Quantitative Researcher

AXQ Capital is hiring a Quantitative Researcher to develop and deploy quantitative trading strategies across global equities and futures. The role spans data preparation, alpha discovery, portfolio construction, and using agentic AI to accelerate research.

Responsibilities

• Developing and refining quantitative trading strategies across global equities and futures, from initial idea through live deployment
• Transforming raw market and alternative data into research-ready inputs that power alpha discovery
• Applying tools from probability, statistics, and machine learning to uncover patterns and predictive signals in market data
• Exploring portfolio construction and optimization techniques that combine individual strategies into robust, risk-managed portfolios
• Leveraging agentic AI workflows to accelerate the research cycle — from hypothesis generation to automated backtesting and analysis

Preferred

• Publications in leading journals or conferences, or strong results in national or international Olympiads (math, physics, or computer science), are a plus
• Academic Publications
• Mathematics Olympiad Achievement
• Physics Olympiad Achievement
• Computer Science Olympiad Achievement

Benefits

• Medical, dental, and vision insurance, with 100% employer-paid premiums for individuals
• 401(k) with employer matching up to 6%
• Life and disability insurance
• Health savings and flexible spending accounts
• Generous paid time off
• Regular office-provided meals and team events
• An annual discretionary bonus

Company

• Global quantitative investment firm
• New York, New York, USA
• https://www.axqcap.com/
• Founded in 2018
• 11-50 employees

Qualifications

• Bachelor's, Master's, or PhD from a top-tier university in a quantitative or technical field, such as math, physics, statistics, or computer science
• Strong foundation in probability, statistics, time-series analysis, and machine learning
• Strong Python skills for conducting research
• Self-motivated, with a strong sense of ownership and urgency
• Curious and collaborative, with the ability to communicate research clearly
• Publications in leading journals or conferences, or strong results in national or international Olympiads (math, physics, or computer science), are a plus

Required skills

• Machine Learning, Probability, Python, Statistics, Time-Series Analysis

Experience

• Mid level