Research Internships

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Job Position Company Posted Location Salary Tags

Kronos Research

Singapore, Singapore

$64k - $72k

visa

United States

$116k - $150k

Sentient

United States

$64k - $86k

Integra

Remote

$32k - $54k

Integra

Remote

$32k - $54k

SkyTrade

Remote

$91k - $102k

Coinbase

New York, NY, United States

$32k - $86k

Ethereum Foundation

Remote

$96k

Monad

Remote

$32k - $54k

Andreessen Horowitz

New York, NY, United States

$237k

Genies

San Mateo, Portugal

$237k

a16z

New York, NY, United States

$237k

Ripple

New York, NY, United States

$81k - $95k

Openmesh

Sydney, Australia

$32k - $54k

Openmesh

Sydney, Australia

$77k - $110k

Kronos Research
$64k - $72k estimated
Singapore
Apply

As a Quantitative Research Intern at Kronos Research, you have the opportunity to work with cutting-edge techniques in quantitative finance and machine learning. You will work closely with other world-class talent on improving our advanced high-frequency trading algorithms and prediction models.

Job Description

We are seeking a highly motivated Quantitative Research Intern to join our team in Singapore. In this role, you will:

  • Enhance prediction accuracy through the integration of advanced methodologies in time series models
  • Maintain and improve upon existing simulation and research pipelines for accuracy and expedite time to market
  • Explore trading ideas by monitoring trading systems and analyzing market data, market microstructure, and trading results for patterns
  • Conduct research and statistical analysis to refine and optimize trading signals for different markets
  • Collaborate with the research team to design and implement innovative solutions for complex quantitative problems

Requirements

  • Strong background in a quantitative discipline such as EE/CS/Math/Physics/Quantitative Finance/Financial Engineering/Data Science
  • Prior research experience in AI, LLM, ML related fields
  • Strong interest in the quantitative trading industry
  • Detail-oriented and strong aptitude for working with numerical data
  • Proactive, self-driven, and capable of owning projects from inception to completion.
  • Ability to tackle complex problems with curiosity and creativity, offering innovative solutions
  • Excellent verbal and written communication skills, with the ability to effectively collaborate in a team environment
  • Participation in Kaggle competition or AI projects is a plus
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