Vice President - Client Analytics Developer, TD Securities

TD Bank•New York, NY

65d•$185,000 - $185,000

About The Position

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. The VP Trading Business Management TDS is responsible to provide the leadership team with information, reporting and support to ensure Trading operational risks are appropriately managed and adherence to internal policies / procedures and applicable regulatory guidelines is effective. This position also works with management / control function partners (e.g. Risk, Legal, Compliance, AML and Audit) to assess risks, develop and implement proactive strategies, tactics and programs to effectively manage regulatory and governance issues for the Trader environment.

Requirements

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

Nice To Haves

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

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

Benefits

Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals.
Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as 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, and reward and recognition.
regular development conversations
training programs
competitive benefits plan
online learning platform
mentoring programs

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