PhD Quantitative Strategist

TL;DR

PhD Quantitative Strategist (Quantitative Trading): Apply statistical methods and analytical techniques to develop predictive models and research new trading strategies across liquid markets with an accent on alpha generation, strategy optimization, and risk management. Focus on analysing existing strategies, building risk models and frameworks, and automating research processes to improve data visualisation and portfolio performance.

New York

$300,000 - $400,000 TC

Company

A well-established market maker expanding its quantitative research team following a successful 2024 and strong start to 2025.

What you will do

• Apply statistical methods and analytical techniques to develop predictive models.
• Research and implement new trading strategies to enhance performance.
• Analyse existing strategies to identify optimisation opportunities.
• Develop risk models and frameworks to manage portfolio risk effectively.
• Build tools to automate research processes and improve data visualisation.

Requirements

• Advanced degree (preferably PhD) in a quantitative discipline such as Science, Mathematics, or Engineering.
• Strong academic background with a history of challenging coursework and a high GPA.
• Exceptional problem-solving, mathematical, and quantitative skills.
• Proficiency in programming languages such as C/C++ and Python.
• Ability to work under pressure and solve complex technical and quantitative problems.
• Strong communication skills, capable of engaging with both technical and non-technical teams.
• Internship experience in a quantitative role.
• Intellectual curiosity, self-motivation, and a collaborative mindset.

Culture & Benefits

• Values intellectual curiosity, problem-solving ability, and passion for quantitative research.
• High-performance trading environment.