We are a technology and data driven trading firm. As a team of traders, quants, engineers and operations professionals, we develop and execute trading strategies and risk transfer products across commodities, digital assets, gaming and sports.
The market for digital assets is continuing to mature globally, creating opportunities for us to trade and provide liquidity to institutional clients. With our trading platform, we can operate 24/7 across global markets, offering exchanges resilient and responsive pricing while ensuring uninterrupted uptime. We continue to build-out our access across multiple exchanges, allowing us to keep capturing trading opportunities as markets develop across institutions, native crypto exchanges and Defi markets.
Main Responsibilities
- Your core objective is to design and implement systematic trading strategies in crypto and equities
- Identify trading opportunities across multiple strategies by carrying analysis on diversified datasets and market dynamics
- Share and discuss research results, methodology, data sets and processes with other researchers and portfolio managers
- Implement the signals and the relevant datasets within the global execution platform
- Monitor signal behaviour and model performance over time
- Ability to the full strategy research cycle from signal generation to implementation as well as collaborate with current strategies and signals
Your present skillset:
- Minimum 3 years of relevant experience
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
- Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#)
- Proven track record in delivering successful systematic strategies
- Strong understanding of equity market dynamics (slippage/access/pattern) and knowledge in equity portfolio construction
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
- Capacity to multi-task in a fast paced environment while keeping strong attention to detail
- Capacity to work with autonomy within a collegial and collaborative environment
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
- Strong capacity to communicate with technologists, data scientists and traders
- Experience in exploring large datasets across multiple time frames is a plus