Quantitative Trader

White Swan Data is a dynamic team of mathematicians, data scientists, and software engineers who are dedicated to refining world-class betting models and researching new ones. Our work bridges three domains: betting and gambling, quantitative research, and software development.

• Collaborate with the quantitative team to design, implement, and optimize quantitative trading strategies.
• Analyze large datasets to identify patterns, trends, and potential opportunities for algorithmic trading.
• Build and refine mathematical models and algorithms for predicting market movements and optimizing trading strategies.
• Develop and implement risk management protocols to ensure the stability and reliability of trading strategies.
• Conduct thorough back testing and simulation of trading strategies to assess performance and validate models.
• Stay up-to-date with the latest developments in quantitative finance, machine learning, and data science to enhance and evolve trading strategies.
• Work closely with cross-functional teams to integrate quantitative models into production systems.
• Monitor live trading strategies, identify and address any issues promptly, and continuously refine models for optimal performance.

• Proven experience in quantitative trading, algorithmic trading, or a similar role.
• Strong programming skills in languages such as Python, R, or C++.
• Proficiency in statistical modeling, machine learning, and data analysis.
• Solid understanding of financial markets, instruments, and trading strategies.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills and the ability to collaborate in a team-oriented environment.
• Familiarity with financial data sources and market data.
• Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, or related disciplines.

• Annual discretionary performance bonus.
• 25 days holiday per annum, plus UK bank holidays.
• Private health & dental insurance.
• Optical cover through Aviva.
• Gympass membership to over 1900 gyms and wellness businesses.
• Breakfast bought in everyday and lunch bought in twice a week.
• Free coffee & snacks at the office.
• Regular team events & socials.