Pascal Böhi, Phd
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Pascal Böhi, Phd Email & Phone Number

Head Risk bei Bitcoin Suisse AG at Bitcoin Suisse AG
Location: Zug, Zug, Switzerland 6 work roles 3 schools
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Current company
Role
Head Risk bei Bitcoin Suisse AG
Location
Zug, Zug, Switzerland
Company size

Who is Pascal Böhi, Phd? Overview

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Quick answer

Pascal Böhi, Phd is listed as Head Risk bei Bitcoin Suisse AG at Bitcoin Suisse AG, a company with 143 employees, based in Zug, Zug, Switzerland. AeroLeads shows a matched LinkedIn profile for Pascal Böhi, Phd.

Pascal Böhi, Phd previously worked as Head Of Risk at Bitcoin Suisse Ag and Senior Market Risk Manager at Bitcoin Suisse Ag. Pascal Böhi, Phd holds Phd, Physics, Quantum Optics, Summa Cum Laude from Ludwig-Maximilians Universität München / Lmu Munich.

Company email context

Email format at Bitcoin Suisse AG

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Bitcoin Suisse AG

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Profile bio

About Pascal Böhi, Phd

Risk Management, Machine Learning, Programming, Portfolio Management

Listed skills include Programming, Algorithms, Data Analysis, Statistics, and 17 others.

Current workplace

Pascal Böhi, Phd's current company

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Bitcoin Suisse AG
Bitcoin Suisse Ag
Head Risk bei Bitcoin Suisse AG
zug, switzerland
Employees
143
AeroLeads page
6 roles

Pascal Böhi, Phd work experience

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

Senior Manager

Zürich

Credit Risk, Market Risk, Stress Testing and Project Management, mostly for G-SIB institutions (UK, CH)

Nov 2015 - May 2021

Portfolio Manager

Pfäffikon SZ, Switzerland

Development of algorithmic trading strategies which base on machine learning algorithms for institutional investors. ITM = 'Intelligent Trading Machines'Co-founder, Co-CEO, Portfolio ManagerTrading volume ~25 bln EUR in 2 years

Jul 2013 - Oct 2015

Quantitative Finance Analyst

Phi-T

Karlsruhe Und Umgebung, Deutschland

Algorithmic Trading Strategies for Lupus Alpha NeuroBayes Short Term Trading Fund. - Automated trading strategies on short timescales - Trading strategies using machine learning methods- Trend following trading strategies- Backtests and simulations

Jul 2011 - Jun 2013

Postdoc

Basel Und Umgebung, Schweiz

- Development of a simple device for sensing microwave near fields with hot atomic vapor- Patenting such devices- My previous patent on a similar project: U.S. Patent Nr. 12/729,812

Aug 2010 - Jul 2011
Team & coworkers

Colleagues at Bitcoin Suisse AG

Other employees you can reach at bitcoinsuisse.ch. View company contacts for 143 employees →

3 education records

Pascal Böhi, Phd education

Diploma / Msc., Physics

Eth Zürich

Education record

Diploma thesis in the group of Anton Zeilinger (Nobel Prize 2022)

FAQ

Frequently asked questions about Pascal Böhi, Phd

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

What company does Pascal Böhi, Phd work for?

Pascal Böhi, Phd works for Bitcoin Suisse AG.

What is Pascal Böhi, Phd's role at Bitcoin Suisse AG?

Pascal Böhi, Phd is listed as Head Risk bei Bitcoin Suisse AG at Bitcoin Suisse AG.

Where is Pascal Böhi, Phd based?

Pascal Böhi, Phd is based in Zug, Zug, Switzerland while working with Bitcoin Suisse AG.

What companies has Pascal Böhi, Phd worked for?

Pascal Böhi, Phd has worked for Bitcoin Suisse Ag, Fintegral, Itm-Predictive Suisse Gmbh, Phi-T, and University Of Basel.

Who are Pascal Böhi, Phd's colleagues at Bitcoin Suisse AG?

Pascal Böhi, Phd's colleagues at Bitcoin Suisse AG include Elizabeth Desmond, Esi Fazliu, Pascal Furrer, Nina A. Attinger, and Jasmin Keiblinger.

How can I contact Pascal Böhi, Phd?

You can use AeroLeads to view verified contact signals for Pascal Böhi, Phd at Bitcoin Suisse AG, including work email, phone, and LinkedIn data when available.

What schools did Pascal Böhi, Phd attend?

Pascal Böhi, Phd holds Phd, Physics, Quantum Optics, Summa Cum Laude from Ludwig-Maximilians Universität München / Lmu Munich.

What skills is Pascal Böhi, Phd known for?

Pascal Böhi, Phd is listed with skills including Programming, Algorithms, Data Analysis, Statistics, Maschinelles Lernen, Algorithmen, Matlab, and Machine Learning.

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