Quantitative Researcher / Trader

Singapore +1
Full time
Remote
Compensation is not specified
Role
Trader
Description

Our team at Kronos is seeking a Quantitative Researcher to collaborate with a group of talented professionals in enhancing our high-frequency trading algorithms and prediction models. We operate in a dynamic work environment, utilizing the latest technology and research to solve intricate real-world challenges. Our organizational structure is flat and performance-driven, ensuring that excellence is duly recognized.

Responsibilities

  • Develop and implement high-frequency trading algorithms for active deployment in real-time trading scenarios
  • Investigate trading concepts by monitoring systems and analyzing market data, microstructure, and trading outcomes for patterns
  • Conduct statistical analysis and research to optimize and enhance trading signals across various markets
  • Enhance existing simulation and research pipelines for higher accuracy and faster time to market
  • Collaborate closely with fellow researchers and software engineers to foster innovation within the organization

Qualifications

  • Advanced education (Bachelor's, Master's, Ph.D.) from a reputable institution in fields such as Computer Science, Mathematics, Statistics, Physics, Financial Engineering, Economics, or other quantitative disciplines
  • Background in data-focused research environments
  • Strong analytical skills with a keen eye for detail
  • Excellent written and verbal communication skills in English
  • Proficient in Python with the ability to quickly adapt and learn C++

Preferred Qualifications

  • Deep understanding of probability and statistics
  • Proficiency in C++ within a Linux environment
Skills Required
Avatar
Kronosresearch
Company size
Not specified
Location
United States
Description
Not specified

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