Responsibilities

📍Conduct quantitative research, utilizing a broad range of methods and sophisticated data analytics tools to develop statistical models and improve strategies. 📍Work closely with cross-functional teams to understand their data requirements, ensure the data integrity, and offer analytical support. 📍Develop predictive models and machine learning algorithms, interpreting the outcomes and providing actionable insights to the business stakeholders 📍Present research findings and data insights to non-technical stakeholders in a clear, concise, and accessible way. 📍Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in quantitative research and data analysis 📍Assist in designing and implementing new data models and algorithms, improving the overall effectiveness of our quantitative research efforts.

Qualifications

📍Solid experience in quantitative research or a related role, preferably within the Financial Services industry and ideally quant trading. 📍Strong proficiency in programming languages such as Python, R, SQL, or Matlab. 📍Excellent understanding of statistical modeling, machine learning algorithms, and data mining techniques. 📍Strong problem-solving skills, coupled with attention to detail and a genuine interest in deriving insights from data. 📍Excellent verbal and written communication skills to effectively articulate findings and insights to team members and stakeholders. 📍Ability to work independently and within a team, manage multiple projects and meet deadlines. 📍Strong communication skills and the ability to work collaboratively in a distributed team environment