Data Scientist - Trading Business Analytics

Functional Title: Data Scientist - Trading Business Analytics

Business Line/Department: Product Management

Location: Singapore

Company Description

Tradeweb is a global leader in electronic trading for rates, credit, equities, and money markets. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world's largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.2 trillion over the past four fiscal quarters, topping $2.5 trillion in ADV for the first quarter of 2025.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues - and 2024 was our 25th consecutive year of record revenues.

Tradeweb is a great place to work, recognized in 2024 by Forbes as one of America's Best Companies (2024) and by U.S. News & World Report as one of the Best Financial Services Companies to Work For .

• Analyse trading and market data to generate business insights and support decision-making.

• Develop and maintain scalable analytics and reporting solutions for internal and external stakeholders.

• Ensure timely, accurate, and high-quality delivery of recurring and ad-hoc analytical outputs.

• Build dashboards and visualisations that communicate key trends and performance metrics clearly.

• Strengthen data quality, governance, and process controls across analytics workflows.

• Collaborate with cross-functional teams to drive continuous improvement and operational efficiency.

• Partner with Technology and Cybersecurity teams to enforce secure handling of sensitive client data, implement robust access controls, and establish infrastructure-level monitoring and alerting where required.

• Continuously improve and maintain the reporting infrastructure to support business growth and long-term operational resilience.

• Bachelor degree (Data Analytics, Computer Science, Information Systems, Statistics, Finance, or a closely related quantitative field).

• At least 5 years' experience in fixed income derivatives trading or related trading data and analytics role.

• Strong proficiency in SQL and Python for data extraction, transformation, and analysis.

• Proficiency with modern data platforms and business intelligence tools.

• Experience with version control and collaborative software development practices.

• Ability to prototype and iterate analytical solutions efficiently using modern tooling.

• Strong problem-solving skills, attention to detail, and a proactive, can-do mindset.

• Excellent communication and stakeholder management skills across technical and non-technical audiences.

• Hands-on experience with Snowflake, AWS, and Tableau.

• Experience in financial markets analytics and electronic trading environments.

• Exposure to cloud data ecosystems and enterprise reporting workflows.

• Familiarity with AI-assisted development and prompt-based analytical workflows.