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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
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.