Gary Qu Email & Phone Number
Who is Gary Qu? Overview
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Gary Qu is listed as Quantitative Associate at CLSA, a company with 2543 employees, based in United States, United States, United States. AeroLeads shows a matched LinkedIn profile for Gary Qu.
Gary Qu previously worked as Quantitative and Index Investment Internship at Invesco Greatwall Fund Management Co. and Business Analytics Manager at Hsbc. Gary Qu holds Master Of Science - Ms, Financial Engineering from Columbia Engineering.
Email format at CLSA
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About Gary Qu
Having graduated from University College London and London School of Economics and Political Science with a mixture of background in statistics and data science, I began my career at a newly established virtual bank in Hong Kong as a graduate trainee, where I took ownership on various data analytics projects. I then went on and joined HSBC as a business analytics manager, and led the development of advanced analytics modeling for the Hong Kong business banking team, serving a large pool of small and medium-sized enterprises.I am a fast learner with a willingness to drill down to details. With my start-up experience, I am able to take ownership and drive projects forward. My background in statistics and data science will strengthen my ability to apply quantitative methods in finance.I am currently embarking on a new journey as a master student in Financial Engineering at Columbia, with an expected graduation date in December 2024. I am proactively searching for 2024 summer internship role as a quant professional in the US and HK. I would very much appreciate it if you can kindly reach out to fq2159@columbia.edu when there are any suitable opportunities.
Gary Qu's current company
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Gary Qu work experience
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Quantitative And Index Investment Internship
Business Analytics Manager
- Wholesale Business Analytics
- Led advance analytics model development for business banking portfolio and relationship management team; Ideated data science use cases across customer lifecycle to formulate analytics blueprint
- Developed 3 models POC leveraging Python and SAS; Use cases include churn prediction and high-value lookalike customer identification; Planned out end-to-end experiment workflow from feature engineering, model.
- Leveraged Google Cloud Platform toolkit to build data marts and migrate away from on-premise data management; Drove 1st major business proposition on cloud and expected an increment of 80% on FX revenue per converted.
Assistant Business Intelligence Manager
- Led marketing efficiency optimization; Performed end-to-end customer lifecycle analysis, from digital acquisition attribution, to banking activities activation and retention in domain areas such as Deposits, Loan and.
- Drove end-to-end A/B test for card and loan product segment; Segmenting churned and inactive customers to optimize campaign parameters, for the purpose of re-engaging inactive user and better customer retention
- Conducted customer segmentation based on customer behavioral tagging, including rule-based model such as deposit sizing, spending frequency and recency (RFM model), recurrent spending etc.
- Supported Financial Crime Compliance team for case management tool automation using Python and transaction monitoring threshold tuning using statistical analysis
- Implemented 2 sets of regular management report to help monitor the bank’s overall KPI performances, by creating complex SQL queries and data models on Google Cloud Platform and Looker
- Contributed to the setup of data governance framework and data platform from scratch, before the bank was launched, by drafting related data retention standard and data quality rules
Graduate Trainee
- Graduate Trainee Class of 2019 – with rotations in Business Intelligence, Finance, Risk, Financial Crime Compliance and Digital Product
- Focus Stream: Business Intelligence
Financial Technology Group Summer Internship
- Conducted research on money market funds suitable for Tencent’s online wealth management platform; Using data from WIND Financial Terminal and financial websites, independently created analysis report on interbank.
- Visited a mutual fund management firm and attended meetings with fund managers to discuss a potential launching of a monetary fund on the Tencent online wealth management platform
Colleagues at CLSA
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Jasmine So
Colleague at ClsaHong Kong, Hong Kong SAR, Hong Kong
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DL
Daniel Li
Colleague at ClsaHong Kong SAR, Hong Kong
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YX
Yi Xing
Colleague at ClsaHong Kong SAR, Hong Kong
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RK
Rajesh Kumar (冉捷士)
Colleague at ClsaPune, Maharashtra, India, India
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XC
Xinlong Cheng
Colleague at ClsaHong Kong SAR, Hong Kong
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SL
Siew Lan Lim
Colleague at ClsaSingapore, Singapore
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SS
Shreya Shivani
Colleague at ClsaMumbai, Maharashtra, India, India
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PB
Pracheeti Bhukan
Colleague at ClsaPune, Maharashtra, India, India
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PS
Priyanka Sakre
Colleague at ClsaPune, Maharashtra, India, India
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FM
Florencia Monzon
Colleague at ClsaBuenos Aires, Buenos Aires Province, Argentina, Argentina
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Gary Qu education
Master Of Science - Ms, Financial Engineering
Master Of Science - Ms, Data Science, Merit
Bachelor Of Science, Statistics, Economics And Finance, First Class Honour
Big Data: Data Analytics For Business And Beyond, Grade A
A Level, Mathematics, Further Mathematics, Physics, Economics, Chinese, 4A*S, 1A
Frequently asked questions about Gary Qu
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What company does Gary Qu work for?
Gary Qu works for CLSA.
What is Gary Qu's role at CLSA?
Gary Qu is listed as Quantitative Associate at CLSA.
Where is Gary Qu based?
Gary Qu is based in United States, United States, United States while working with CLSA.
What companies has Gary Qu worked for?
Gary Qu has worked for Clsa, Invesco Greatwall Fund Management Co., Hsbc, Welab Bank, and Tencent.
Who are Gary Qu's colleagues at CLSA?
Gary Qu's colleagues at CLSA include Jasmine So, Daniel Li, Yi Xing, Rajesh Kumar (冉捷士), and Xinlong Cheng.
How can I contact Gary Qu?
You can use AeroLeads to view verified contact signals for Gary Qu at CLSA, including work email, phone, and LinkedIn data when available.
What schools did Gary Qu attend?
Gary Qu holds Master Of Science - Ms, Financial Engineering from Columbia Engineering.
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