Huxley
C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
Huxley - New York, New York, us, 10261
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Overview
C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
Join to apply for the
C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
role at
Huxley C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
2 weeks ago Be among the first 25 applicants Join to apply for the
C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
role at
Huxley Get AI-powered advice on this job and more exclusive features. This range is provided by Huxley. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$150,000.00/yr - $300,000.00/yr C++ Low Latency Trading Systems Developer - Manhattan, New York - 150 - 300 K Base Plus Bonus A trading firm in NYC is hiring C++ engineers to their low latency trading systems technology team. Relative experience in finance is ideal, but the team is open to excellent low latency candidates from out of industry. Excellent C++ experience is a must with STL/Boost, Linux/Unix, etc. Anticipated annual base salary range is around 150 - 300 K plus bonus.
EOE Statement:
Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. To find out more about Huxley, please visit www.huxley.com Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Engineering, Finance, and Information Technology Industries Capital Markets, Financial Services, and Venture Capital and Private Equity Principals Referrals increase your chances of interviewing at Huxley by 2x Sign in to set job alerts for “System Development Specialist” roles.
Don't see the right opportunity? Apply here!
Want to work with us, but don't see the right job listed?
Don't fit another role but want us to consider you? Apply here...
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Join to apply for the
C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
role at
Huxley C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
2 weeks ago Be among the first 25 applicants Join to apply for the
C++ Low Latency Trading Systems Dev-NYC- 150-300K Base+Bonus
role at
Huxley Get AI-powered advice on this job and more exclusive features. This range is provided by Huxley. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$150,000.00/yr - $300,000.00/yr C++ Low Latency Trading Systems Developer - Manhattan, New York - 150 - 300 K Base Plus Bonus A trading firm in NYC is hiring C++ engineers to their low latency trading systems technology team. Relative experience in finance is ideal, but the team is open to excellent low latency candidates from out of industry. Excellent C++ experience is a must with STL/Boost, Linux/Unix, etc. Anticipated annual base salary range is around 150 - 300 K plus bonus.
EOE Statement:
Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. To find out more about Huxley, please visit www.huxley.com Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Engineering, Finance, and Information Technology Industries Capital Markets, Financial Services, and Venture Capital and Private Equity Principals Referrals increase your chances of interviewing at Huxley by 2x Sign in to set job alerts for “System Development Specialist” roles.
Don't see the right opportunity? Apply here!
Want to work with us, but don't see the right job listed?
Don't fit another role but want us to consider you? Apply here...
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New York City Metropolitan Area $45,000.00-$60,000.00 3 weeks ago Holmdel, NJ $120,000.00-$240,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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