Harrington Starr
Software Quant Developer
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A leading quantitative trading firm is looking for a Research Software Developer to join one of their research teams focused on automated electronic trading strategies.
The role is centred around researching and developing predictive signals and trading models, continuously iterating and improving strategies to drive trading performance. You would work closely with researchers and engineers across the full lifecycle — from initial hypothesis and modelling through to production deployment and ongoing optimisation.
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They are ideally looking for someone who is:
- Low ego and collaborative, whilst also capable of working autonomously
- Highly motivated with a strong results-driven mindset
- Interested in or already experienced within systematic trading
- Comfortable applying statistics and machine learning techniques to noisy real-world datasets
- Technically strong from a software engineering perspective, particularly in Java, C++ or Python
- Focused on building scalable, maintainable and profitable trading strategies
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Contact Ciara Clarke for a confidential discussion on this role.
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