Equity Finance Quantitative Strategist — VP​/SVP

Equity Finance Quantitative Strategist — VP/SVP The Opportunity

Join a high-impact, entrepreneurial quant team embedded directly within the Equity Finance trading desk. You will own the full lifecycle of quantitative models — from research and prototyping through production deployment — that directly drive P&L, optimize financial resource consumption, and give our clients a differentiated analytical edge. You will own the full quantitative model suite across equity swaps, securities lending, custom baskets, and prime brokerage — spanning liquidity management (ALM/MLO), valuation, counter party risk, client analytics, factor-driven portfolio solutions, and hard-to-borrow pricing/locates.

Unlike large-bank quant factories, this role offers direct partnership with senior traders, visibility to desk leadership, and the autonomy to shape the analytical direction of a rapidly growing business. You will work directly with clients on bespoke portfolio solutions and build systems that traders use every day to make real-time decisions.

You will be part of a Global Quant team spanning New York and London, collaborating closely to ensure alignment on strategy, shared tooling, and state-of-the-art quantitative capabilities across regions.

• Design and implement pre-trade optimization models for funding, liquidity risk, and tenor mismatch — driving measurable P&L improvement
• Build factor analytics engines, custom basket construction tools, and risk decomposition frameworks for equity swap and securities finance portfolios
• Develop forward funding rate projection models and collateral optimization algorithms
• Create P&L attribution, risk factor analysis, and scenario modelling across Equity Swaps and Securities Finance
• Liquidity Modelling.

• Partner directly with hedge fund and institutional clients to design and optimize custom basket strategies — portfolio construction, factor tilts, and rebalancing logic
• Develop bespoke quantitative tools that help clients analyze their portfolio exposures, optimize execution, and manage risk
• Serve as a technical counterpart to clients on complex structured and systematic strategies, translating their investment objectives into quantitative implementations
• Build analytics that surface client flow patterns, profitability drivers, and resource consumption (balance sheet, capital, funding) at a granular level
• Apply machine learning techniques (gradient boosting, NLP, clustering) to identify patterns in client flow, predict funding demand, and optimize inventory positioning
• Leverage large language models (LLMs) and generative AI to automate research workflows, extract insights from unstructured data, and build intelligent decision-support tools for the trading desk
• Develop AI-powered automation pipelines that eliminate manual processes — from data ingestion and reconciliation to report generation and anomaly detection
• Build and maintain agentic AI systems that augment trader workflows, including automated monitoring, alerting, and recommendation engines

• Architect scalable, production-grade Python systems on a modern, greenfield infrastructure stack — no legacy systems, no tech debt to inherit
• Build on AWS-native infrastructure (S3, Redshift, Lambda, Airflow/MWAA) purpose-built for quantitative finance workloads
• Leverage Claude Code as the primary development environment — AI-assisted coding end-to-end, from prototyping through production deployment
• Access custom-built global AI agents developed by the team that provide a best-in-class developer experience: automated testing, code review, deployment pipelines, and intelligent tooling that accelerates every stage of development
• Build interactive dashboards and real-time analytics platforms used daily by the trading desk
• Own the full development lifecycle: research → prototype → production → monitoring

This role sits within a unified Global Quant team (New York + London) that operates as one unit. You will:

• Collaborate with London-based quants on shared models, analytics infrastructure, and tooling
• Contribute to and benefit from a shared quantitative library and reusable…