Quantitative Developer - Electronic Market Making

Bluesky Capital; New York (NY); On-site; USD 33,000 - 60,000; Full time

Job summary

Bluesky Capital's Trading division is seeking a Quantitative Developer for a Summer Internship in New York. You will develop and improve low-latency trading technology, working with quants and traders to implement strategies efficiently.

Ideal candidates hold an MS or PhD in a quantitative field, have strong Python/Matlab skills, and experience with C++ low-latency programming. The role emphasizes independent, multi-project work in a fast-paced environment.

Qualifications

• MS or PhD degree from top university in Engineering, Mathematics, Statistics, Computer Science, or related area
• Excellent knowledge and prior hands-on experience with Python or Matlab
• Experience with low-latency programming C++
• Ability to work independently on both short and long-term projects
• Ability to multi-task and work on multiple projects simultaneously and on short-term notice

Responsibilities

• Develop low-latency trading technology and integrations to various exchanges
• Write production quality code to integrate new trading strategies in our current set
• Monitor the performance of the strategies deployed into production

Skills

Python

Matlab

C++

Independent work

Multi-tasking

Education

MS or PhD in Engineering/Mathematics/Statistics/Computer Science or related

Tools

Linux

Networking protocols

REST/Websocket/FIX

Job description

Id: QDEVEMMINTUSA

Division: Trading

Unit: Electronic Market Making

Asset classes: All

Title: Quantitative Developer

Level: Analyst

Schedule Type: Full Time

Employment type: Summer Internship

Location: New York

Job Description

What we do

Bluesky Capital's Trading division trades the firm's proprietary capital in a variety of investment products. Our trading division is looking for a quantitative developer to expand its trading activities in various markets.

Your impact

Our quantitative developers play a vital role in our company. They develop and constantly improve our proprietary low-latency trading technology. They work closely with quant researchers and traders to implement our trading strategies as efficiently and effectively as possible.

Responsibilities

• Develop low-latency trading technology and integrations to various exchanges
• Write production quality code to integrate new trading strategies in our current set
• Monitor the performance of the strategies deployed into production

Qualifications

Required qualifications

• M.S. or Ph.D. degree from top university in Engineering, Mathematics, Statistics, Computer Science, or related area
• Excellent knowledge and prior hands-on experience with Python or Matlab
• Experience with low-latency programming C++
• Ability to work independently on both short and long-term projects
• Ability to multi-task and work on multiple projects simultaneously and on short-term notice

Preferred Qualifications

• Experience with Linux
• Knowledge of networking protocols and REST / Websocket / FIX
• Prior work experience in a trading or investment management environment is a plus
• Prior experience in trading
• Prior experience with Chinese futures or stocks

About Bluesky Capital

Bluesky Capital is a global quantitative investment manager and proprietary trader. Founded in 2014 and headquartered in New York, we have a presence in the USA and China. We generate income from our proprietary quantitative trading activities and help our clients achieve long-term superior risk-adjusted returns through our absolute return investment products. We invest in all asset classes, including Equity, Fixed Income, Commodities, Currencies, and Volatility.

We believe that the success of our company mainly depends on the quality of our team. For this reason, we make sure to hire the best talent we can and provide the resources and support that enable them to operate at their full potential. Most of our people hold advanced degree from top tier universities or come from leading financial organizations.