Remote/Hybrid High-Performance C++ Developer (Trading)

Stevens Capital Management LP - Internships

United States

Hybrid

USD 100,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Bonuses
401(k) contributions

Job summary

Stevens Capital Management LP - Internships seeks production-oriented developers with strong C++ skills in a Linux environment to join a fast-paced team. You will develop high-performance multi-threaded applications, optimize trading strategy implementations, and build tools to process financial data while collaborating with quantitative researchers and engineers.

Ideal candidates hold a CS or Math degree, have solid problem-solving abilities, and are familiar with shell scripting and databases

Qualifications

  • Professional-level C++ programming in a Linux environment.
  • A Computer Science or Mathematics degree.
  • Outstanding problem solving skills.
  • Knowledge of shell scripts and other languages including Perl, Bash or CSH is a plus.
  • Experience with relational databases including Sybase, SQL Server and Oracle is a plus.
  • Experience with GUI design is a plus.

Responsibilities

  • Develop and support multi-threaded applications with a strong emphasis on high performance.
  • Optimize trading strategy implementation and performance analysis platform using network and systems programming.
  • Create tools to process, store and analyze quote, order and financial data.
  • Work closely with quantitative research analysts, engineers and other groups to provide software solutions.

Skills

C++ programming
Linux environment
Problem solving
Shell scripting
Perl
Bash
SQL databases
GUI design

Education

Computer Science or Mathematics degree

Tools

Sybase
SQL Server
Oracle

Job description

Stevens Capital Management LP - Internships seeks production-oriented developers with strong C++ skills in a Linux environment to join a fast-paced team. You will develop high-performance multi-threaded applications, optimize trading strategy implementations, and build tools to process financial data while collaborating with quantitative researchers and engineers.

Ideal candidates hold a CS or Math degree, have solid problem-solving abilities, and are familiar with shell scripting and databases

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