Quantitative Trading Tools Engineer

Long Ridge Partners; New York (NY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Office in Midtown Manhattan

Daily breakfast, lunch & snacks

Wellness & fitness programs

Learning & development opportunities

Job summary

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.

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

Skills

Python programming

Analytical thinking

Team collaboration

Communication skills

Education

Bachelor’s degree in Computer Science

Master’s degree (preferred)

Tools

Python

NumPy

Pandas

Polars

Bash

Job description

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.