Data Scientist/Quant trader at Invictus Capital

Data Scientist/Quant trader

Invictus Capital is a global leader in alternative investments and developed the first tokenized cryptocurrency index fund in 2017. Invictus has grown to a team of 30 and has continued to pioneer in the space; we have developed a world-class real-time, 24/7 investment platform supported by over 15,000 investors from 150 countries.

Invictus Capital’s engineering team is responsible for the development, testing and deployment of various software products. All our products are built using microservices architecture design and run fully containerized in the cloud. We mainly code in Python (backend) and ReactJS (frontend). Currently we are looking to expand our engineering team as we are redesigning and rethinking our product suite.

Invictus Capital’s Data Science team is responsible for:

• The maintenance and development of data-driven algorithms dealing with the asset management of our funds, risk management and automation
• The development of proprietary trading and hedging algorithms in the cryptocurrency space
• Putting the trading algorithms in production so that they run in a scalable and robust manner

Crypto is a fast-moving space and we want you to be part of one of the most exciting, innovative companies in Africa. We are looking for a Data Scientist or a Quantatative trader, specializing in Python, to join the Data Science team and assist developing and productionalizing algorithms and models.  

Examples of work are: 

• Reinforcement-learning based cryptocurrency trading AI bot 
• Market-neutral crypto trading algorithms
• Directional trading algorithms using supervised learning and/or rules engines
• Building advanced simulations used in backtesting our own trading algorithms
• High frequency trading algorithms operating on various crypto exchanges

You will be part of the Data Science team at Invictus Capital and your primary focus and responsibility will be productionalization of trading algorithms. You will be responsible for the architecting and developing and maintaining the frameworks which run the models and allow us to scale without any human intervention. 

You have at least 3 years experience working with a Python stack in Linux or MacOS. You need a comprehensive understanding of PostgreSQL as well as experience with DevOps tools like Git, Kubernetes and Docker. Bonus points if you have set up production servers yourself, or have created some cool projects on your own. Your focus will be productionalizing trading strategies so you will need to be a full-stack developer. Most of our solutions are based on GCP and you should know what spinning up Kubernetes deployments and configuring load balancing entails. Because we develop some CPU intensive algorithms you would also have to know how to optimize Python code. Bonus would be if you know C/C++ and have developed dashboards or other front-ends.

You are a self-starter with a keen eye for detail, work well under pressure, and can deliver superb engineering content to a diverse team of data scientists and engineers.