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Quantitative Research Analyst

4 weeks ago

New York, New York, United States Injective Labs Full time

About Injective Labs

We are a pioneering force in Web3 enabled finance, driving innovation through our work on Injective, a leading blockchain platform. Our mission is to create a seamless and interoperable ecosystem for decentralized finance applications.

As a Quantitative Research Intern at Injective Labs, you will collaborate with our research team to develop and implement statistical models and machine learning algorithms.

This internship offers a unique opportunity to gain hands-on experience in quantitative research, statistical modeling, and data analysis within the dynamic field of DeFi.

Key Responsibilities:

  • Assist in developing and implementing statistical models, machine learning algorithms, and other quantitative methodologies.
  • Conduct research and statistical analysis to identify market opportunities and inform protocol decisions.
  • Support research efforts to improve signals across a wide range of DeFi products and technologies.
  • Work collaboratively with a cross-functional team of developers, engineers, product managers, and leadership to evolve and execute the product roadmap.
  • Run simulations and estimate market impact of quantitative models, for both liquid and illiquid assets.

Qualifications:

  • Currently pursuing or recently completed a Master's or Ph.D. degree in Math, Statistics, Physics, Computer Science, or a related field.
  • Quantitative research/analysis skills with coursework or project experience.
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems.
  • Ability to write and implement statistical ideas in Python, R, C++, or related programming languages.
  • Strong communication skills and ability to work effectively in a team environment.

We are an equal opportunity employer and do not tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.