Quantitative Developer - New York- Multi-Asset Class Systematic Trading

    • Oxford Knight
  • Posted 60+ days ago | Updated 2 days ago

Overview

On Site
Full Time

Skills

C++
Computer science
Problem solving
Professional development
Trading
Research
Leadership
Design
Performance management
Simulation
Automation
Estimating
Modeling
Software development
Python
Quantitative Analysis
Creativity
Analytical skill
Database
SQL
MongoDB
Bash
Git
Docker
CMake

Job Details

Client

Research at this leading investment firm is key to continued success: based on rigorous and innovative research, they design and implement systematic, computer-driven trading strategies across multiple liquid asset classes. You'll be exposed to all aspects of the systematic investing business; with lots of project ownership and a collaborative start-up environment, this is a fantastic place to work.

Role

They're looking for a strong quantitative developer to join their growing PM team in New York. Working on critical greenfield projects, you'll build high-performance components for both live trading and simulation, along with increasing automation and robustness of the research infrastructure -- alpha estimation, risk modelling, backtesting, etc.

Requirements
  • 2+ years' development experience in a similar role
  • Strong programming skills in C++ or Python
  • Bachelor's (or higher) in Computer Science (or other quant discipline)
  • A motivated self-starter, with creative & analytical problem-solving skills

Desirable
  • Experience working in a small trading team
  • Database experience (SQL, MongoDB, HDF5)
  • Experience with Bash, Git, Docker, CMake

Benefits
  • Market-leading base + bonuses
  • Meritocratic work culture and environment
  • Excellent professional development
  • Outstanding opportunities for project ownership


Contact
If you feel you're a strong candidate for the role and would like further info, please contact:

Greg Leigh-Jones

+1
linkedin.com/in/greg-jones-8a457011a