TD Securities
Vice President - Global Markets Data & Analytics Engineer, TD Securities
TD Securities, New York, New York, us, 10261
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 at TD. Our 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 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 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
Physical Requirements:
Domestic Travel – Occasional
International Travel – Never
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment – Continuous
Responding quickly to sounds – Occasional
Sitting – Continuous
Standing – Occasional
Walking – Occasional
Moving safely in confined spaces – Occasional
Lifting/Carrying (under 25 lbs.) – Occasional
Lifting/Carrying (over 25 lbs.) – Never
Squatting – Occasional
Bending – Occasional
Kneeling – Never
Crawling – Never
Climbing – Never
Reaching overhead – Never
Reaching forward – Occasional
Pushing – Never
Pulling – Never
Twisting – Never
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous
#J-18808-Ljbffr
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 at TD. Our 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 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 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
Physical Requirements:
Domestic Travel – Occasional
International Travel – Never
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment – Continuous
Responding quickly to sounds – Occasional
Sitting – Continuous
Standing – Occasional
Walking – Occasional
Moving safely in confined spaces – Occasional
Lifting/Carrying (under 25 lbs.) – Occasional
Lifting/Carrying (over 25 lbs.) – Never
Squatting – Occasional
Bending – Occasional
Kneeling – Never
Crawling – Never
Climbing – Never
Reaching overhead – Never
Reaching forward – Occasional
Pushing – Never
Pulling – Never
Twisting – Never
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous
#J-18808-Ljbffr