Quantitative Developer Jobs in Web3
40 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Ripple | London, United Kingdom | $81k - $100k | |||
GammaSwap Labs | Remote | $200k - $300k | |||
Ripple | London, United Kingdom | $72k - $87k | |||
Ripple | Dublin, Ireland | $72k - $87k | |||
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 | 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 |
Senior Quantitative Developer, Liquidity
London, England, UK or Toronto, ON, Canada
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Ripple’s mission is to enable payments every way, everywhere for everyone. We believe connecting traditional financial entities like banks, payment providers and corporations with emerging blockchain technologies and users is the path to an open, decentralized, and more inclusive financial future. This Internet of Value gives any internet-enabled person, application or device access to financial services that are transparent, fast, reliable, and cheap. Delivering this vision is a challenge of extensive scale spanning $155 trillion in annual cross border fiat payments and the $1.5 trillion market of digital assets that has grown 10X in the last year.Â
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We are looking for a Senior Quantitative Developer to optimize the way Ripple interacts with digital asset markets. You will leverage your quantitative finance expertise, partnering closely with Applied Scientists and Software Engineers on our team to accelerate the pace at which we automate and optimize Ripple’s interactions with crypto markets. This will entail integrating liquidity strategies into our trading platform, and building the research tools to optimize their performance. You will be a source for knowledge about financial markets, helping to level-up teammates with a wide range of experiences. You will contribute and maintain production-level code, raising the bar for engineering standards to compliment your quantitative finance subject matter expertise. You will apply your quantitative finance knowledge to deliver last-mile solutions for new problems that have a direct impact on Ripple’s business outcomes. Ideal candidates will have demonstrated technical excellence in designing, building and delivering reliable markets tools and analysis, based on a deep understanding of FX and crypto market structure. You can clearly identify feature requirements for solutions, even when problem statements are ambiguous. You are adept at communicating across teams to drive cross-functional alignment and have the ability to think through how markets will adapt to leverage paradigm-shifting technology. You have experience as a quantitative developer, trading systems engineer or data scientist and a passion for the craft of software engineering.Â
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 WHAT YOU’LL DO:
- Conduct analysis suggesting optimal ways to operate in crypto markets and prove it out with data
- Build end-to-end applications that analyze market risk and monitor liquidity in real-time
- Own Ripple’s market data consumption needs, partnering with trading platform teams to build a best-in-class Market Data Database and the pipelines to ensure fellow Liquidity Engineering team members get the most out of it
- Connect the dots between Markets and engineering - identify the problems most worth solving, design their technical solutions, and deliver those solutions with the highest level of operational excellence
WHAT WE’RE LOOKING FOR:
- 4-8+ years experience developing market data analytics and trading data tools in markets, ideally in traditional FX and digital assetsÂ
- Experience with Python, Java, SQL and cloud data platforms like AWS, GCP, or Databricks
- Familiarity with traditional macro / FX market structure and liquidity landscapeÂ
- Hands-on experience with Kubernetes or other containerized software design tools a plus
- A collaborative coder, comfortable with Git and code reviews
- Excellent written and verbal communication skills
- Attention to detail and a commitment to excellence
- Ability to work cross functionally with internal stakeholders
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WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- Ripple is Flexible First: you have the option to work from home, from our offices, or a combination of the two around our centers of gravity (15 global offices).
- Weekly all-company meeting - business updates and ask me anything >
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- Twice a quarter R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
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.