innovate, improve processes, and drive transformation
High attention to detail, ability to work independently with minimal supervision, and strong prioritization skills
Proficiency in MS Office (Word, Excel, PowerPoint)

Responsibilities

Design, build, and deliver production‑ready dashboards, analytics, and reporting tools to support Client Service, Risk Management, and front‑office business decision‑making
Lead projects end‑to‑end, from defining business objectives and data requirements through backend architecture, validation controls, and polished front‑end delivery
Develop and maintain robust data pipelines, implementing automated refreshes, validation checks, and governance controls to ensure data accuracy, consistency, and reliability
Translate ambiguous, incomplete, or fragmented datasets into actionable insights supporting client segmentation, opportunity prioritization, capacity planning, and competitive analysis
Identify inefficiencies and bottlenecks in existing processes, continuously optimizing analytics infrastructure for scalability and evolving business needs
Support and execute strategic initiatives, including innovation, transformation, and process‑automation projects across the Prime Brokerage platform
Prepare and enhance management‑level reporting, performance metrics, and analytical materials for senior leadership
Develop predictive analytics and contribute to the adoption of business intelligence tools across the organization
Maintain, enhance, and refactor existing technical solutions to align with rapidly changing business, regulatory, and client requirements
Build strong working relationships through cross‑functional collaboration with Front Office, Risk Management, Technology, and Operations teams