Quantitative Developer

Long Ridge Partners; New York (NY); Hybride; USD 170 000 - 230 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Office in Midtown Manhattan

Daily breakfast, lunch & snacks

Wellness & fitness programs

Learning & development opportunities

Résumé du poste

Long Ridge Partners, a leading high-frequency trading firm, seeks a Quantitative Developer in New York to join a trading team and strengthen the researchers’ framework. You’ll build and extend tools used daily by researchers, gaining visibility into how trading strategies are developed and refined.

The role involves collaborating with researchers and traders to translate requirements into reliable software, spanning from Python tooling to performance-critical components.

Qualifications

• Bachelor’s degree in Computer Science or equivalent.
• Hands-on Python development in production environments (3+ years).
• Experience with data libraries such as NumPy, Pandas, Polars.
• Familiarity with Bash or scripting languages.
• Strong problem-solving and collaborative skills.

Responsabilités

• 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 production-quality software.
• Work across the stack from Python tooling to performance-critical components.

Connaissances

Python programming

Analytical thinking

Team collaboration

Communication skills

Formation

Bachelor’s degree in Computer Science

Master’s degree (preferred)

Outils

Python

NumPy

Pandas

Polars

Bash

Description du poste

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 systemsFinancial 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
• ongoing learning and development opportunities