2017 -2018 Quantitative Trader and Quantitative Analyst (sub-trading manager) @ Nech Capital Ltd
2010 -2017 AVP - Market Data and FX Trading system @
2008 -2009 Senior Specialist- Unix and Linux system analysis @
2008 -2008 Business Management Analyst - Service Management @
2007 -2007 Industrial Attachment Student @
2006 -2006 Summer Research Student Intern @
Kun Hu Education
Stanford University
Non-degree (Machine Learning course on coursera)
2016-2016
The University of Chicago
Master’s Degree (Financial Mathematics)
2011-2013
National University of Singapore
Bachelors of Engineering (Honors), 1st Class Honours (Top 5%) (Electrical Engineering (Analog / Digital Signal Processing))
2004-2008
Raffles Junior College
(Maths,Further Maths,Physics,Economics)
2002-2003
Raffles Institution 2000-2001
Wuhan Foreign Language School 1996-1999
Kun Hu Skills
Electronic Trading
Portfolio Optimization
R
Fixed Income
Market Data
Low Latency Trading
CUDA
Perl
Matlab
Financial Modeling
Derivatives
Bloomberg
Apache Kafka
MapReduce
Ecn
Foreign Exchange
Hadoop
Equities
Interest Rate Derivatives
Equity Research
Apache Spark
GPU
PL/SQL
VBA
Quantitative Analytics
Statistical Arbitrage
Reuters
C++
KDB+
FpML
Quantitative Finance
Python
Commodity
Quantitative Research
Trading Systems
Research
Trading
Machine Learning
Unix
Straight Through Processing
Options
Apache Storm
Hedge Funds
Visual Basic For Applications Vba
万得股票
Visual Basic for Applications
Kun Hu Summary
Kun Hu, based in Singapore, is currently a Director - CCIB Risks at Standard Chartered Bank. Kun Hu brings experience from previous roles at Standard Chartered Bank, BNP Paribas and Nech Capital Ltd. Kun Hu holds a 2016 - 2016 Non-degree in Machine Learning course on coursera @ Stanford University. With a robust skill set that includes Electronic Trading, Portfolio Optimization, R, Fixed Income, Market Data and more. Kun Hu has 1 emails on RocketReach.
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