Data Scientist - Options

The role

You will support an Options trading stream as part of the Data Search & Analytics team. You will work with quantitative researchers and traders to source, curate and deliver high-quality data for systematic options research and trading.

What you will do

• Source, evaluate and onboard datasets relevant to options and derivatives research.
• Partner with researchers and traders to translate data requirements into scalable data solutions.
• Build and maintain robust data pipelines.
• Ensure quality, consistency and timeliness of options-related datasets.
• Develop understanding of options market data.
• Contribute to improving internal data platform and tooling.
• Identify opportunities to enhance data coverage, quality and operational efficiency for the Options business.

Required qualifications

• 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role
• Experience working with financial market data
• Strong Python programming skills
• Experience using data processing libraries such as Pandas and NumPy
• Experience building data pipelines
• Experience working with large-scale structured and time-series datasets
• Demonstrated interest in financial markets and the application of data to quantitative research and trading
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously

Nice to have

• experience supporting quantitative research or trading teams
• exposure to options, derivatives or volatility data

Benefits

• initiatives and programs to enable employees achieve a healthy work-life balance

About the company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager. It is a technology and data driven group implementing a scientific approach to investing.