Lead Quantitative Developer - Statistical Arbitrage

Campbell North Ltd.; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative firm in the finance sector is on the lookout for a talented Quantitative Developer. This pivotal role involves constructing systems from scratch to support the complete investment workflow, encompassing research and analytics to live trading. The ideal candidate will possess a robust background in Python and experience with modern data science tools, along with a solid grasp of financial datasets and trading systems. Join this dynamic team and contribute to shaping the future of mid-frequency quant equity markets, where your technical expertise will drive significant business value.

Qualifications

• 3+ years in a quantitative or technical role in the financial industry.
• Experience with large-scale financial datasets and live trading systems.

Responsibilities

• Build out systems for the full investment workflow from research to trading.
• Interface effectively with investment professionals for system development.

Skills

Python

Problem-solving

C++

R

Node.js

React

Education

BS in Computer Science

MS in Engineering

Degree in Mathematics

Degree in Physics

Tools

Data Science Tools

Job description

I'm currently partnered with a highly successful systematic multi-strategy hedge fund that is looking to enter the mid-frequency quant equity markets as their next stage of growth. As such, a key early hire for this business is a Quantitative Developer to take ownership of and build out the systems for the full investment workflow, from research and analytics to live trading.

Since the role involves a complete build-out of the systems from the ground up, the firm is seeking a candidate with holistic experience in building research systems.

Ideal Candidate Profile:

1. BS/MS in Computer Science, Engineering, Mathematics, Physics, or related fields.
2. Advanced proficiency in Python, with experience in modern data science tools. Familiarity with C++, R, and web frameworks (Node.js, React, etc.) is a plus.
3. 3+ years in the financial industry in a quantitative or technical role, preferably working closely with investment teams.
4. Experience with large-scale financial datasets, high-performance research workflows, and live trading systems.
5. Ability to interface effectively with investment professionals.
6. Excellent problem-solving skills with a clear understanding of the business value derived from technical solutions.