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Job Views:  
777
Applications:  78
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Job Code

1679932

Minix Fintech - Quantitative Researcher & Trader - HFT/MFT

MERIL LIFE SCIENCES PRIVATE LIMITED.2 - 10 yrs.Anywhere in India/Multiple Locations
Posted 3 weeks ago
Posted 3 weeks ago

Founded: Sept 2023

Team Size: 70 - 80

Experience: 2+ Years

Role Overview:

We are seeking a highly skilled Quantitative Trader to develop and execute high and mid-frequency trading strategies in global markets. The ideal candidate will have a strong background in market microstructure, ultra-low-latency execution, and statistical arbitrage.

As part of our trading team, you will be responsible for designing, back-testing, and optimizing trading algorithms, leveraging cutting-edge AI and high-performance computing to capitalize on ultra-short-term market inefficiencies. You will work closely with quantitative researchers and engineers to enhance execution speed and efficiency while managing real-time trading risk.

Key Responsibilities:

As a Quantitative Trader, your responsibilities will include:

- Designing, implementing, and deploying high-frequency trading algorithms.

- Typical strategies deployed include Alpha-seeking strategies and Market Making.

- Rigorously back-test strategies on in-house research infrastructure.

- Creating tools to analyze data for patterns.

- Contributing to libraries of analytical computations to support market data analysis and trading.

- Developing, augmenting, and calibrating exchange simulators.

Preferred Qualifications:

We're seeking candidates with:

- A degree in Computer Science, Mathematics, or Engineering from a leading institution.

- 2+ years of relevant work experience.

- Exceptional analytical and problem-solving skills.

- Proficiency in programming, particularly in C++ or C.

- Working knowledge of Linux, Python, and shell scripting.

- A curious mindset and a passion for understanding complex systems.

- A disciplined and consistent work ethic.

- Strong communication and interpersonal skills.

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Job Views:  
777
Applications:  78
Recruiter Actions:  77

Job Code

1679932