Data Scientist - Options

Requirements

• 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role; experience supporting quantitative research or trading teams is advantageous.
• Experience working with financial market data; exposure to options, derivatives, or volatility data is a strong advantage.
• Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy.
• Experience building data pipelines and 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, with the ability to collaborate effectively with researchers, traders, engineers, and external data vendors.
• Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously.

What You'll Be Doing

• Source, evaluate and onboard datasets relevant to options and derivatives research.
• Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions.
• Build and maintain robust data pipelines, ensuring the quality, consistency, and timeliness of options-related datasets.
• Develop a strong understanding of options market data and contribute to improving QRT's internal data platform and tooling.
• Proactively identify opportunities to enhance data coverage, quality, and operational efficiency for the Options business.

Perks and Benefits

• QRT is an equal opportunity employer that welcomes diversity as essential to success.
• Empowers employees to work openly and respectfully to achieve collective success.
• Offers initiatives and programs to enable employees to achieve a healthy work-life balance.