Data Scientist - Alternative Data - Capital Fund Management

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

ABOUT THE ROLE

The IT Data Insights Alternative team collaborates closely with Research to perform predictive statistical analyses and derive valuable insight over a wide variety of datasets.

As an expert in data analysis and information extraction, you will be involved in every stage from the exploration to the production, including:

1. Understanding data structures and patterns
2. Extracting actionable features from these data
3. Designing machine learning models to unveil predictive value
4. Understanding business issues to identify new modelling pathways
5. Managing the technical relationships with our providers
6. Contributing to the development and maintenance of Data Analytics Platform
7. Designing robust, efficient, scalable, and monitored production pipelines
8. Ensuring continuous technology watch

MINIMUM REQUIREMENTS

1. You have a master's degree (ideally a Master's in machine learning or data science) from engineering school or university equivalent.
2. You have at least 3 years of experience in a related position.
3. Expertise in the Python data science stack, including Spark, Numpy, Pandas, Matplotlib, Scikit-learn, and Jupyter.
4. You can handle datasets of several terabytes, and you are familiar with cloud technologies, such as AWS.
5. You have experience in machine learning, extending through to the production phase.
6. You are skilled in time series analysis.
7. You are versatile, autonomous, and rigorous, with a team player attitude and good communication skills.
8. You have a professional-level knowledge of English.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.