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Job Title: Senior Trading Specialist

Location: 1114 Avenue of Americas, New York, NY 10036

*Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in New York, NY.

Job Duties: Integrate and analyze large-scale programmatic advertising datasets across connected television (CTV), audio, and retail media environments to identify patterns in audience exposure, delivery efficiency, and campaign performance using quantitative and statistical analysis techniques. Develop and implement analytical frameworks to evaluate cross-platform advertising exposure, including frequency analysis, incremental reach modelling, consumer journey visualization, and retail sales attribution. Design and conduct structured testing initiatives, including alpha and beta programs, to evaluate new platform capabilities and campaign configurations by performing technical QA and performance validation analyses. Analyze testing outcomes to assess system performance, identify opportunities to improve efficiency and measurement accuracy, and document scalable implementation frameworks while providing data-driven insights to product and engineering teams to inform platform development and global feature deployment. Collaborate with technical teams to design, evaluate and deploy custom solutions, including bidding algorithms, optimization logic, and automated decision systems, using performance data modelling, API integrations and structured testing methodologies to validate and scale implementations. Lead technical troubleshooting initiatives including VAST/VPAID tag implementation errors, pixel and server-side tracking discrepancies, first-party data ingestion failures, UID-based identity resolution gaps, cross-device attribution mismatches, and auction delivery inefficiencies, ensuring data integrity, accurate conversion measurement, and platform performance optimization. Implement first-party data onboarding and identity resolution workflows, including Unified ID (UID) configuration, deterministic matching strategies, and cross-device measurement enablement. Lead strategic programmatic initiatives by architecting data-driven campaign frameworks across first-party data activation, CTV consolidation, and retail measurement, leveraging The Trade Desk platform and advanced reporting tools to translate complex performance analytics into quantifiable commercial outcomes, including incremental household reach, CPUHH efficiency gains, and retail sales lift to influence media investment strategy and budget allocation decisions. Partner with agency leadership, digital investment teams, and senior planning stakeholders to shape media investment strategy, position programmatic as a core growth driver, and translate platform differentiators into enterprise-level value propositions that unlock incremental budget allocation, channel diversification, and long-term revenue expansion.

Salary: $109,491 - $145,500 / year

Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Economics, Finance, Political Science or related field and three (3) years of experience in the job offered or related role. Must have three (3) years of experience with: applying quantitative modelling and financial forecasting principles including bid optimization modeling, auction dynamics analysis, CPM-to-CPA efficiency modeling, budget pacing algorithms, and ROAS/CAC forecasting; extracting, querying and manipulating large datasets through proprietary and enterprise data systems including Vertica, STATA, SQL, Tableau, Power BI, or DB Visualizer; designing advanced data visualization frameworks and analytical dashboards to transform large complex data sets into meaningful visuals for key stakeholders; Microsoft Excel for large-scale data analysis and process automation, including development of VBA scripts and macros, creation of dynamic pivot tables, application of advanced lookup functions (INDEX-MATCH, VLOOKUP), data modeling, and formula optimization to improve reporting accuracy and analytical efficiency; developing strategic client-facing presentations grounded in quantitative data analysis, including translating complex technical product capabilities into clear, commercially-relevant narratives to support product adoption, upsell, and cross-sell initiatives; and partnering with clients to implement pixel-based and server-side tagging frameworks and ingest first-party data including configuring identity resolution workflows leveraging Unified ID (UID) solutions for deterministic matching, cross-device recognition, and person- or household-level audience activation and measurement. Domestic travel required up to 10% of the time to client site meetings, including Quarterly Business Reviews.

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