Quantitative Jobs in Web3

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Job Position Company Posted Location Salary Tags

Crypto.com

Remote

$14k - $23k

Kronos Research

Taipei, Taiwan

$28k - $33k

Energi Core Limited

New York, NY, United States

$40k - $92k

GSR

Singapore, Singapore

$28k - $33k

GSR

New York, NY, United States

$28k - $33k

GSR

London, United Kingdom

$28k - $33k

GSR

London, United Kingdom

$36k - $60k

GSR

New York, NY, United States

$36k - $60k

GSR

New York, NY, United States

$36k - $60k

LATOKEN

London, United Kingdom

$30k - $70k

Ripple

San Francisco, CA, United States

$51k - $80k

GSR

London, United Kingdom

$28k - $33k

GSR

New York, NY, United States

$28k - $33k

GSR

London, United Kingdom

$36k - $60k

GSR

Singapore, Singapore

$28k - $33k

Quantitative Researcher Derivative Trading Global Fintech startup

Crypto.com
$14k - $23k estimated

This job is closed

About Crypto.com

Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. With over 10+ million users on its platform today, Crypto.com provides a powerful alternative to traditional financial services, turning its vision of "cryptocurrency in every wallet" into reality, one customer at a time. Crypto.com is built on a solid foundation of security, privacy and compliance and is the first cryptocurrency company in the world to have CCSS Level 3, ISO27001:2013 and PCI:DSS 3.2.1, Level 1 compliance. Crypto.com is headquartered in Hong Kong with a 2000+ strong team.

For more information, please visit www.crypto.com.

Responsibilities

  • research/implement / debug strategies based on tick-level / alternative data High/Mid/Low frequencies delta1 and volatility
  • Monitor live strategy performance/debug issues (i.e. specific to crypto exchanges data)
  • Contribute and maintain python crypto derivatives delta1 and options analytics/trading pricing/backtesting/optimisation library and webapp tools (flask,javascript)
  • Applies machine learning techniques such as feature selection /transformations/normalisation to explore alpha strategies
  • Perform data cleaning and identifying outliers
  • Implement/back-test cutting-edge ideas and models derived from research papers
  • Previous experience in trading firm/hedge fund/investment bank/exchange (2y+)
  • Fresh master/PHD graduates are welcomed
  • Solid cryptocurrency trading experience
  • Masters/PhD in Physics/Maths/Applied Maths/Statistics from top schools
  • Excellent python
  • Very good math/probability background
  • Technical must-haves:
  1. Predictive machine learning implementations ( tensorflow / xgboost/ sklearn)
  2. Backtesting framework (e.g. backtrader)
  3. Scientific , high performance python (3y+)
  4. Experience in working with Pandas dataframes of several Gb (2y+)
  5. Unix scripting, Automation scripts
  6. Git
  • Technical good-to-haves : Flask , Javascript ,HTML, crypto exchanges connectivity /data download , SQL, Xgboost, Tensorflow, Scikit learn, Seaborn
  • We offer an attractive compensation package working in a cutting-edge field of Fintech.
  • Huge responsibilities from Day 1. Be the owner of your own learning curve. The possibilities are limitless and depend on you
  • You get to work in a very dynamic environment and be part of an international team
  • You will get to have involvement in developing brand new products from scratch using latest technologies alongside with a passionate and talented team

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.