| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $89k - $106k | |||
Wehrtyou | Remote | $175k - $300k | |||
Aurosglobal | Remote | $84k - $100k | |||
Fmr | Chicago, IL, United States | $120k - $200k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Rock Bund Capital | Remote | $27k - $70k | |||
Auros | New York, NY, United States | $84k - $100k | |||
Woo | Remote | $27k - $75k | |||
Selby Jennings | New York, NY, United States | $84k - $150k | |||
Neutrl Labs | New York, NY, United States | $87k - $87k | |||
Gate.io | APAC | $90k - $96k | |||
Swissblock | Baar ZG | $84k - $100k | |||
Bitmex | Remote | $117k - $179k | |||
Bitmex | Remote | $117k - $179k | |||
Dvtrading | Remote | $105k - $180k | |||
Presto | South Korea | $105k - $180k |
This is a fully remote internship position, candidates based in Hong Kong or other cities in Asia are preferred. Please note that we don't have physical office in HK Internship can start at your preferred date upon discussion with the team. For students who don't reside in Asia, please note that you may be required to interview and conduct sync-up meetings in Asia hours Job Description We are looking for Quant Researcher intern that has strong coding skills (Python, Golang or C++), a demonstrable curiosity about mid/long term frequency trading, quantitative trading, and some knowledge of cryptocurrency trading. The role will involve a significant amount of research and development when testing and asset trader on developing new trading strategies. You will also be heavily involved in researching, implementing, and executing strategies, and automating them where applicable. Requirements
An MSc / PhD in a research-intensive STEM field (Computer Science, Statistics, Mathematics, Physics, Engineering etc) Degree from a top-tier university A passion for developing quantitative trading strategies as well as analyzing and drawing conclusions from large datasets Self-motivated and strong research mindset You are required to finish several research projects independently with guidance from the team during this internship period Strong coding skills essential, 2 to 5 years of experience coding in Python, Golang,or C++ is required (test required) The candidate must have completed at least a 3-month internship or full-time position at a proprietary trading firm or hedge fund as a Quantitative Researcher/Trader, with prior involvement in alpha-related projects during the internship (school projects are not considered, nor is experience as a data analyst).
Desirable Skills
Experience with Machine Learning, Natural Language Processing or Deep Learning Knowledge of the DeFi and Web 3.0 ecosystem
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.