Role Overview

📍You will research, examine market trends and data to conclude based on this information and make modeling decisions. 📍You will be designing and putting into action quantitative models in addition to creating statistical tools and software. 📍You will be conducting regular statistical analyses such as risk analytics, default risk modeling and other similar tasks. 📍You will also need to perform some coding that includes predictive modeling or machine learning. 📍You must consider the model's parameters and use various techniques to gather data. 📍You will be testing new versions of models and analytical software. 📍You’ll be collaborating closely with fellow quants, traders, mathematicians and quantitative developers to come up with the most effective tactics. 📍You’ll be keeping up with the latest trends, market dynamics, financial system efficiency and other relevant topics via consulting with experts. 📍You’ll be working with tech stack & tools such as Python, Jupyter Notebooks, GitLab for documentation, Grafana for visualizations

Skills required & Practicals

📍Strong probabilistic thinking, therefore coming from either mathematics, physics, probability, statistics, data science background is beneficial 📍Risk- friendly, can do reasonable bets 📍Good communication skills (need to be articulate about their ideas) 📍Fluency in English is necessary 📍Programing skill in Python, R, Jupyter Notebook and/or ML tech PyTorch is nice to have 📍No need to have previous experience as quant trader, this can be learned, but is is a huge advantage