Quantitative Researcher

Quadeyesecrities; Gurugram District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Quadeyesecrities is seeking experienced Quantitative Strategists to design and implement data-driven trading strategies for global markets. You will work with large datasets, apply advanced statistical and machine learning techniques, and write high-performance code for live deployment.

You will own the strategy lifecycle from research to production in a fast-paced, collaborative environment, handling multiple tasks and collaborating across markets including Asia and the US.

Qualifications

• Engineering degree in Computer Science or related field from premier institutes.
• 1 year of problem-solving skills and quantitative aptitude.
• Solid understanding of data structures, algorithms, and object-oriented programming, preferably in C++ or C.
• Ability to handle multiple tasks in a fast-paced environment.
• Strong communication skills and work ethic.
• Working knowledge of Linux.
• Familiarity with R, Python, or Perl is a plus.
• Open to candidates with up to 1 year of relevant technical experience in tech firms or product companies.
• Exposure to Asian, US, or other non-European markets is a plus.

Responsibilities

• Use advanced statistical and machine learning techniques to identify opportunities from large-scale datasets.
• Design and implement trading strategies in optimized, production-quality code.
• Deploy strategies into production, monitor performance, and refine predictive components.
• Investigate anomalies, explore new ideas, and iterate rapidly to enhance strategy performance.

Skills

Problem solving

Quantitative aptitude

Multitasking

Communication

Market exposure

Education

Engineering degree in Computer Science

Tools

C++

C

Linux

R

Python

Perl

Job description

Job Summary

We are seeking experienced Quantitative Strategists to design, implement, and optimize data-driven trading strategies for global markets. You will work with large datasets, apply advanced statistical and machine learning techniques, and write high-performance code for live deployment. This role offers full ownership of the strategy lifecyclefrom research to productionwithin a fast-paced, collaborative environment.

Responsibilities

• Use advanced statistical and machine learning techniques to identify opportunities from large-scale datasets
• Design and implement trading strategies in optimized, production-quality code
• Deploy strategies into production, monitor performance, and refine predictive components
• Investigate anomalies, explore new ideas, and iterate rapidly to enhance strategy performance

Requirements

• Engineering degree in Computer Science or a related field from premier institutes
• 1 to problem-solving skills and quantitative aptitude
• Solid understanding of data structures, algorithms, and object-oriented programming, preferably in C++ or C
• Ability to handle multiple tasks in a fast-paced environment
• Strong communication skills and work ethic
• Working knowledge of Linux
• Familiarity with R, Python, or Perl is a plus
• Open to candidates with up to 1 year of relevant technical experience in tech firms or product companies
• Exposure to Asian, US, or other non-European markets is a plus

Job Type

Full time

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