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, counterparty 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. What You Will Own 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. Client‑Facing Analytics & Custom Solutions 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 Technology & Architecture 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 component ecosystem Participate in cross‑regional knowledge sharing — what is built once is deployed globally Lead and define technical roadmap alongside global leadership What Sets You Apart Required 5+ years’ experience in a quantitative role within Equity Swaps, Prime Brokerage, Securities Finance, or a quantitative hedge fund Expert Python developer — production‑quality code, not just notebooks Strong foundation in statistics, optimization, and financial mathematics Client‑facing experience — comfortable presenting quantitative solutions to sophisticated institutional investors Demonstrated ability to communicate complex quantitative concepts to traders, senior management, and non‑technical stakeholders Self‑starter mentality — thrives with autonomy and takes ownership of outcomes Highly Valued Hands‑on experience with machine learning in production (scikit‑learn, XGBoost, PyTorch, or equivalent) Familiarity with large language models, prompt engineering, and AI‑assisted development workflows (e.g., Claude Code, Copilot) Experience building automation pipelines and intelligent systems that reduce manual overhead Cloud infrastructure experience (AWS — S3, Redshift, Lambda, Airflow/MWAA) Knowledge of derivatives pricing, funding curves, or collateral management models Experience with real‑time data systems, event‑driven architectures, or streaming analytics New York, NY Full Time Salary Range of $175,000 - $300,000. About Us Jefferies is a leading global, full‑service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law. #J-18808-Ljbffr Jefferies