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Alexander Wang Email & Phone Number

Quantitative Trader @ Citadel Securities at Citadel Securities
Location: Stanford, California, United States 13 work roles 3 schools
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Current company
Role
Quantitative Trader @ Citadel Securities
Location
Stanford, California, United States

Who is Alexander Wang? Overview

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Quick answer

Alexander Wang is listed as Quantitative Trader @ Citadel Securities at Citadel Securities, based in Stanford, California, United States. AeroLeads shows a matched LinkedIn profile for Alexander Wang.

Alexander Wang previously worked as Quantitative Trader at Citadel Securities and Co-Founder at Orchard. Alexander Wang holds Master Of Science - Ms, Computer Science from Stanford University.

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Email format at Citadel Securities

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Citadel Securities

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Profile bio

About Alexander Wang

I did my undergrad at Columbia studying computer science, and I dropped out of my Masters in Computer Science at Stanford to pursue working on my startup full time. I fell in love with math/physics at a young age and developed a passion for solving hard problems in creative ways. Most recently, I've been working in quantitative trading.

Listed skills include Mathematics, Physics, R, Git, and 28 others.

Current workplace

Alexander Wang's current company

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Citadel Securities
Citadel Securities
Quantitative Trader @ Citadel Securities
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13 roles

Alexander Wang work experience

A career timeline built from the work history available for this profile.

Quantitative Trader

Current

Miami, Florida, US

Block Single Stock Options

Sep 2023 - Present

Co-Founder

San Francisco, California, US

Backed by Neo | Neo Accelerator '22

Apr 2022 - May 2023

Quantitative Researcher

Radnor, PA, US

-Researched High-Frequency Arbitrage and Market Illiquidity.

Feb 2021 - May 2021

Executive Board Member

New York, New York, US

Research Coordinator

Nov 2019 - May 2021

Research Assistant

Lightwave Research Laboratory At Columbia University

-Developed state-of-the-art and fully automated prober control calibration software for post-wafer photonic integrated chip fabrication and testing. Currently used by SUNY.-Developing methods for statistically characterizing photonic integrated circuits for advanced modulation formats, which are extremely sensitive/complex and thus require novel and fast.

Jan 2019 - May 2021

Quantitative Research Intern

Radnor, PA, US

-Running statistical analysis and writing systems-level computer programs (C++, Linux) for large datasets related to trade execution, order management, and algorithm implementation (US Domestic Equity Markets).-Conducting multiple independent research projects.

Jun 2020 - Sep 2020

Research Assistant

Murray Hill, NJ, US

Researching novel construction of degenerate convolutional quantum error-correcting codes for use in quantum computing and communications, improving error-correction performance, rate, and decoding complexity.

Jan 2020 - May 2020

Machine Learning/Software Engineering Intern

Boston, MA, US

- Researched automation of categorical encoding through generation of trainable primitives able to handle cutoff and real time complexities while working with researchers from the DAI Group at MIT CSAIL.- Released PyPi library for categorical-encoding optimized for automated feature engineering, with approximately 4000 downloads within a week. Individually.

May 2019 - Aug 2019

Software Engineering Intern

Brooklyn, New York, US

-Built endpoints for use in the Android mobile app to retrieve and update data in the Firebase/Stripe database.-Built support app for internal use in Flask, HTML, CSS, Bootstrap, Javascript, and GCP.-Built predictive machine learning model to generate "hotspots" tracking driver/user requests.

Mar 2019 - May 2019

Full Stack Developer

New York, New York, US

-Build web pages for Spectator's sponsors in React.js.-Build web articles for website migration from JSP to React.js.

Sep 2018 - May 2019

Researcher

Stony Brook, NY, US

-Wrote paper titled: “P12 Peptide’s Effects on Suppressing Fibrinogen Fiber Formation and Application of Machine Learning in Fiber Counting.”-Developed novel method of suppressing blood clots, proved role of fibrin/surface properties in clot formation, and created machine learning program for microscope image analysis.-Awarded finalist in Siemens National.

Jun 2017 - Aug 2017

Researcher

上海, Shanghai, CN

-Worked on Serial Time Encoded Amplified Microscopy project.-Utilized time-stretch technology and image processing to increase frame rate (∼ 10 MHz) by 6% with negligible decrease in resolution.

Jun 2015 - Jul 2015
3 education records

Alexander Wang education

Master Of Science - Ms, Computer Science

Stanford University

Bachelor Of Science - Bs, Computer Science

Columbia University

Education record

Dougherty Valley High School
FAQ

Frequently asked questions about Alexander Wang

Quick answers generated from the profile data available on this page.

What company does Alexander Wang work for?

Alexander Wang works for Citadel Securities.

What is Alexander Wang's role at Citadel Securities?

Alexander Wang is listed as Quantitative Trader @ Citadel Securities at Citadel Securities.

Where is Alexander Wang based?

Alexander Wang is based in Stanford, California, United States while working with Citadel Securities.

What companies has Alexander Wang worked for?

Alexander Wang has worked for Citadel Securities, Orchard, Susquehanna International Group, Llp (Sig), Stevens Capital Management Lp, and Columbia Quant Group.

How can I contact Alexander Wang?

You can use AeroLeads to view verified contact signals for Alexander Wang at Citadel Securities, including work email, phone, and LinkedIn data when available.

What schools did Alexander Wang attend?

Alexander Wang holds Master Of Science - Ms, Computer Science from Stanford University.

What skills is Alexander Wang known for?

Alexander Wang is listed with skills including Mathematics, Physics, R, Git, Amazon Web Services, Linux, Silicon Photonics, and C.

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