Quantitative Trading & Research - Cash Equity Sales - Vice President

The Quantitative Trading & Research team developments quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients

Job Summary

As a Vice President in the Quantitative Trading & Research team, you will lead the development of quantitative models, algorithms, analytical capabilities and agentic workflows that improve how Cash Equities Sales teams engage with clients.

You will set the research agenda and lead the transformation of complex data, including client flow and transactional data such as trades, orders, axes and IOIs, into relevant signals, client targeting and \"who to call\" recommendations, LLM-generated dynamic client content, trade ideas and post-trade opportunities, supporting inbound and outbound client workflows.

You will be accountable for the research lifecycle from problem framing and data preparation through methodology, evaluation, production implementation and monitoring, partnering with senior stakeholders across Sales, Trading, Technology, Data and Product.

You will use statistical methods, ML, LLMs and AI agents where they add value, and mentor junior team members.

Job Responsibilities


* Define and lead a research roadmap for Cash Equities Sales analytics, prioritizing problems by business impact in partnership with Sales and Trading leadership.


* Research, develop and validate models and algorithms for data processing, signal identification, client targeting, opportunity prioritization and Sales analytics.


* Construct reproducible research datasets and develop methods for extracting, enriching and interpreting structured and unstructured data, including Cash Equities flow and transactional data (executions, orders, axes, IOIs, blocks).


* Analyze client trading behavior, including flow patterns, sector and stock preferences, position changes, liquidity needs and trading style, to identify which clients to target, with which ideas, and when.


* Build \"who to call\" recommendation engines that rank clients for Sales coverage by combining flow signals, axes and liquidity, trade ideas and market events, with a clear rationale for each recommendation.


* Architect reusable executable analytical capabilities, including tools, skills and plugins, that encode research methods for use in Sales applications and AI-assisted workflows, and set standards for their design, testing and reuse.


* Lead the design, build and evaluation of agentic workflows that orchestrate these tools, data services and models to automate multi-step Sales tasks, such as client pre-call briefings, flow summaries, idea-to-client matching and inbound request handling, with appropriate guardrails, human-in-the-loop review and auditability.


* Develop dynamic, data-derived client content grounded in analytical insights, with clear source attribution and supporting rationale, for outreach and responses to inbound requests.


* Develop algo...