Crypto Hedge Fund
Base 150k-200k USD + Performance-based bonus
Our client is seeking a Quantitative Developer to join their team and play a pivotal role in constructing cutting-edge trading systems and tools for managing their digital asset portfolio. As a prominent player in the cryptocurrency market, they are responsible for a significant portion, contributing 5-10% of the global trading volume.
- Contribute to the architectural design of our client's Data and Execution System.
- Collaborate closely with traders and strategists to develop and enhance our client's sophisticated library of execution algorithms.
- Create and manage low-latency, real-time market data feed systems.
- Develop and oversee an execution system that interfaces with more than 10 APIs.
- Analyze historical trade data generated from trading activities, with a particular focus on liquidity, market impact, and trade performance.
- Enhance visualization tools for monitoring our clients portfolio and trading activities.
- Collaborate with colleagues to elevate technology standards and consistently implement best practices.
- Exceptional intelligence and diligence.
- Practical experience with data processing tools such as Node.js, MongoDB, SQL, pandas, or similar technologies.
- Experience in developing low-latency systems, including RPC, IPC, REST, WS, MQ, and more.
- A strong grasp of software engineering best practices, such as Agile software development, test-driven development, unit testing, code reviews, and design documentation. Knowledge of ECS, EC2, Kubernetes, VPC, and related technologies is highly desirable.
- Outstanding team-working and communication skills.
- A preference for working within a lean team in a fast-paced environment.
- Prior experience in quant development (the role is dependent on experience level) is considered a valuable asset.
- Knowledge of computer security is advantageous.
- Familiarity with cryptocurrencies is a plus.
- Experience with distributed systems is also beneficial.
- A minimum of 2 years of practical experience with Elasticsearch, Logstash, and Kibana.
- At least 1 year of practical experience with Docker, Kubernetes, and Jenkins.