moomoo

Global investing platform offering data tools

Commercial Data Analyst

Data AnalysisConfirmed live in the last 24 hours

Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or above is required; majors in Statistics, Mathematics, Financial Engineering, Computer Science, Data Science, or related fields are preferred.
Proficiency in SQL is required, along with experience using data analysis tools such as Python or R.
Strong logical thinking and data sensitivity, with the ability to extract business insights from complex datasets.
Excellent spoken and written English and Chinese, with the ability to translate analysis results into clear business language and drive cross-functional collaboration.
Passion for the fintech industry; basic knowledge of securities, funds, or wealth management is preferred.
Open to candidates graduating between January 2026 and August 2027.

Responsibilities

Build client profiling and segmentation systems based on business requirements to understand the characteristics and needs of high-net-worth and institutional clients.
Identify client behavior patterns and potential risks through data mining and statistical analysis, and deliver actionable client engagement strategies, product optimization recommendations, and operational solutions.
Provide data-driven recommendations and decision support to client relationship teams and product teams, promoting data-informed product iteration and business growth.
Conduct targeted data analysis for key clients or business scenarios, produce research reports, and drive strategy implementation.

Desired Qualifications

Familiarity with common machine learning algorithms.

2027 Fresh Grad Hire - Commercial Data Analyst

moomoo · Hong Kong, Hong Kong · Full-time · Posted 2026-10-22

Workplace: on_site

Description

Client Data Analysis: Based on business requirements, build client profiling and segmentation systems to deeply understand the characteristics and needs of high-net-worth and institutional clients.
Strategy Development: Identify client behavior patterns and potential risks through data mining and statistical analysis, and deliver actionable client engagement strategies, product optimization recommendations, and operational solutions.
Business Support: Provide data-driven recommendations and decision support to client relationship teams and product teams, promoting data-informed product iteration and business growth.
Ad-hoc Research: Conduct targeted data analysis for key clients or business scenarios, produce research reports, and drive strategy implementation.

Requirements

Bachelor's degree or above (Class of 2026), majoring in Statistics, Mathematics, Financial Engineering, Computer Science, Data Science, or related fields preferred.
Proficient in SQL; experienced with data analysis tools such as Python or R; familiarity with common machine learning algorithms is a plus.
Strong logical thinking and data sensitivity, with the ability to extract business insights from complex datasets.
Excellent communication skills, capable of translating data analysis results into clear business language and driving cross-functional collaboration. Excellent command of spoken and written English & Chinese.
Passionate about the fintech industry; Basic knowledge of securities, funds, or wealth management is preferred.

*Open to candidates graduating between January 2026 and August 2027.

Apply

Apply at moomoo

About the Company

moomoo

Global investing platform offering data tools

Moomoo is a global investing platform that provides stocks, ETFs, options, and crypto with real-time market data and a set of trading tools. It helps users make informed decisions by offering features like real-time quotes, technical analysis tools, and in-depth order book data all in one place. Its products are designed to be easy for beginners while powerful enough for experienced traders, combining accessible data with advanced analytics to support a wide range of investment strategies. Compared to other platforms, moomoo stands out by offering a broad mix of assets across markets and a comprehensive toolkit in one place, focusing on both user-friendliness and depth of analysis. The company’s goal is to help global investors grow their financial potential over time, empowering people at all levels of experience to pursue their investment journey.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Palo Alto, CA
Founded: 2018

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