Quantitative Developer New York

AXQ Capital, LP.; New York (NY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer matching up to 6%

Life and disability insurance

Health savings and flexible spending

Generous paid time off

Office meals and team events

Job summary

AXQ Capital is a global quantitative investment firm seeking a Quantitative Developer in New York. You will collaborate with research and engineering teams on strategy research, systematic trading, and risk management to deliver robust, data-driven solutions.

You will contribute to cross-market data, backtesting, and production systems, while growing into broader areas of the stack and taking ownership of components.

Qualifications

• 0–3 years of software engineering experience, including internships.
• Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field
• Solid programming skills and computer science fundamentals; proficient in Python, with working knowledge of a statically-typed language such as C++, Rust, or Go
• Familiarity with Linux, basic networking, and concurrency concepts; willingness to deepen these skills on the job
• Curiosity, drive, and the ability to learn quickly when tackling unfamiliar problems
• Sense of ownership over the work you take on, and willingness to ask questions early

Responsibilities

• Contributing to global multi-market connectivity and cross-region, multi-asset-class data, research, backtesting, and trading systems — taking ownership of well-scoped components and growing into broader areas of the stack
• Helping build and maintain event-driven backtesting and simulation frameworks, with attention to consistency in data semantics and time models across research, backtesting, and production environments
• Implementing and improving pieces of our order management, execution, and real-time risk systems, with a focus on writing correct, well-tested, and performant code
• As a Quantitative Developer, you will work closely with our research and engineering teams to contribute to solutions across strategy research, systematic trading, and risk management. Working under the guidance of senior team members, your work will include:

Skills

Python

C++/Rust/Go

Linux basics

Ownership mindset

ICPC

Kaggle

GitHub

Education

Bachelor's degree or higher in Computer Science, Engineering, Financial Mathematics, or related quantitative field

Tools

Git

Job description

AXQ Capital is a global quantitative investment firm. We build diverse sources of investment edge across geographies, asset classes, and trading horizons. Our strategies are grounded in rigorous scientific research and deep market understanding, strengthened by sustained investment in data, technology, and AI. Our team brings together exceptional talent from leading academic institutions and the world’s most respected quantitative firms. We foster a collaborative culture built on curiosity, rigor, and ownership, where the best ideas win and people grow with the firm.

Responsibilities

As a Quantitative Developer, you will work closely with our research and engineering teams to contribute to solutions across strategy research, systematic trading, and risk management. Working under the guidance of senior team members, your work will include:

Contributing to global multi-market connectivity and cross-region, multi-asset-class data, research, backtesting, and trading systems — taking ownership of well-scoped components and growing into broader areas of the stack

Helping build and maintain event-driven backtesting and simulation frameworks, with attention to consistency in data semantics and time models across research, backtesting, and production environments

Implementing and improving pieces of our order management, execution, and real-time risk systems, with a focus on writing correct, well-tested, and performant code

Requirements

0–3 years of software engineering experience, including internships; prior exposure to quantitative finance is a plus but not required

• Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field

Solid programming skills and computer science fundamentals; proficient in Python, with working knowledge of (or strong interest in learning) a statically-typed language such as C++, Rust, or Go

Familiarity with Linux, basic networking, and concurrency concepts; willingness to deepen these skills on the job

• Curiosity, drive, and the ability to learn quickly when tackling unfamiliar problems

Sense of ownership over the work you take on, and willingness to ask questions early

Preferred Qualifications

Internship, research, or personal project experience related to trading systems, market data, or backtesting

Coursework, competitions, or open-source contributions demonstrating strong engineering or quantitative skills (e.g., ICPC, Kaggle, well-maintained GitHub projects)

Effective use of AI-assisted coding tools (e.g., Claude Code, Cursor, Codex)

The anticipated annual base salary range for this position is $150,000 to $200,000, depending on prior experience and qualifications. We offer a competitive total compensation package that includes base salary and an annual discretionary bonus.

AXQ team members enjoy comprehensive benefits, including:

• 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