Vice President, Prime Brokerage Quantitative Strategist

Selby Jennings; New York (NY); Sur place; USD 180 000 - 220 000; Plein temps

Résumé du poste

Selby Jennings is seeking a Vice President-level Quantitative Strategist for its Prime Brokerage team in New York. You will develop quantitative models, analytics, and decision-support tools used by trading desks and business stakeholders to optimize risk, inventory, and financing decisions.

The role emphasizes front-office impact, with responsibilities spanning Python-based solution development, large-data analysis, and collaboration with trading, sales, and technology teams to deliver scalable

Qualifications

• Experience in a Quantitative Strategist, Quantitative Analyst, Strats, or Quantitative Development role within a front-office environment.
• Strong understanding of Prime Brokerage, Equity Financing, Delta One, Securities Lending, or related equity trading businesses.
• Advanced Python programming skills with experience building production-quality analytical tools.
• Strong background in mathematics, statistics, quantitative modeling, or optimization.
• Experience partnering directly with traders and business stakeholders.
• Knowledge of equity products and market structure.
• Strong communication skills and ability to explain complex concepts to technical and non-technical audiences.

Responsabilités

• Develop and enhance quantitative models, analytics, and decision-support tools supporting the Prime Brokerage business.
• Build and maintain Python-based applications and libraries used by traders and front-office stakeholders.
• Analyze large datasets to identify market trends, risk exposures, and business opportunities.
• Apply statistical and optimization techniques to improve inventory utilization, financing efficiency, and balance sheet management.
• Partner closely with trading, sales, and technology teams to deliver scalable quantitative solutions.
• Develop reporting, visualization, and analytical frameworks to support front-office decision-making.
• Drive multiple projects simultaneously and contribute to the broader quantitative strategy of the business.

Connaissances

Quantitative modeling

Statistics

Communication skills

Trader collaboration

Outils

Python

Description du poste

Salary: USD200000 - USD200000 per year

Our client, a leading global investment bank, is seeking a Vice President-level Quantitative Strategist to join its Prime Brokerage business in New York. This individual will work directly with trading desks and business stakeholders to develop quantitative models, analytics, and decision-support tools focused on risk management, inventory optimization, financing activities, and balance sheet efficiency. The role offers significant front-office exposure and the opportunity to drive initiatives that have a direct impact on trading performance and business strategy.

Responsibilities

• Develop and enhance quantitative models, analytics, and decision-support tools supporting the Prime Brokerage business
• Build and maintain Python-based applications and libraries used by traders and front-office stakeholders
• Analyze large datasets to identify market trends, risk exposures, and business opportunities
• Apply statistical and optimization techniques to improve inventory utilization, financing efficiency, and balance sheet management
• Partner closely with trading, sales, and technology teams to deliver scalable quantitative solutions
• Develop reporting, visualization, and analytical frameworks to support front-office decision-making
• Drive multiple projects simultaneously and contribute to the broader quantitative strategy of the business

Requirements

• Experience in a Quantitative Strategist, Quantitative Analyst, Strats, or Quantitative Development role within a front-office environment
• Strong understanding of Prime Brokerage, Equity Financing, Delta One, Securities Lending, or related equity trading businesses
• Advanced Python programming skills with experience building production-quality analytical tools
• Strong background in mathematics, statistics, quantitative modeling, or optimization
• Experience partnering directly with traders and business stakeholders
• Knowledge of equity products and market structure
• Strong communication skills and ability to explain complex concepts to technical and non-technical audiences
• Track record of delivering impactful quantitative solutions in a fast-paced environment