Graduate-Trading Technology & Research Engineer

Open 30d


About Quadeye:
Quadeye is a leading global algorithmic trading firm operating across major exchanges. Our engineers transform deep market insights into automated trading strategies across multiple asset classes using advanced mathematical and engineering techniques. We are a team of entrepreneurial thinkers, strong coders, and problem-solvers who build resilient, robust, and ultra-fast trading systems. Quadeye fosters a culture of curiosity, high ownership, collaboration, and innovation—supported by world-class mentors, technology, and resources.



Role Overview(Systems Engineer):

We are looking for exceptional Systems Engineers to design and optimize high-performance trading systems that power our proprietary strategies. You will work on systems engineered for nanosecond-level performance and contribute to building a reliable and scalable trading infrastructure. This role is ideal for individuals eager to innovate, solve complex technical challenges, and accelerate their career in a high-impact environment.


Role Overview(Quantitative Strategist):

We are looking for high performing individuals who are eager to learn, invent and make some serious money in the process.

We are looking to hire Quantitative Strategists who are excited to develop automated strategies for proprietary trading. The strategies would be targeted to explore different exchanges, asset classes and frequencies. You will be working with other exceptional software and quantitative professionals and solve some of the most challenging engineering problems.



Requirements

Responsibilities(Systems Engineer):

  • Design and implement real-time trade execution and risk systems with nanosecond latency requirements

  • Identify and eliminate performance bottlenecks to make systems faster and more efficient

  • Research opportunities to cut latency across OS, kernel, networking stack, kernel bypass, CPU architecture, algorithms, and cache-efficient data structures

  • Collaborate with engineers and quants to build robust, scalable system components

Responsibilities(Quantitative Strategist):

  • Using cutting edge statistical and machine learning techniques to identify opportunities from terabytes of data

  • Design and implement trading strategies into a highly-optimized and nimble code

  • Productionize your strategies; investigate, observe and devise new ideas for better and faster predictions


Ideal Candidate(Systems Engineer):

  • Engineering degree in Computer Science or related fields from premier institutes

  • Strong understanding of data structures, algorithms, and OOP (C++/C preferred)

  • Strong problem-solving skills and programming fundamentals

  • Ability to multitask and work in a fast-paced, dynamic environment

  • Good communication skills and strong work ethic

  • Working knowledge of Linux; familiarity with Python, Perl, R, or functional programming is a plus

Ideal Candidate(Quantitative Strategist):

  • Good problem solving skills and quantitative aptitude

  • Strong background in data structures, algorithms and object-oriented programming, preferably in C++ or C

  • Ability to multitask and thrive in a fast-paced environment

  • Strong work ethics and communication skills

  • Working knowledge of Linux

  • Knowledge of Python,Perl, R or functional programing is a plus

Eligibility Criteria:

  • Minimum CGPA: 8.5

  • No active backlogs during application or selection

Eligible Courses:

  • B.Tech Computer Science & Engineering

  • B.Tech Mathematics & Computing

  • B.Tech Electrical Engineering

  • Dual Degree programs in these disciplines



Benefits

Benefits:

  • All meals & snacks provided

  • Group health and term insurance

  • Annual offsite & team parties

  • 6 weeks paid vacation

  • In-house physiotherapist

  • Uber credits

  • Cult membership

  • Free annual health checkups