Quantitative Developer Intern

Reposted 5 Days Ago
Be an Early Applicant
Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Internship
Fintech • Software • Financial Services • Quantitative Trading
The Role
The intern will design and implement low-latency trading platforms and a high-performance backtesting framework, focusing on C++ and cloud environments.
Summary Generated by Built In

Job Responsibilities:

  1. Design and implement low-latency live trading platforms in C++.

  2. Design and implement high-performance backtesting research framework in a cloud computing ecosystem.

 

Qualifications:

  1. Experience in writing C++ in a large-scale codebase for a professional setting.

  2. Experience in Python programming language.

  3. Work experience with low latency trading platforms is a plus.

  4. Familiarity with cloud platforms such as AWS is a plus.

  5. Knowledge with ReactJS and node is a plus.

  6. Being fast, critical and reasonable in thinking.

  7. Good communicator, being rigorous, patient, and having a strong sense of teamwork.

  8. Highly motivated, and able to work in a fast-paced environment.

Skills Required

  • Experience in writing C++ in a large-scale codebase
  • Experience in Python programming language
  • Work experience with low latency trading platforms
  • Familiarity with cloud platforms such as AWS
  • Knowledge with ReactJS and Node.js
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The Company
HQ: Jersey City, New Jersey
20 Employees

What We Do

Scientech Research Capital is a quantitative trading firm founded by wall street veterans each with 10+ years of proven track record from top-notch firms. SRC strives to leverage the innovations and breakthroughs in technology to discover fundamental values in the financial markets. We pride ourselves in adhering to scientific principles and nurturing creativity in quantitative research. As a proprietary trading firm, we utilize our own capital to deploy investments. Currently we have presence in major US and Asian exchanges with daily trading volume over $500MM USD. Since the company founded in 2019, our trading strategy and infrastructure have weathered through the 2020 financial market storm, riding unseen volatility spike and handling massive data volume with ease. We are actively seeking talents to build out our multi-asset trading and research platform, and extend the footprint to global markets.

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