Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Relative Finance | Remote | $70k - $200k | |||
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Ripple | London, United Kingdom | $81k - $100k | |||
GammaSwap Labs | Remote | $200k - $300k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Ripple | London, United Kingdom | $72k - $87k | |||
Ripple | Dublin, Ireland | $72k - $87k | |||
Ripple | Toronto, Canada | $72k - $75k | |||
BlockFi | New York, NY, United States | $54k - $90k | |||
LATOKEN | London, United Kingdom | $30k - $70k | |||
Ripple | San Francisco, CA, United States | $51k - $80k | |||
BitMEX | Hong Kong, Hong Kong | $30k - $70k | |||
BitMEX | Singapore, Singapore | $30k - $70k |
This job is closed
With this philosophy, Relative Finance is aiming to bring the next generation of DeFi derivatives products to market - check us out at https://relative.fi
We’re an early-stage, venture-backed team, hiring engineers with a strong sense of direction & ownership. We are looking for a skilled and passionate quantitive analyst to join our team as we grow and expand our protocol and product offering.
- Strong development background using Python, Java, C++ or equivalent
- 1+ years of experience in quantitive finance
- Ability to quickly iterate and ship code using test-driven development patterns
- Exceptional judgement, problem solving skills and an analytical mindset
- You may not know much about DeFi but want to dig deeper and learn more, however, good experience and an established network in crypto markets is preferred
- Design sustainable liquidity solutions, protocol incentives, and formulaic parameter updates for liquidity pools deployed on the platform
- Run simulations to track and measure risk across market scenarios
- Ensure code and data quality to showcase reproducible work
- Take control of the creation and maintenance of risk management frameworks including stress tests, risk analysis, and reports to support product architecture
- Create and maintain a back-testing framework
- Envision and develop features to help build new applications
- Demonstrate a strong quantitive background with experience in modelling and risk management
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.