Quantitative Jobs in Web3

246 jobs found

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Job Position Company Posted Location Salary Tags

Binance

Asia

Kraken Digital Asset Exchange

Remote

$81k - $100k

Kronos Research

Singapore, Singapore

Ava Labs

New York, NY, United States

$99k - $140k

Kronos Research

Hong Kong, Hong Kong

$58k - $80k

Kronos Research

Hong Kong, Hong Kong

$25k - $85k

GSR

London, United Kingdom

$81k - $189k

Ripple

London, United Kingdom

$27k - $45k

Injective Labs

New York, NY, United States

$36k - $85k

Kronos Research

Hong Kong, Hong Kong

$58k - $80k

Kronos Research

Hong Kong, Hong Kong

$72k - $91k

Kronos Research

Shenzhen, China

$25k - $85k

CoinDesk

New York, NY, United States

$108k - $147k

Relative Finance

Remote

$70k - $200k

OKX

Hong Kong, Hong Kong

$81k - $100k

Senior Quantitative Developer Python

Binance

This job is closed

Senior Quantitative Developer (Python)

Asia /
Engineering – Backend /
Full-time Onsite or Remote
/ Hybrid

Apply for this job
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

We are looking to hire a Senior Quantitative Developer.
The team is responsible for the development of products and the platform, risk management system and tooling in the Crypto world using cutting-edge technologies. 

The Senior Quantitative Developer will contribute towards implementation of scalable and robust execution strategies, risk assessment, market and trading analysis.

Responsibilities:

    • Contributing towards the full life cycle of the algo development process, especially on algo design, modeling, verifying, and continuous calibration.
    • Partnering with the rest of development team to prepare data sets, improve the effectiveness of trading models and measuring performance.
    • Participating in other analysis projects on pricing, risk management and data mining.

Requirements:

    • Proven track of record of good academic achievement and great learning skills, love to solve challenging problems and work in a fast-paced environment.
    • Advanced academic degree in a quantitative discipline is required. 
    • At least 3 years of experience in Python development.
    • Experience with hedge/mutual fund, trading house, brokerage or investment banks is advantageous.
    • Proficient in Equity / Derivatives / FX Trading analysis & modelling is a plus.
    • Experience with algo trading systems is advantageous.
    • English fluency is required.
Working at Binance
• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
• Fast moving, challenging and unique business problems
• International work environment and flat organisation
• Great career development opportunities in a growing company
• Possibility for relocation and international transfers mid-career
• Competitive salary
• Flexible working hours, Casual work attire

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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.