Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Keyrock | Brussels, Belgium | $28k - $72k | |||
Keyrock | Brussels, Belgium | $28k - $72k | |||
GSR | Singapore, Singapore | $28k - $33k | |||
GSR | New York, NY, United States | $28k - $33k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
GSR | London, United Kingdom | $28k - $33k | |||
GSR | London, United Kingdom | $28k - $33k | |||
GSR | New York, NY, United States | $28k - $33k | |||
GSR | Singapore, Singapore | $28k - $33k |
Keyrock is expanding!
Keyrock was founded in 2017 and has quickly grown from 3 to around 50 people today. As an industry recognized liquidity provider and market maker, Keyrock is a leading European creator of algorithmic trading technology in the digital asset space. With VC backing and a constantly expanding global client base, Keyrock is one of Belgium’s fastest-growing fintech companies.
We’re currently active on over 70 exchanges and count numerous marketplaces and asset issuers among our clients, including some of the best-known companies in the crypto space.
Keyrock's beating heart is its technical team filled with software engineers, digital scientists and PhDs, who themselves are supported by university professors, industry-leading experts and a strong management team. Over the years Keyrock has become a company that is both idealistic and practical.
We are looking for:
A dynamic Quantitative Trader to work in collaboration with our engineers, data scientists, quantitative researchers, and risk managers to monitor and supervise operations related to all trading activities, flows of assets, treasury and risk management. In this role, you will be fully responsible for supervising different algorithms and trading accounts.
Your mission will be to manage, supervise and track all Keyrock’s trading algorithms. We expect you to have a thorough understanding of not only Keyrock’s activities but also macro movements within the markets, and to have the capacity to analyze, assess and communicate in the most efficient, swift and professional manner observations made throughout trading activities.
NB. the position can be remote, but you must be based within two hours (in either direction) of our Brussels office.
What you will be doing
Ensuring effective market making within the operation you oversee
Supporting the deployment of new algorithms, clients and markets
Keeping a global updated view of all algorithmic trading operations
Financial monitoring of alerts
Active trading
Trade execution
Preventative actions by spread adaptations
Keeping track of the treasury
Keeping track of and reporting technical and financial problems and providing support to the dev team for improvement
Skills and experience
Strong analytical ability
Fully comfortable with trading and order books
Able to act and to take decisions under pressure
Digital native
Understanding of digital assets and blockchain technologies
Understanding of financial market structure
Strong attention to details
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Experience with market making softwares such as HummingBot, HaasBot or another is a strong plus
Good communicator
Fluent in English
Past experience trading cryptocurrencies is essential.This doesn’t have to be professional experience - we’re also keen to talk to anyone who trades cryptocurrencies as a hobby.
Our recruitment philosophy
We believe the most important aspect of our recruitment process is self-awareness: we are looking for people who have a clear understanding of themselves and what they are looking for in their professional career. That means that we expect to work with people who not only have the right skills, but who have also made the conscious decision to look for a company in our industry and with our characteristics.
Our offer
A competitive salary package, including 25 days paid vacation plus national holidays
Complete autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence who all receive stock options from the first year
A ton of fun in a thriving and multicultural environment, with colleagues enjoying regular team building activities
Keyrock offers you both a career and a large range of benefits that we will gladly discuss in the course of the application process.
As an employer we are committed to building an inclusive, diverse and non-discriminating work environment. We welcome employees of all backgrounds, ethnicities, genders, creed and sexual orientation. We hire, reward and promote entirely based on merit and performance.
What does a Quantitative trader do?
A Quantitative Trader is a professional who uses quantitative models and statistical analysis to make trading decisions in financial markets
They work for hedge funds, investment banks, proprietary trading firms, and other financial institutions
In Web3, a Quantitative Trader uses quantitative models and statistical analysis to make trading decisions in decentralized finance (DeFi) and other Web3 applications
They work for DeFi protocols, investment funds, and other financial institutions involved in Web3
The job of a Quantitative Trader typically involves the following tasks:
- Developing and testing trading models for DeFi: Quantitative Traders in Web3 develop and test trading models that use statistical analysis, machine learning, and other quantitative techniques to identify profitable trading opportunities in decentralized finance protocols.
- Conducting market research in Web3: Quantitative Traders in Web3 conduct research on decentralized finance protocols, including analyzing on-chain data, tracking current market trends, and assessing the impact of new developments in the ecosystem.
- Managing risk: Quantitative Traders in Web3 manage risk by developing strategies to limit potential losses and control exposure to market volatility in decentralized finance protocols.
- Executing trades: Quantitative Traders in Web3 execute trades based on their models and research findings, using automated trading systems and other tools to maximize efficiency.
- Monitoring performance: Quantitative Traders in Web3 monitor the performance of their trading strategies, making adjustments as needed to optimize profitability in the rapidly changing Web3 ecosystem.