| Job Title: |
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C++ Developer |
| Category: |
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Software Development |
| Total Positions: |
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3 |
| Job Location: |
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Islamabad, Hyderabad, Karachi, Lahore, Multan, Rawalpindi, Abbottabad, Sahiwal |
| Gender: |
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No Preference |
| Minimum Education: |
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Bachelors |
| Career Level: |
|
Department Head |
| Minimum Experience: |
|
5 Years |
| Salary Range: |
|
PKR 0 to 0 per Month |
| Apply By: |
|
Feb 17, 2022 |
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| Job Description: |
Develop hi performance client server application.
- Minimum of 4 years solid and demonstrable experience in handling real time systems development in C++ environment, ideally on Linux but MFC experience will also be preferred.
- Our development work is primarily with Linux in the background and MFC in the front end.
- Should have experience handling socket programming with semaphore, multi threaded applications using STL, ATL or Boost.
- Should also be familiar with new C++ standards 17.
- Our goal is to write highly performance code working with data streams.
- Experience with Blockchain or transaction related technologies involving TCP/IP, UDP or webisodes will also be preferred.
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| Company Information |
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Company Name: Vector Solutions
Company Description:
pAlgorithmic Capital Markets LLC. designs and develops automated limit order trading algorithms for NASDAQ and NYSE markets. Our Pakistan based subsidiary also helps our exclusive Wall Street clients save large amount of capital for pension funds, endowments, retirements, insurance systems as well as hi net worth individuals. Our work has contributed to strengthening of our clients expertise in navigating risky markets and help the society indirectly. ACM's fully automated expert systems have direct links to all ECNs, NASDAQ exchange and NYSE Super DOT system. Our algorithms impart machine intelligence to our super fast computers which in turn crunch numerous calculations to place limit orders. We are quick to readjust our limit orders when we predict an oncoming shift in market behavior. ACMs systems are designed for continuous limit order trading with minimal market impact through the use of predictive mathematical, statistical and parametric techniques./p
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