Game Tester Freshers Walk-in Drive - GlobalStep Pune

Salary

25 LPA

Location

Multiple Locations

Highlights

Join a leading quantitative trading firm as a Quantitative Strategist or Infra/C++ Developer with competitive compensation and flexible location options.

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Description

Are you a fresh graduate or an experienced professional with a passion for quantitative strategies and infrastructure development in the financial sector? Join our prestigious trading firm as a Quantitative Strategist or Infra/C++ Developer. We are currently seeking talented individuals from IIT backgrounds to contribute to our cutting-edge quantitative trading systems.

Role Overview:

• Quantitative Strategist: Work on developing advanced algorithms for trading, analyzing market trends, and optimizing investment portfolios.
• Infra/C++ Developer: Focus on building robust low-latency systems, enhancing our computational infrastructure, and ensuring high-performance trading capabilities.

Candidates should have a strong foundation in Computer Science or Mathematics and Computing with an exceptional CGPA of 7.5+ from IITs. A willingness to engage deeply with C++ coding, data structures, algorithms, and low-level system optimizations is essential. Experience with large datasets, capital markets, design patterns, and kernel/OS level programming will be advantageous.

Key Responsibilities:

• Hands-on C++ development
• Data Structures & Algorithms implementation
• Building low-latency systems
• Concurrency and memory models understanding
• Kernel and OS optimizations
• Large data sets processing and analysis
• Design pattern knowledge

We offer an exceptional compensation package, including a fixed base salary of INR 25 lac plus high variable pay. Additional benefits include competitive profit sharing options, gym/food/travel allowances, and flexible location options.

Join us in Delhi/NCR/Mumbai/Bangalore or internationally in the UK, Singapore, Hong Kong, London, or New York to shape the future of quantitative trading!

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Skills

C++-Programming Data-Structures-&-Algorithms Concurrency-and-Memory-Models Kernel-and-OS-Optimizations Large-Data-Sets-Processing Design-Patterns Low-Latency-Systems-Development Capital-Markets-Understanding High-Performance-Computing