Requirements

Expected technologies

Python

Unix

Optional technologies

Google Cloud Platform

SQL

Operating system

Windows

macOS

Our requirements

• Minimum 4+ year of demonstrated experience in Machine Learning and developing and maintaining projects written in Python, including libraries such as numpy, pandas, scikit-learn, xgboost, matplotlib, etc.
• Practical understanding of databases and SQL.
• Unix platform experience.
• Thirst for knowledge, hunger to learn, and willingness to take on new challenges.

Optional

• Advanced university degree in computer science, engineering, physics, mathematics, finance or a related field.
• Knowledge of Google Cloud Platform.
• An eye for graphical design and the visual display of quantitative information.
• Professional experience in finance markets.

Your responsibilities

• Advanced machine learning, statistical and analytical models
• Engineering, automating and optimizing large scale compute pipelines, allowing for the analysis and
• training of models over huge datasets,
• Developing and maintaining financial analytics libraries,
• Prototyping, building and deploying on on-prem and cloud-based research infrastructure,
• Exploring and creating new data analysis and visualisations, preparing dashboards and other ways to
• deliver research insights.