WeChat ID: SVARecruitment










Experience Summary

Total 16+ years.Specialising as  Data Scientist

Recent XXX

Some Previous employers are XXX


Degree: Ph.D    Public Policy (MBS derivatives pricing),

University: XXX 

Degree: M.SC   Economics,   

University: XXX

Degree: BSc. Finance

University: XXX               


Motives & Seeking

Actively looking for data scientist job roles in financial industry preferred but she is open for other industry.


English- Fluent

Mandarin- Fluent

Recent / Current Salary

$ 380K RMB Per Annual Fixed

+ Medical / Any Other Benefits

Expected Salary

$ 380K RMB Per Annual Fixed


+ Medical / Any Other Benefits

Notice Period

Immediately Available

Interview Availability

Requires a few days notice

Interview Assessment Notes


  1. She worked for XXX, doing end-to-end automated testing doing STP with 30 systems including XXX in the platform, and then to XXX in which she and her boss in London oversaw doing the algorithms and all the developments for front office trading. Her recent employer was XXX, in which they are using Machine Learning, NLP to reduce risk and to read legal documents of 200+ pages and extract the important information.
  2. Most of the databases that she had experience was Sql, OracleDB and MongoDB in Commercial bank and in an investment bank she usual used KDB.
  3. She is familiar with the cloud technology specially in Azure because in XXX they usually used it for non-essential algorithm.
  4. She is strongest in coding skills doing algorithm and mathematics. She has learned new programming languages to make it faster. She has 8+ years of experience in doing front office algorithms and 4+ years of experience in XXX using Java and C#. In her recent job they utilized a lot of machine learning projects using NLP to automatically read legal documents. She has a lot of experience in R and Python. Would rate herself 4 out of 5 in algorithm, 4.5 out of 5 in Python and 3.5 out of 5 in R.
  5. She has done a project in XXX on electronic trading of fixed income in US and London, the project was big in which the interest rate risk was managed in London while the other risk is in the USA. She has experience in USA, London, China, and HK algorithm. She has done automatic testing and end-to-end testing.
  6. She has 2+ years of experience in NLP she has done a lot of projects because for XXX, they have institutional clients that have a lot of legal documents to process and high operational risks. So, they created an NLP algorithm to read the document of about 200+ pages and answer the questions to get the needed answers for operation team, it will help to reduce operational and legal risks. Another project she has done in NLP was such as how to use NLP to automatically read many twitter chats to tell whether there is news that are good or bad for the stock price. Would rate herself 3 out of 5 in NLP.
  7. She has extensive experience in Linux, and she has done a lot of Linux maintenance work to avoid high latency issues. Would rate herself 5 out of 5 in Linux.


Victor Chen, Senior Recruiter & Talent Broker

WeChat ID: svarecruitment


Perry, Sourcing Associate

Employment Agency

Silicon Valley Associates Recruitment (Shanghai) Limited

25F, Central Plaza, Xin Tian Di, Shanghai, China

Job-Seeker Agreement

The Candidate has agreed that Silicon Valley Associates Recruitment may disclose their profile to potential employers for the purpose of seeking new employment. Silicon Valley Associates Recruitment wil never charge any fees from job-seekers.

Potential Employer Terms

General Terms and Conditions apply to all requests, offers and agreements regarding the provision of services, and available upon request. These can be sent to you on request or can be found on our website: svarecruitment.com.

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