Quantitative Developer

Green Key Resources; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus

Long-term incentive package

Job summary

Green Key Resources is seeking a Quantitative Developer in New York to build and maintain trading systems and quantitative research platforms. This role involves developing Python applications and optimizing performance while collaborating with portfolio managers and researchers.

The ideal candidate has over 4 years of experience in software development, a strong background in data structures, and proficiency in SQL. You will work in an engineering-first environment that values ownership and innovation.

Qualifications

• 4+ years of software engineering or quantitative development experience.
• Strong knowledge of data structures, algorithms, and software design.
• Experience with high-performance backend applications.

Responsibilities

• Build and maintain quantitative research platforms and trading systems.
• Develop scalable Python applications for data and analytics.
• Design market data pipelines for real-time financial data.

Skills

Software engineering or quantitative development experience

Data structures and algorithms knowledge

Building distributed systems

Strong SQL skills

Python

Cloud platforms experience (AWS preferred)

Familiarity with Docker and Kubernetes

Education

Bachelor's or Master's in Computer Science, Mathematics, Engineering, Physics

Tools

Git

Airflow

Kafka

Job description

A leading multi-strategy hedge fund is looking for a Quantitative Developer to build the research and trading infrastructure that powers systematic investment strategies across global markets.

You'll partner closely with portfolio managers, quantitative researchers, and traders to develop scalable research tools, production trading systems, and large-scale data pipelines. This is an opportunity to work on challenging engineering problems where performance, reliability, and speed directly impact investment decisions.

What You'll Do

• Build and maintain quantitative research platforms and production trading systems.
• Develop scalable Python applications for data ingestion, simulation, and analytics.
• Design market data pipelines handling large volumes of real-time and historical financial data.
• Improve backtesting frameworks and research tooling used by quantitative researchers.
• Optimize system performance and automate trading workflows.
• Collaborate with researchers to productionize alpha models and investment strategies.
• Contribute to cloud infrastructure, deployment automation, and monitoring.

What We're Looking For

• 4+ years of software engineering or quantitative development experience.
• Strong knowledge of data structures, algorithms, and software design.
• Experience building distributed systems or high-performance backend applications.
• Strong SQL skills and experience working with large datasets.
• Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field.

Preferred Experience

• Experience working in a hedge fund, proprietary trading firm, or financial technology company.
• Knowledge of market data, equities, futures, options, or other financial products.
• Experience with cloud platforms (AWS preferred).
• Familiarity with Docker, Kubernetes, or modern DevOps practices.
• Experience with C++, Rust, Java, or Go is a plus.
• Exposure to machine learning or statistical modeling is a bonus.
• Python
• AWS
• Git
• Airflow
• Kafka

Why Join?

• Work alongside experienced quantitative researchers and portfolio managers.
• Build systems that directly impact live trading and investment performance.
• Competitive compensation, annual bonus, and strong long-term incentive package.
• Collaborative, engineering-first culture with significant ownership and exposure to the investment process.
• Opportunity to solve complex technical problems in one of the most data-intensive environments in finance.