Research Web3 Jobs in United States

422 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Research Web3 Jobs in United States
Job Position Company Posted Location Salary Tags

Alldus

United States

$84k - $100k

Anagram Ltd

United States

$105k - $111k

Blingy Lab

United States

Glocap

United States

$160k - $180k

Jito Labs

United States

$32k - $43k

Parity Technologies

New York, NY, United States

$54k - $82k

3x Capital

Miami, FL, United States

3x Capital

Miami, FL, United States

ZRG Partners, LLC

New York, NY, United States

Ripple

San Francisco, CA, United States

$40k - $50k

H.C. Wainwright & Co., LLC

New York, NY, United States

Up Top Search

United States

$150k - $350k

dYdX

New York, NY, United States

X4 Alpha

New York, NY, United States

Paraform

San Francisco, CA, United States

$120k - $180k

Alldus
$84k - $100k estimated
United States US
Apply

My client is a small start up that is data science & research oriented company dedicated to understanding and designing next-gen decentralized networks. They are backed by top tier Crypto VC's. They use agent based and RL based simulations to optimize defi and gaming protocols. Their objective is to use cutting-edge data modeling to maximize their profitability while simultaneously ensuring economic security.


Role:

They are looking for a Quant Researcher with strong modeling and coding skills and domain expertise in Algo Trading and/or High Performance computing (cloud based).


You will be responsible for shaping and scaling their simulation platform that covers various technologies (CeFi, DeFi, GameFi etc) trading platforms and financial products (spots, derivatives, ETPs etc.)


Minimum Qualifications

  • Quantitative degree in Math, Stats, Comp Sci, Physics etc
  • PhD preferred
  • Advanced Python coding skills
  • Experience with Google Cloud Platform
  • Experience developing quant trading models at scale with short time horizon in top tier quant firm or traditional finance firm
  • Experience scaling ML (feature store, mlops, parallelization, vectorization etc)