| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
Blockchain📍 Remote | $105k - $125k | |||
| $80k - $100k | ||||
Okx📍 Remote | $105k - $150k | |||
| $105k - $125k | ||||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
Dvtrading📍 Remote | $64k - $72k | |||
Kronosresearch📍 Remote | $105k - $112k | |||
| $150k - $200k | ||||
| $72k - $99k | ||||
Dvtrading📍 Remote | $100k - $200k | |||
Dvtrading📍 Remote | $90k - $100k | |||
Dvtrading📍 Remote | $100k - $200k | |||
Kronosresearch📍 Remote | $105k - $112k | |||
| $64k - $100k | ||||
| $105k - $120k | ||||
| $90k - $144k |
Blockchain is connecting the world to the future of finance. As the most trusted and fastest-growing global crypto company, it helps millions of people worldwide safely access cryptocurrency. Since its inception in 2011, Blockchain has earned the trust of over 90 million wallet holders and more than 40 million verified users, facilitating over $1 trillion in crypto transactions.We’re looking for a Quantitative Trader to join our Market Making desk in London. In this role, you will help run, analyse, and develop the automated strategies that provide liquidity across digital asset exchanges and trading pairs. You will work directly with senior traders, quants and engineers, and take on strategy ownership as part of a compact and highly successful team. You will sit at the intersection of trading, data and technology. This role suits someone with strong quantitative and coding skills, a real curiosity about how markets work, and the drive to grow into a fully fledged quantitative trader in a fast-moving 24/7 market. WHAT YOU WILL DO Market Making Operations
Research and develop market making strategies across CEX and DEX order books / AMM structures to be the most competitive market making desk we can be Work with a successful trading team at the intersection of markets and one of the oldest crypto companies in the world Monitor automated market-making strategies across multiple exchanges and trading pairs, flagging issues and escalating where needed Learn how strategy parameters work, including spreads, quote sizes, inventory management and risk limits, and adjust them within agreed limits under senior guidance Help troubleshoot live trading issues by working with traders and engineers to find root causes
Trading Analytics
Run post-trade analysis on execution quality, fill rates, inventory and profitability, and present your findings to the desk Write Python and SQL queries to pull, clean and analyse trading and order book data Help with backtesting and research into strategy improvements alongside traders and quantitative developers
Reporting & Automation
Build and maintain dashboards and reports that track trading KPIs such as uptime, spread, depth, volume and P&L Use AI tools and automation to make routine monitoring, alerting and reporting more efficient Suggest process improvements and new ideas to improve desk performance
Client & Internal Support
Prepare performance reports that show whether client strategies are meeting agreed KPIs Contribute to market colour for clients and internal stakeholders, covering trading flows, liquidity conditions and price movements
WHAT YOU WILL NEED
Solid experience working in trading, quantitative analysis, data analysis or a related field; graduates and internship experience in trading or quant roles are welcome Technical Skills: Working proficiency in Python and/or SQL; exposure to Rust or another systems language is a plus Tools: Comfortable using AI tools, data visualisation and automation to improve workflows Mindset: intense, and eager to learn Communication: Ability to explain findings clearly to traders, and engineers
COMPENSATION & PERKS
Full-time salary based on experience and meaningful equity in an industry-leading company This is a role based in our London office, with a mandatory in-office presence four days per week. Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year. ClassPass Unlimited vacation policy; work hard and take time when you need it Apple equipment The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field Flexible work culture Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time. The personal data you provide will be used by Blockchain to process your application. To learn more about your rights, see our Applicant Privacy notice.
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.