| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coins.ph | Shanghai, China | $81k - $84k | |||
Numus | Remote | $85k - $120k | |||
Gsrmarkets | Remote | $64k - $86k | |||
Kronosresearch | Remote | $105k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Dvtrading | Remote | $80k - $107k | |||
Alexander Chapman | New York, NY, United States | $77k - $85k | |||
Blockhouse | New York, NY, United States | $110k - $170k | |||
Keyrock | Brussels, Belgium | $54k - $100k | |||
Bitmex | Remote | $117k - $130k | |||
Blockhouse | New York, NY, United States | $122k - $150k | |||
Perena | New York, NY, United States | $72k - $112k | |||
Kronosresearch | Remote | $89k - $106k | |||
Binance | Taipei, Taiwan |
| |||
Pundi X | Singapore, Singapore | $72k - $120k | |||
portofinoltd | London, United Kingdom | $92k - $106k |
Quantitative Developer (C++/Java/Go/Python)
Job Responsibilities
- Develop, optimize, and maintain business systems.
- Interface with, encapsulate, and utilize APIs.
- Develop and maintain core systems with requirements for low latency and high concurrency.
- Engage in microservice governance, middleware management, and GRPC implementation.
- Possess experience in system architecture design.
Requirements
- Quantitative trading experience is a must! Proficiency in any of the relevant programming languages is acceptable.
- Bachelor's degree or above in Computer Science or related fields.
- Proficiency in programming languages such as Go/Python/C++/Java, and familiarity with common design patterns.
- At least 5 years of work experience; prior experience in developing high-concurrency systems is preferred.
- Passion for technology, strong self-motivation, and the ability to quickly learn new things.
- Meticulous, responsible, and strict with code quality.
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:
- 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.
- 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.
- 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
- 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.
- 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.