Posting record
Open 10+ days
- Moomoo's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Moomoo, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
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Upload your resumeWhat it asks of you
- Bachelor's degree asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
- 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.
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