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

📍4+ years of professional engineering experience in a quantitative role, preferably within the financial services and quant trading. 📍Proficient at writing code in Python or similar interpreted languages 📍Excellent understanding of statistical modeling, machine learning, and optimization algorithmsExperience with scientific computing packages such as Numpy/Scipy, Pandas, etc. 📍Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail. 📍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