The Quantitative Trading team of Bittesseract is a global, data focused team driving the firm’s expansion across different asset classes and areas.

The team practices the full life cycle of algorithmic trading solution development from the early stages of data cleaning & validation to deployment and reconciliation. Our engagements typically require working with large timeseries datasets from different asset classes to support Alpha development and deployment

Since we work with such a diverse portfolio of assets (Crypto, Commoditties, Equities, Fixed Income, FX) , you can expect to take on a wide range of quantitative and technological challenges, making this a great place to develop your technical and business knowledge. Our department provides the opportunity and tools necessary to accelerate the alpha generation process in diverse asset classes and investment scenarios.

Key responsibilities:

• Collect, clean and analyse a large amount of structured and unstructured data from a variety of data sources.
• Analyse and mine the data using different analytical techniques to identify both known and unknown
• Carry out both reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems and visualisation libraries
• Develop algorithms and solutions to identify known and unknown investment opportunities
• Execute end-to-end lifecycle of Algorithmic Trading development – Data extraction & cleaning, backtesting, paper-trading, deployment, reconciliation, risk management

To qualify for the role, you must have:

• Strong academic qualifications in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience
• Demonstrate proficiency in Python, C++, SQL and a broad awareness of Visualization techniques
• Strong problem solving, analytical, technical, and interpersonal skills.
• Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data
• Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds
• Excellent documentation skills with the ability to prioritize when working on multiple engagements.

Ideally, you’ll also have:

Previous programming experience and experience with any of the below areas would be an added benefit:

• Statistical techniques (regression, clustering etc.);
• Machine learning, pattern recognition, NLP etc;
• Databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;
• Azure/AWS cloud computing platform;

We are looking for tenacious and curious individuals with a desire to learn about financial markets and develop systematic trading solutions. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships.

For your application to be considered, please upload both your resume and transcript.

Applications are reviewed on a rolling basis and we regret to inform that only shortlisted applicants will be notified.

About Bitterssetact

Bittesseract is a private Systematic Trading Financial Fund where we create cutting edge trading and portfolio management solutions across all asset classes. We specialize in developing state-of-the-art alpha driven portfolio solutions through quantitative and machine learning techniques.

The Quantitative Trading team of Bittesseract is a global, data focused team driving the firm’s expansion across different asset classes and areas.
The team practices the full life cycle of algorithmic trading solution development from the early stages of data cleaning & validation to deployment and reconciliation. Our engagements typically require working with large timeseries datasets from different asset classes to support Alpha development and deployment