Quantitative Developer - Trading

Selby Jennings; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

An established industry player is on the lookout for a talented Quantitative Developer to join their dynamic team in New York. This role offers the chance to work at the intersection of technology and finance, where you'll develop innovative solutions that empower quantitative research and investment strategies. You'll collaborate closely with researchers and analysts, building robust infrastructures and tools that streamline the research-to-production pipeline. If you're passionate about quantitative research and eager to make a significant impact in a fast-paced environment, this opportunity is perfect for you.

Benefits

Vision insurance

Medical insurance

Pension plan

Paid paternity leave

Tuition assistance

Disability insurance

Child care support

Paid maternity leave

Student loan assistance

401(k)

Qualifications

• 2+ years of software engineering experience focused on Python development.
• Experience managing projects across the full development lifecycle.

Responsibilities

• Design and develop a unified research environment for data access.
• Collaborate with teams to build tools that enhance modeling workflows.

Skills

Python

Quantitative Research

Software Engineering

Data Analysis

Education

Bachelor's or Master's in Computer Science

Degree in Mathematics

Degree in Engineering

Degree in Physics

Job description

1 week ago Be among the first 25 applicants

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$175,000.00/yr - $250,000.00/yr

Additional compensation types

Annual Bonus and Sign-on bonus

Direct message the job poster from Selby Jennings

FinTech Headhunter | HFT Firms and Hedge Funds

Position Overview

We are seeking a quantitative developer to join a collaborative team focused on empowering quantitative research and investment strategies. This role involves working closely with researchers and analysts to build robust infrastructure, tools, and services that streamline the research-to-production pipeline.

Primary Responsibilities

Design and develop a unified research environment for streamlined access to data, model development, and backtesting across both simulation and live production contexts

Collaborate directly with research and trading teams to uncover inefficiencies and build tools that accelerate the modeling workflow

Create systems and APIs to enhance transparency into model performance and the broader investment process

Deliver platforms and environments that improve research collaboration, data accessibility, and speed-to-deployment for key analytics and strategies

Required Qualifications

Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related technical field

At least 2 years of professional software engineering experience with a focus on Python-based development

Strong interest in quantitative research and translating business needs into scalable technology solutions

Demonstrated ability to manage projects across the full development lifecycle-from design and implementation to deployment and support

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Finance, and Information Technology

• Industries

  Capital Markets

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Inferred from the description for this job

Vision insurance

Medical insurance

Pension plan

Paid paternity leave

Tuition assistance

Disability insurance

Child care support

Paid maternity leave

Student loan assistance

401(k)

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