Qualifications

• Masters degree from a leading institution in a quantitative discipline, such as math, natural sciences, engineering, computer science, and economics
• Two or more years of professional work experience in the finance domain
• Quantitative Skills: We are looking for someone who has a deep understanding of advanced statistical and quantitative methods. Hands-on experience is necessary in conceptualizing real-world problems, implementing models and evaluating results. 
• Continuous Drive for Improvement: Are you naturally inclined to strive for excellence and growth, even after achieving significant accomplishments? 
• Creative Problem Solving and Probabilistic Thinking: Do you find joy in rapidly acquiring new knowledge, integrating ideas from diverse domains, and employing a data-driven and probabilistic approach to test and implement innovative concepts? 
• First-Principles Structured Thinking: We are seeking individuals who possess a strong aptitude for first-principles structured thinking. This involves the ability to break down complex problems into fundamental components, analyze them independently, and arrive at novel solutions based on fundamental principles rather than relying solely on existing knowledge or assumptions.
• Collaborative Mindset: We seek individuals who understand the power of teamwork, valuing the collective strength that surpasses individual contributions.
• Proficiency in Python: We are looking for candidates who demonstrate a high level of skill in writing Python code, especially libraries in the data science ‘stack’ such as scikit, pandas and numpy. This includes adhering to best practices in software development, such as writing clean, modular, and efficient code.
• Quantitative Equities Experience (Preferred But Not Required): While prior experience in quantitative equity strategies is preferred, it is not mandatory for this position. We value candidates who bring diverse backgrounds and perspectives to our team. However, if you have previous experience in quantitative equity research, portfolio management, or related fields, it would be considered a valuable asset. Familiarity with concepts like factor-based risk models, generation of alpha signals, and performance attribution will allow you to start contributing sooner to our quantitative investment strategies.