Yilang Lu Email & Phone Number
@163.com
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Who is Yilang Lu? Overview
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Yilang Lu is listed as Student in Imperial College London at CLSA, a company with 1652 employees, based in London, England, United Kingdom. AeroLeads shows a work email signal at 163.com and a matched LinkedIn profile for Yilang Lu.
Yilang Lu previously worked as Equity Derivatives Trader at Clsa and Equity Derivs AVP structuring at Citi. Yilang Lu holds Msc, Mathematics And Finance, Expected from Imperial College London.
Email format at CLSA
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AeroLeads found 1 current-domain work email signal for Yilang Lu. Compare company email patterns before reaching out.
About Yilang Lu
Hello, I'm currently working for citigroup as an placement analyst in cash equity central risk team
Listed skills include C++, R Experienced User, Microsoft Office, Statistics, and 4 others.
Yilang Lu's current company
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Yilang Lu work experience
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Equity Derivs Avp Structuring
Graduate Analyst
Placement Analyst
Quantitative Analyst Intern
- Thesis: Application of Clustering Methods to Trading Strategies in the US Equity Market. Used machine learning methods to construct equity market structure model and applied Momentum Strategy and BAB Strategy.
- Applied thesis result to modify existed Value Strategy and Pair Trading Strategy. Improved Sector Momentum Strategy.
Option Pricing (Lecture Project)
Use monte carlo method and binomial tree method to price European option and American option, develop closed forms of Greeks and use C++ to simulate and compute delta, gamma and vega, then error analysis.
Quantitative Risk Management (Lecture Project)
·statistical analysis and modelling of the US dollar/Brazilian real exchange rate, compare GARCH and ARMA-GARCH model.·use historical simulation, filtered historical simulation and GARCH to computeforecasts of VaR and ES.·use extreme value theory to compute risk measure forecasts for an equity investment in Crocs: fit generalized Pareto distribution and.
Quantitative Analyst Intern
Use R to analyse stock data, build indicators and try to modify portfolio.
Colleagues at CLSA
Other employees you can reach at clsa.com. View company contacts for 1652 employees →
Karie Kiang
Colleague at ClsaHong Kong, Hong Kong SAR, Hong Kong
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JL
Jay Levy
Colleague at ClsaNew York, New York, United States, United States
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GC
Gene Costiglio
Colleague at ClsaNew York, New York, United States, United States
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PH
Pheno Huang
Colleague at ClsaHong Kong, Hong Kong SAR, Hong Kong
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JT
Jeremy Tan
Colleague at ClsaSingapore, Singapore
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WS
William Shi
Colleague at ClsaHong Kong SAR, Hong Kong
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VC
Varaprasad Clsa
Colleague at ClsaHong Kong SAR, Hong Kong
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SA
Shashank Adav
Colleague at ClsaMumbai, Maharashtra, India, India
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DS
David Sandison
Colleague at ClsaGreater London, England, United Kingdom, United Kingdom
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SP
Subodh Prabhu
Colleague at ClsaSingapore, Singapore
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Yilang Lu education
Msc, Mathematics And Finance, Expected
Bsc, Mathematics And Applied Mathematics, 91.12/100
Frequently asked questions about Yilang Lu
Quick answers generated from the profile data available on this page.
What company does Yilang Lu work for?
Yilang Lu works for CLSA.
What is Yilang Lu's role at CLSA?
Yilang Lu is listed as Student in Imperial College London at CLSA.
What is Yilang Lu's email address?
AeroLeads has found 1 work email signal at @163.com for Yilang Lu at CLSA.
Where is Yilang Lu based?
Yilang Lu is based in London, England, United Kingdom while working with CLSA.
What companies has Yilang Lu worked for?
Yilang Lu has worked for Clsa, Citi, 花旗, Bainbridge Partners Llp, and Imperial College London.
Who are Yilang Lu's colleagues at CLSA?
Yilang Lu's colleagues at CLSA include Karie Kiang, Jay Levy, Gene Costiglio, Pheno Huang, and Jeremy Tan.
How can I contact Yilang Lu?
You can use AeroLeads to view verified contact signals for Yilang Lu at CLSA, including work email, phone, and LinkedIn data when available.
What schools did Yilang Lu attend?
Yilang Lu holds Msc, Mathematics And Finance, Expected from Imperial College London.
What skills is Yilang Lu known for?
Yilang Lu is listed with skills including C++, R Experienced User, Microsoft Office, Statistics, Finance, Quantitative Analytics, Research, and Kdb+.
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