Vice President - Global Markets Data & Analytics Engineer, TD Securities jobs in United States
cer-icon
Apply on Employer Site
company-logo

TD · 2 weeks ago

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

TD is a leading provider of capital markets products and services, and they are seeking a VP for their Equities Client Strategy & Analytics team. The role involves building data infrastructure and analytics to support client strategy and revenue growth, while ensuring adherence to operational risks and regulatory guidelines.

BankingFinanceFinancial ServicesWealth Management
check
H1B Sponsor Likelynote

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

Qualification

Data engineeringData analyticsData visualizationPythonSQLETL processesData governanceCRM platformsCloud data platformsBusiness impact orientationInterpersonal communicationProblem-solvingOrganizational skills

Required

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

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 compliance considerations in regulated environments
Degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, Finance)
Demonstrated ability to iterate from MVP to production-ready solutions with close collaboration with end users
Mindset focused on automation, scalability, and self-service analytics for business users
Strong Python development skills with modern engineering practices
Advanced SQL proficiency for complex queries, data manipulation, and performance optimization
Experience with Databricks or similar cloud-based data platforms (Snowflake, Azure, AWS)
Proven ability to design and build data pipelines integrating multiple sources (CRM systems, third-party vendors, internal databases)
Data visualization expertise using tools like Sigma Computing, Tableau, Power BI, or similar platforms
Strong understanding of data modeling, ETL processes, and data warehouse concepts
Exceptional organizational skills: ability to manage multiple projects simultaneously, prioritize effectively, and deliver under tight deadlines
Excellent communication skills: translate complex technical work into clear business narratives for non-technical stakeholders and senior management
Business impact orientation: ability to connect data work to revenue, client relationships, and strategic goals

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition

Company

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD).

H1B Sponsorship

TD has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2020 (6)

Funding

Current Stage
Late Stage
Total Funding
$65M
Key Investors
U.S. Department of the Treasury
2023-10-03Grant· $65M

Leadership Team

leader-logo
Brian Jacobson
Chief of Staff to the CEO, TD Bank, America's Most Convenient Bank
linkedin
F
Foster Glenn
SVP, Chief Information Security Officer
linkedin
Company data provided by crunchbase