Quantitative Developer Jobs in Web3

50 jobs found

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

Receive emails of Quantitative Developer Jobs in Web3
Job Position Company Posted Location Salary Tags

Kronos Research

Taipei, Taiwan

$63k - $75k

Nogle

Taipei, Taiwan

$122k - $153k

Wintermute

London, United Kingdom

$84k - $100k

Tokemak

Remote

$200k - $300k

Binance

Asia

Keyrock

Brussels, Belgium

$72k - $100k

Binance

Asia

Relative Finance

Remote

$70k - $200k

Ripple

London, United Kingdom

$81k - $100k

Ripple

London, United Kingdom

$81k - $100k

GammaSwap Labs

Remote

$200k - $300k

Ripple

London, United Kingdom

$72k - $87k

Ripple

Dublin, Ireland

$72k - $87k

Ripple

Toronto, Canada

$72k - $75k

Quantitative Developer CeFi

Kronos Research
$63k - $75k estimated

This job is closed

Job Description

As a Quantitative Developer at Kronos, you will directly work as a team member in a world-class trading team, providing technical support and growing with the team. You will collaborate directly with quantitative researchers to expand trading opportunities and implement high-frequency trading algorithms. You will leverage cutting-edge technology to solve complex real-world problems in a fast-paced environment. Being directly affiliated with a trading team means your rewards will be directly tied to the team's performance, presenting a valuable opportunity for you as the bull market approaches.

Responsibilities

  1. Strategy Implementation and Maintenance: Develop new trading logic to address specific trading requirements. Maintain and optimize existing trading strategies. Provide technical support for the long-term development of the trading team.
  2. Integration and Maintenance of Exchange APIs: Integrate and maintain exchange APIs. Optimize API connections for low-latency and high-performance trading systems. Ensure the security and stability of API connections. Integrate the API with existing trading programs. Stay updated on changes in exchange APIs and follow industry best practices.

Requirements

  1. Degree: Advanced training (Bachelor, Master, Ph.D.) from a top school in Computer Science, Math, Statistics, Physics, Financial Engineering, Economics, or another highly quantitative field.
  2. Programming Proficiency:
    • Programming Languages: Proficiency in modern C++ and Python within a Linux environment.
    • Software Engineering: Expertise in object-oriented programming, design patterns, and proficiency in data structures and algorithms.
    • Quality Assurance: Capable of producing readable, clean, well-structured, maintainable, and efficient code.
    • Independent Working Capability: Able to independently implement features, write testing scripts, and adeptly resolve issues.
  3. API Proficiency:
    • Comprehensive understanding of RESTful APIs, WebSocket, HTTP, WebSocket, FIX, GRPC, and other communication protocols.
    • Understanding of signature algorithms, like ECDSA.
    • Knowledge of API versioning, error handling, and optimization techniques for API performance.
    • Strong problem-solving skills to troubleshoot and resolve technical issues that may arise during API integration.
  4. Personality:
    • Enthusiastic and actively passionate about trading.
    • Excellent problem-solving skills and attention to detail.
    • Ability to work in a fast-paced environment and adapt to changes in the financial landscape.
    • Display a high level of accountability and responsibility.
    • Strong communication skills and a proven ability to engage effectively with team members.

Preferred Qualifications

  • Understanding financial markets, exchanges, high-frequency trading, and cryptocurrencies, along with practical trading experience in financial markets or related domains.
  • Over 2 years of hands-on experience in C++. Demonstrated expertise in low-latency C++ programming with hands-on experience in API integration.
  • Understanding DeFi and smart contracts.
  • Proficiency in SQL and bash programming.

What do quantitative developers do?

Quantitative developers, also known as quants, are professionals who work in the financial industry and use their expertise in computer programming and quantitative analysis to develop and implement financial models and trading strategies

They work closely with quantitative analysts and traders to design, implement, and test complex algorithms and financial software

Quantitative developers in Web3 utilize their programming skills and quantitative analysis expertise to build decentralized systems and applications

They work on developing and implementing financial models, trading algorithms, and smart contracts that can be used to power decentralized finance (DeFi) platforms and other Web3 applications

Some specific tasks that a quantitative developer may be responsible for include:

  1. Developing financial models and algorithms: Quantitative developers use programming languages like Python, C++, and Java to design and implement financial models and algorithms that can be used to analyze data and make investment decisions. They may work with quants to translate mathematical models into executable code.
  2. Building and maintaining trading systems: Quantitative developers may build trading systems that automatically execute trades based on pre-programmed algorithms. They may also be responsible for maintaining these systems and ensuring that they are running efficiently and accurately.
  3. Developing decentralized financial products and services: Quantitative developers work on designing and implementing smart contracts and other financial models that can be used to create decentralized financial products such as decentralized
  4. Building blockchain infrastructure: Quantitative developers may work on developing the underlying blockchain infrastructure that powers decentralized applications. This may involve developing consensus algorithms, building smart contract execution platforms, and designing secure and efficient data storage solutions.
  5. Conducting data analysis: Quantitative developers may work on analyzing on-chain data from decentralized platforms to identify trends and inform investment decisions. They may also develop new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.