Graduate-Trading Technology & Research Engineer
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