Data Scientist – Trading Business Analytics
Tradeweb MarketsFunctional 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.
Mission: Move first and never stop. Collaborate with clients to create and build solutions that drive efficiency, connectivity, and transparency in electronic trading.
Role Details
We are seeking an experienced Data Scientist to drive trading business analytics for Tradeweb in APAC. This role encompasses data science responsibilities in platform trading environment, including analyzing complex trading and market datasets (including but not limited to order flow, execution data, volumes, and related financial instruments), identifying patterns in trading activity and extracting actionable business insights.
The position is accountable for the end-to-end management of our reporting infrastructure and workflows — ensuring accurate, timely, secure, and professional delivery of data insights to internal stakeholders and external clients. You will apply strong analytical and programming skills to handle large-scale financial data, automate processes, and maintain operational excellence in a fast-paced trading context.
A deep understanding of financial services data—particularly trading-related datasets such as market data feeds, trade executions, and mechanisms of the OTC market — is essential. You will work closely with global data teams, technology, and business stakeholders while upholding a high level of accountability for time-sensitive deliverables and clear, effective communication across all levels.
Job Responsibilities
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Analyse trading and market data to generate business insights and support decision-making.
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Develop and maintain scalable analytics and reporting solutions for internal and external stakeholders.
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Ensure timely, accurate, and high-quality delivery of recurring and ad-hoc analytical outputs.
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Build dashboards and visualisations that communicate key trends and performance metrics clearly.
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Strengthen data quality, governance, and process controls across analytics workflows.
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Collaborate with cross-functional teams to drive continuous improvement and operational efficiency.
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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.
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Continuously improve and maintain the reporting infrastructure to support business growth and long-term operational resilience.
Essential Skills & Experience
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Bachelor degree (Data Analytics, Computer Science, Information Systems, Statistics, Finance, or a closely related quantitative field).
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At least 5 years’ experience in fixed income derivatives trading or related trading data and analytics role.
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Strong proficiency in SQL and Python for data extraction, transformation, and analysis.
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Proficiency with modern data platforms and business intelligence tools.
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Experience with version control and collaborative software development practices.
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Ability to prototype and iterate analytical solutions efficiently using modern tooling.
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Strong problem-solving skills, attention to detail, and a proactive, can-do mindset.
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Excellent communication and stakeholder management skills across technical and non-technical audiences.
Preferred skills
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Hands-on experience with Snowflake, AWS, and Tableau.
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Experience in financial markets analytics and electronic trading environments.
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Exposure to cloud data ecosystems and enterprise reporting workflows.
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Familiarity with AI-assisted development and prompt-based analytical workflows.
Additional Information
We offer a comprehensive range of benefits to support our employees at every stage of life and career. Our programs include enhanced parental leave, family-building and postpartum support through Maven, subsidised gym membership and a wide range of learning and development opportunities, to name a few! While specific offerings may vary by location, our teams will be happy to provide more detailed information about the benefits available in your region as you move through the recruitment process.
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