Quantitative Jobs in Web3

271 jobs found

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Job Position Company Posted Location Salary Tags

Wehrtyou

Remote

$175k - $300k

Paradigm62

New York, NY, United States

$84k - $100k

Gsrmarkets

Remote

$150k - $200k

Dvtrading

New York, NY, United States

$77k - $105k

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

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

Wehrtyou
$175k - $300k
Remote
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HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure. Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential. HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models. Skills

3+ years of prior work experience in stat-arb required Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics) Exceptional academic credentials Demonstrated ability to conduct research using large noisy real-world datasets Exceptional attention to detail and desire to understand issues deeply Outstanding work ethic and ability to thrive in a fast-paced environment Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

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:

  1. Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
  2. Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
  3. Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
  4. Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
  5. Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.