Quantitative Developer

Axq Cap; New York, Northern (NY, KY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with employer matching up to 6%

Life and disability insurance

HSA/FSA

Job summary

AXQ Capital is seeking a Quantitative Developer to collaborate with research and engineering teams on strategy research, systematic trading, and risk management. You will contribute to data connectivity, backtesting frameworks, and trading systems, taking ownership of components and expanding into broader stack areas as you grow.

The position requires 0–3 years of software engineering experience, strong Python skills, and familiarity with Linux, networking, and concurrency concepts, with a

Qualifications

• Bachelor's degree or higher in Computer Science, Natural Sciences, Engineering, Financial Mathematics, or a related quantitative field
• Solid programming skills; proficient in Python with working knowledge of a statically-typed language such as C++, Rust, or Go
• Familiarity with Linux, 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

• Contribute to strategy research, systematic trading, and risk management components
• Build cross-region data, research, backtesting, and trading systems with ownership of well-scoped components
• Develop and maintain event-driven backtesting and simulation frameworks
• Implement and improve order management, execution, and real-time risk systems
• Grow into broader areas of the tech stack as needed

Skills

Python

C++

Rust

Go

Linux

Networking

Concurrency

Problem solving

Ownership

Education

Bachelor's degree in Computer Science

Bachelor's degree in Natural Sciences

Engineering

Financial Mathematics

Related quantitative field

Tools

GitHub

Claude Code

Cursor

Codex

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