The Role
Develop company-wide data tracking and experimentation systems for financial services. Responsibilities include standardizing cross-platform event instrumentation, data schemas, metadata, governance, quality monitoring, and automated pipelines. Design and advance A/B testing infrastructure, establish evaluation metrics, apply statistical and causal inference methods, and promote data-driven decision-making across trading, wealth management, market data, and marketing. Collaborate with product, engineering, compliance, and external vendors.
Summary Generated by Built In
About Us
As a Data Scientist, you will be responsible for the overall planning and development of the company-wide data tracking (event instrumentation) system and the scientific experimentation system (A/B Testing), supporting data-driven growth and evidence-based decision-making across the business.
Responsibilities
- Planning and implementation of a full-funnel data tracking system for financial services: Develop a deep understanding of the securities business, and take ownership of the overall planning and standardization of the company-wide, cross-platform (App/Web/PC desktop) full-funnel data tracking system. Establish unified tracking specifications, schema standards, and metadata management solutions, and build a highly available data governance framework. Set up financial-grade data quality monitoring mechanisms, and streamline the automated pipeline from collection to activation, ensuring data meets financial compliance and high-accuracy requirements.
- Overall planning and development of a financial-grade data science experimentation system (A/B Testing): Lead the overall design and methodology development of the company-wide experimentation system (A/B Testing Platform), and plan and drive upgrades to the platform's underlying framework. Collaborate with business lines to build scientific experiment evaluation metric systems, and drive the standardized adoption of experimentation methodologies across diverse scenarios including trading, market data, wealth management, and marketing.
- Advancing data-driven and evidence-based decision-making**: Leveraging the tracking system and experiment evaluation framework, promote the adoption of a data-driven culture and methodology at the company level, and provide systematic, science-based decision support for product iteration and operational strategies.
Requirements
- Academic background: Bachelor's degree or above in Statistics, Data Science, Computer Science, Applied Mathematics, Econometrics, or a related field.
- Strong theoretical foundation in statistics and experimentation: Exceptionally solid grounding in statistical inference, with a deep understanding of the underlying principles of A/B testing and statistical methods (e.g., hypothesis testing, confidence intervals, variance reduction). Familiarity with causal inference methods (PSM, DiD, Uplift Modeling, etc.) and their application logic in long-horizon or non-randomized intervention scenarios; ability to build systematic analytical frameworks.
- Technical and data capabilities: Proficiency in SQL, with the ability to efficiently process massive, high-frequency behavioral data and trading logs. Proficiency in Python or R for statistical modeling, simulation, and automated analysis scripting.
- Business acumen and systems thinking: Strong interest in and foundational understanding of securities trading, wealth management, or internet finance. Excellent abstraction skills and a holistic perspective, with a talent for distilling complex business scenarios into standardized systems.
- Soft skills: Excellent cross-team communication and project-driving capabilities, with the ability to collaborate effectively with product, engineering, and compliance teams to drive solutions to delivery. Strong self-motivation and resilience under pressure, combined with business and data sensitivity, and the ability to deliver consistently amid concurrent multitasking.
- Excellent English & Chinese listening, speaking, reading, and writing skills; ability to read English technical documentation and to communicate with external vendors in English for day-to-day and technical coordination.
*Open to candidates graduating between January 2026 and August 2027.
Skills Required
- Bachelor’s degree or above in Statistics, Data Science, Computer Science, Applied Mathematics, Econometrics, or a related field
- Strong foundation in statistical inference, A/B testing, hypothesis testing, confidence intervals, and variance reduction
- Familiarity with causal inference methods including propensity score matching, difference-in-differences, and uplift modeling
- Proficiency in SQL for processing large-scale behavioral data and trading logs
- Proficiency in Python or R for statistical modeling, simulation, and automated analysis
- Interest in and foundational understanding of securities trading, wealth management, or internet finance
- Strong cross-team communication and project-driving capabilities
- Excellent English and Chinese listening, speaking, reading, and writing skills
- Ability to read English technical documentation and communicate with external vendors in English
- Graduation between January 2026 and August 2027
Futu Holdings Limited Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Futu Holdings Limited and has not been reviewed or approved by Futu Holdings Limited.
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Healthcare Strength — Health insurance in the U.S. arm is described as strong, with some accounts citing employer-paid premiums for employees. Core medical coverage is listed across U.S. roles.
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Retirement Support — Retirement programs are offered by region, including a U.S. 401(k) with employer contribution and Hong Kong MPF participation. PRC and Singapore roles align with statutory social insurance and CPF-related schemes.
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Equity Value & Accessibility — Equity compensation exists via a group share incentive plan, with some roles in U.S. subsidiaries receiving RSUs at hire. Where granted, equity can meaningfully augment total compensation.
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The Company
What We Do
Futu Holdings Limited (Nasdaq: FUTU) is a leading fintech company committed to transforming the investing experience for investors worldwide. With a global presence across Hong Kong, Singapore, the U.S., Australia, Canada, Japan, Malaysia, and New Zealand, we serve over 26 million users through our one-stop digital platforms, Futubull and moomoo, enabling everyone to become a better investor on the go. At Futu, our mission remains unchanged since day 1: make investing easier and not alone. We empower investors of all levels to confidently navigate the market with all the essential tools and data to achieve their financial goals. Together, we strive to build a world where smarter investing is within reach for all.
