Philipp Schiele Email & Phone Number
@stanford.edu
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Who is Philipp Schiele? Overview
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Philipp Schiele is listed as Quantitative Developer at Citadel at Citadel, a with 3117 employees, based in New York, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Philipp Schiele.
Philipp Schiele previously worked as Quantitative Developer at Citadel and Maintainer at Cvxpy. Philipp Schiele holds Master Of Science - Ms, Finance from Ludwig-Maximilians Universität München.
Email format at Citadel
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AeroLeads found 1 current-domain work email signal for Philipp Schiele. Compare company email patterns before reaching out.
About Philipp Schiele
I am a Quantitative Developer at Citadel, bringing expertise in convex optimization with a keen focus on applications in finance. Previously, I was a Postdoctoral Researcher at Stanford University, where I developed skills in portfolio optimization, machine learning, and risk modeling. My practical knowledge is further enriched by leading the quant team at Scalable Capital. As a dedicated maintainer of the CVXPY library, I am passionate about driving innovation at the intersection of finance, optimization, and technology.
Listed skills include Finance, Derivatives, Python, Machine Learning, and 5 others.
Philipp Schiele's current company
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Philipp Schiele work experience
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Maintainer
Current
Postdoctoral Researcher / Research Scholar
Researching convex optimization at Stephen Boyd's lab.
Ph.D. Candidate | Research Assistant
Chair of Financial Econometrics
Team Lead Quant Development
Senior Quantitative Strategist
Quantitative Strategist
Junior Quantitative Strategist
Financial Engineering Intern
Visiting Student Researcher
Researching convex optimization at Stephen Boyd's lab.
Student Teaching Assistant
Single Stock Derivatives Trading Desk
Fund Derivatives Trading Desk
Smart Data & Omni-Channel
Colleagues at Citadel
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Eric Betti
Colleague at CitadelMassachusetts, United States
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WN
Warwick Norton
Colleague at CitadelNew York City Metropolitan Area, United States
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EM
Eman Mohamed
Colleague at CitadelUnited States
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DJ
Dale John
Colleague at CitadelEphrata, Washington, United States
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PL
Phil Lock
Colleague at CitadelGreater Chicago Area, United States
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LR
Lorie Robison
Colleague at CitadelDe Quincy, Louisiana, United States
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BO
Brittney Olgaard
Colleague at CitadelGreater Chicago Area, United States
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KO
King Ong
Colleague at CitadelWinnetka, Illinois, United States
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MR
Morgan Roundtree
Colleague at CitadelNew York, United States
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HR
Hessam Rad
Colleague at CitadelLondon, England, United Kingdom
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Philipp Schiele education
Master Of Science - Ms, Finance
Finance
Bachelor Of Science - Bs, Business Studies And Economics | International Financial Economics
Frequently asked questions about Philipp Schiele
Quick answers generated from the profile data available on this page.
What company does Philipp Schiele work for?
Philipp Schiele works for Citadel.
What is Philipp Schiele's role at Citadel?
Philipp Schiele is listed as Quantitative Developer at Citadel at Citadel.
What is Philipp Schiele's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Philipp Schiele at Citadel.
Where is Philipp Schiele based?
Philipp Schiele is based in New York, United States while working with Citadel.
What companies has Philipp Schiele worked for?
Philipp Schiele has worked for Citadel, Cvxpy, Stanford University, Ludwig-Maximilians Universität München, and Scalable Capital.
Who are Philipp Schiele's colleagues at Citadel?
Philipp Schiele's colleagues at Citadel include Eric Betti, Warwick Norton, Eman Mohamed, Dale John, and Phil Lock.
How can I contact Philipp Schiele?
You can use AeroLeads to view verified contact signals for Philipp Schiele at Citadel, including work email, phone, and LinkedIn data when available.
What schools did Philipp Schiele attend?
Philipp Schiele holds Master Of Science - Ms, Finance from Ludwig-Maximilians Universität München.
What skills is Philipp Schiele known for?
Philipp Schiele is listed with skills including Finance, Derivatives, Python, Machine Learning, Visual Basic For Applications, Bloomberg, Matlab, and Microsoft Office.
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