Quantitative Developer

Long Ridge Partners; New York (NY); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work model

Generous paid time off

Wellness reimbursements

Job summary

Long Ridge Partners seeks a Quantitative Developer in New York to advance the firm’s research framework and build production-quality tools for researchers daily. You will work closely with the quantitative research group to extend capabilities and support trading strategies.

Ideal candidates bring strong Python experience (3+ years) and familiarity with NumPy, Pandas, and Polars, plus Bash scripting. You will engage with engineers, researchers, and traders across a distributed team in a

Qualifications

• BS in Computer Science or related field from a top program.
• Strong Python programming in production environments (≥3 years).
• Experience with NumPy, Pandas, Polars for data processing.
• Familiarity with Bash or similar scripting languages.
• Experience translating researcher needs into production-grade software.

Responsibilities

• Develop and enhance the quantitative research framework and tools.
• Provide day-to-day support to the on-site quantitative research team.
• Collaborate with researchers and traders to translate needs into reliable software.
• Work across the stack from Python tooling to performance-critical components.

Skills

Python

NumPy

Pandas

Polars

Bash

Workflow management

Communication skills

Education

Bachelor's degree in Computer Science

Master's degree (preferred)

Tools

NumPy

Pandas

Polars

Job description

A leading high-frequency trading firm with a multi-decade track record of innovation is looking for a Quantitative Developer to join one of its trading teams in New York. In this role, you'll be working closely with a quantitative research group to strengthen and extend the firm's research framework. You'll build and improve the tools researchers rely on daily, giving you direct visibility into how trading strategies are developed and refined.

The firm operates through independent trading teams, each empowered to build their own strategies, backed by the scale, infrastructure, and resources of a large global organization. Engineers here work on genuinely hard problems, from low-latency systems to research tooling that supports systematic trading at a high level.

What You'll Do

• Develop and enhance the quantitative research framework, building new tools and improving existing ones
• Provide close, day-to-day support to the on-site quantitative research team
• Collaborate with researchers and traders to translate their needs into reliable, production-quality software
• Work across the stack where needed, from Python-based tooling to performance-critical components

What We're Looking For

• Bachelor's degree in Computer Science from a top/elite university; a Master's degree is a plus
• Strong, hands-on experience with Python, including at least 3 years in a production environment
• Familiarity with statistical and data libraries such as NumPy, Pandas, and Polars
• Experience with Bash or similar scripting languages
• Exposure to workflow management and task scheduling systems
• Financial services experience is preferred but open to strong engineering talent from big tech or startups as well
• Strong problem-solving skills and the ability to work well in a collaborative, geographically distributed team
• Excellent communication skills, both technical and interpersonal

Why Join?

This is an opportunity to work at the intersection of engineering and quantitative research, with real ownership over the tools that support trading decisions. You'll be embedded with the research team, seeing firsthand how your work translates into business impact, while also having access to the broader engineering culture and infrastructure of a well-established global firm.

Beyond the work itself, this firm is known within the industry for being one of the best places to build a career in quantitative trading, combining serious technical challenges with a genuine commitment to work-life balance. The environment is collaborative and low-ego, with smart, driven colleagues and a culture that values good ideas over hierarchy.

The firm's New York office is based in Midtown with an open workspace, casual dress code, and daily breakfast, lunch, and snacks. Additional benefits include generous paid time off, hybrid working arrangements, financial wellness and savings plans, wellness reimbursements (gym, personal training, and more), company-sponsored sports and fitness events, volunteer and charitable giving programs, regular social events, and ongoing learning and development opportunities.