Research Software Engineer

OP Recruiting; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Coverage

Vision Coverage

Technical Training

Professional Mentorship

Performance-based Bonus

Job summary

OP Recruiting seeks a software-focused quantitative researcher to collaborate with researchers to architect and deploy algorithmic trading strategies using high-performance simulation software. You will build robust data pipelines and user interfaces for financial data exploration and post-trade analysis, requiring deep knowledge of multi-threaded, low-latency systems and quantitative finance mathematics.

The role demands rigorous testing, performance optimization, and scalable software design

Qualifications

• Bachelor's degree in CS or quantitative field.
• Expert proficiency in C++, Python, and Linux.
• Deep knowledge of computer architecture, multi-threaded low-latency applications, and quantitative finance mathematics.

Responsibilities

• Collaborate with quantitative researchers to architect and deploy algorithmic trading strategies using high-performance simulation software.
• Build robust data pipelines and user interfaces for financial data exploration and post-trade analysis.

Skills

C++

Python

Linux

Object-Oriented Design

Data Structures

Algorithms

Quantitative Finance

Statistical Analysis

Computer Architecture

Multi-threading

Low-latency Applications

Distributed Computing

Data Engineering

Full-stack Development

Financial Modeling

Algorithmic Trading

Education

Bachelor's degree in Computer Science or quantitative field

Job description

Collaborate with quantitative researchers to architect and deploy algorithmic trading strategies using high-performance simulation software. Build robust data pipelines and user interfaces for financial data exploration and post-trade analysis.

Requirements: Requires a Bachelor's degree in Computer Science or a quantitative field with expert proficiency in C++, Python, and Linux. Must have deep knowledge of computer architecture, multi-threaded low-latency applications, and quantitative finance mathematics.

Key Skills: C++, Python, Linux, Object-Oriented Design, Data Structures, Algorithms, Quantitative Finance, Statistical Analysis, Computer Architecture, Multi-threading, Low-latency Applications, Distributed Computing, Data Engineering, Full-stack Development, Financial Modeling, Algorithmic Trading

Benefits:

• Medical Coverage
• Vision Coverage
• Technical Training
• Professional Mentorship
• Performance-based Bonus