Quantitative Analyst

• Explore and incorporate signals into the investment strategy.
• Perform back-testing.
• Build a resilient data infrastructure to support investment, research, and operational activities.
• Create front-office systems that seamlessly integrate research findings, stock analysis, portfolio management, and trade execution.

• Possess a minimum of a Bachelor's degree.
• Have applicable experience in areas such as quantitative research and development, data analytics and engineering, or software development, preferably in the investment or hedge fund sectors.
• Proficient in Python.
• Familiarity with Docker or similar containerization tools.
• Knowledge of DevOps tools is advantageous.
• Understanding of VBA is a bonus.
• Familiarity with cloud computing infrastructure is a positive attribute.
• Fluent in the English language.

• Display a strong interest in investing, statistics, and data science.
• Demonstrate a meticulous approach and a strong focus on accuracy and attention to detail.
• Possess strong numerical skills and a logical problem-solving mindset.
• Show enthusiasm for technology and development.
• Exhibit creativity and the ability to think outside the box and see the broader perspective.
• Have excellent organizational skills and efficiency, particularly in managing regular, time-sensitive tasks.
• Be proactive, quick to learn, and comfortable working independently while also being a team player.
• Demonstrate a willingness to work hard and commit to long-term success.
• Possess effective communication skills.
• Maintain the highest ethical standards and a natural understanding of prioritizing the client's needs.

Selby Jennings