shailesh kakkar
shaileshkakkar
Quantitative Researcher with background in Mathematics and Computer Science.
Chicago, IL
Riskfolio
dcajasn
Finance and Python lover, looking for job opportunities in quantitative finance, investments and risk management.
Lima, Peru
Sangwoong Yoon
swyoon
Research Fellow @ University College London (UCL)
University College London Seoul, Korea
Saif Ahmed
saifrahmed
CTO @sparksandhoney omnicom. ML Engineering Director @kineticadb, CTO @dochuddle, Grad @ucberkeley and WallSt Hedge Fund Quant Chief.
@sparksandhoney Brooklyn, NY
Jairo F. Gudiño R.
JFernandoGR
Quantitative Analyst/Research Assistant
Bancolombia Bogotá, Colombia.
Daniel Stahl
danielhstahl
I lead data and analytics platforms and engineering at Regions. I have an undergraduate degree in Economics and Math and a masters in Mathematical Finance.
Regions Birmingham, Alabama
Seonu Jang
sjquant
Passionate about building things that matter and delivering value.
@alphaprime-dev Seoul
Differential Machine Learning by Brian Huge & Antoine Savine
differential-machine-learning
Demonstration notebooks and additional material for the Risk articles on differential machine learning by Brian Huge and Antoine Savine (2020-2021)
Danske Bank Copenhagen