| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $64k - $72k | |||
G-20 Group | Zurich, Switzerland | $84k - $106k | |||
Dvtrading | Remote | $200k - $250k | |||
Kronosresearch | Remote | $27k - $75k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gate.io | APAC | $27k - $90k | |||
Kronosresearch | Remote | $103k - $110k | |||
Kronosresearch | Remote | $27k - $70k | |||
Kronosresearch | Remote | $105k - $112k | |||
Kronosresearch | Remote | $105k - $112k | |||
Kronosresearch | Remote | $89k - $106k | |||
Wehrtyou | Remote | $175k - $300k | |||
Aurosglobal | Remote | $84k - $100k | |||
Fmr | Chicago, IL, United States | $120k - $200k | |||
Rock Bund Capital | Remote | $27k - $70k | |||
Auros | New York, NY, United States | $84k - $100k |
Quantitative Research Intern (Singapore) We’re looking for a Quantitative Research Intern with a strong technical foundation and a keen interest in options trading. In this role, you’ll be involved in researching systematic strategies in the options space, building backtests, analyzing market data, and developing tools to support derivatives research. This role is ideal for someone with solid Python/data skills who’s either already familiar with derivatives markets or who is eager to deepen their knowledge of options and apply quantitative thinking in a fast-paced, research-driven environment. Job Description
Assist in the research and development of systematic options trading strategies Build and evaluate backtests using historical options and underlying data Work with large datasets Develop and maintain tools for strategy evaluation, risk modeling, and performance tracking Document findings, present insights, and iterate on research ideas
What We’re Looking For
Currently pursuing a degree in CS, Math, Engineering, Finance, or a related field Strong proficiency in Python, especially with data analysis libraries (NumPy, pandas, etc.) Interest in options markets and derivatives trading Solid understanding of statistics, math, or probability concepts Experience working with structured data (e.g., CSVs, APIs, databases) Self-motivated and comfortable working in a research-driven environment
Good to have
Prior exposure to options theory (e.g., Greeks, Black-Scholes, IV skew, etc.)
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.