Job Description

What you will be doing:

• Assist in the development and optimization of market-making models, focusing on equities and, equity derivatives.
• Conduct back testing and research to improve current models and develop new ones.
• Analyse high-frequency trading data to identify patterns and trends.
• Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements.
• Collaborate with teams to integrate new indicators and models into production environments.
• Work with AWS infrastructure, including S3 buckets and Sage Maker, for data processing and model training.
• Generate and analyse data samples, including time-based and volume-based sampling.
• Ensure the robustness of models by balancing in-sample and out-sample results.

What we are looking for:

• Completed BSc / IT degree or other related fields.
• 5 - 7 years of experience in data analytics, machine learning, quantitative analysis.
• Proven experience working in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems).
• Strong understanding of financial products, capital markets, derivatives, and treasury operations.
• Strong understanding of Equities and trading
• Hands-on experience with coding in Python, and the use of visualisation tools
• Must have experience with Machine Learning
• Must have knowledge of Market Microstructure

Technical Skills:

• Proficiency in SQL, Python, AWS, and Quick sight; experience working with databases for data analysis. 5+ years
• Knowledge of statistical and ML (machine learning) techniques
• Experience with ticketing systems (e.g., Azure Devops (ADO), ServiceNow), change management tools
• 5+ Years of experience within global markets
• Proficiency in machine learning A MUST
• Proficiency in trading algos A MUST

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

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