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
Skills Required
- Engineering degree in Computer Science or a related field
- Strong understanding of data structures, algorithms, and object-oriented programming
- Strong problem-solving skills and programming fundamentals
- Ability to multitask in a fast-paced, dynamic environment
- Good communication skills and strong work ethic
- Working knowledge of Linux
- Minimum CGPA of 8.5
- No active backlogs during application or selection
- Enrollment in B.Tech Computer Science and Engineering, Mathematics and Computing, Electrical Engineering, or an eligible dual-degree program
- Programming experience in C++ or C
- Knowledge of Python, Perl, R, or functional programming
What We Do
Quadeye combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. By having deepest possible understanding of the financial markets and translating that understanding into great automated trading strategies, we have built a distinct track record of success. We trade across many asset classes and instruments, using a variety of models, across the globe.
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