Vice President - Global Markets Data & Analytics Engineer

Vice President - Global Markets Data & Analytics Engineer, TD Securities

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Work Location: New York, New York, United States of America

Hours: 40

Line Of Business: TD Securities

Pay Detail: $185,000 - $185,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We're looking for a technically skilled and business-savvy VP to join our Equities Client Strategy & Analytics / Front Office Global Markets team. This is a high-impact role at the intersection of data engineering, analytics, and front-office decision-making. You'll work with Equities Sales, Trading, Research, senior management, and TDS Technology to develop data infrastructure and analytics that drive client strategy and revenue growth.

The ideal candidate brings strong engineering expertise and a passion for building impactful front-office tools, with demonstrated ability in data analysis and visualization. You'll thrive in a fast-paced trading floor environment, partnering closely with TDS technology on a business-driven analytics roadmap to build scalable solutions that transform complex, siloed data into actionable insights.

Key Responsibilities:

• Build and scale data pipelines:
  Design, develop, and maintain robust ETL workflows that integrate CRM data, market share metrics (Coalition, McLagan), broker votes, and internal trading/sales data.
• Deliver front-end analytics:
  Create production-ready visualization dashboards that enable Sales, Trading, and management to make faster, data-driven decisions.
• Own end-to-end projects:
  Take strategic objectives from the Client Strategy leadership and independently architect backend solutions and deliver polished front-end tools
• Drive data quality and governance:
  Implement validation controls, automate data refresh processes, and ensure accuracy across complex data environments
• Partner across the organization:
  Work closely with TDS technology, front-office stakeholders, and contribute to Markets-wide analytics initiatives
• Solve business problems with data:
  Translate ambiguous or incomplete datasets into clear, actionable insights that inform client segmentation, opportunity prioritization, and competitive analysis
• Contribute to GenAI initiatives:
  Participate in the development and deployment of internal GenAI projects, helping to integrate data into LLM-powered tools for front-office use cases
• Continuously improve the stack:
  Identify bottlenecks, optimize existing workflows, and evolve our analytics infrastructure to support growing business needs

Depth & Scope:

• Leads and manages the Trader business management functional area and overall operation of a diverse group in an area of moderate risk, complexity or scope
• Ensures an integrated approach with other business management areas, broader organization, and enterprise as appropriate
• Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
• Focuses on short to medium-term issues (e.g. 6-12 months)
• Generally reports to a Senior Manager or above

Education & Experience:

• Undergraduate degree in Business (Accounting or Finance) or Mathematics/Economics
• Series 7 and 63
• 5-7 Years of related experience
• Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business
• Ability to provide guidance on Business Management matters and respond to inquiries from business unit staff
• Must be detail oriented and possess problem-solving skills
• Must be able to work independently with minimal supervision and establish priorities
• Proficient in interpersonal communication (both oral and written), and have the ability to communicate effectively with all levels of staff and management

Preferred Qualifications:

• 4+ years of hands-on experience in data analytics, data engineering, or business intelligence roles, ideally in capital markets or financial services
• Background in Equities markets (cash equities, derivatives, prime services) or institutional sales/trading environments
• Familiarity with Sigma Computing or direct experience building production dashboards for front-office users
• Experience working with third-party market data vendors (Coalition, McLagan, Greenwich) and integrating their datasets
• Knowledge of CRM platforms and client analytics workflows
• Exposure to data governance, entitlements, and…