Patrick Wyss
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Patrick Wyss Email & Phone Number

Chief Investment Office GWM - Quantitative Strategies at UBS
Location: Zurich, Switzerland, Switzerland 6 work roles 2 schools
1 work email found @ubs.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email p****@ubs.com
LinkedIn Profile matched
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Current company
UBS
Role
Chief Investment Office GWM - Quantitative Strategies
Location
Zurich, Switzerland, Switzerland
Company size

Who is Patrick Wyss? Overview

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Quick answer

Patrick Wyss is listed as Chief Investment Office GWM - Quantitative Strategies at UBS, a company with 28 employees, based in Zurich, Switzerland, Switzerland. AeroLeads shows a work email signal at ubs.com and a matched LinkedIn profile for Patrick Wyss.

Patrick Wyss previously worked as Stress Methodology at Ubs and Risk Analytics Lombard at Ubs. Patrick Wyss holds Master Of Science Uzh Ethz (Msc), Quantitative Finance from University Of Zurich.

Company email context

Email format at UBS

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{first}.{last}@ubs.com
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AeroLeads found 1 current-domain work email signal for Patrick Wyss. Compare company email patterns before reaching out.

Profile bio

About Patrick Wyss

Patrick Wyss is a Chief Investment Office GWM - Quantitative Strategies at UBS. He possess expertise in quantitative finance, business analysis, matlab, analytics, management consulting and 7 more skills. He is proficient in English.

Listed skills include Quantitative Finance, Business Analysis, Matlab, Analytics, and 8 others.

Current workplace

Patrick Wyss's current company

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UBS
Ubs
Chief Investment Office GWM - Quantitative Strategies
Zürich, ZH, CH
Employees
28
AeroLeads page
6 roles

Patrick Wyss work experience

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

Chief Investment Office Gwm - Quantitative Strategies

Ubs

Zürich, ZH, CH

Chief Investment Office Gwm - Quantitative Strategies

Current
Ubs

Co-managing a quantitative cross-asset strategy with multi-billion assets under managementSupporting tactical and strategic asset allocation decisions with quantitative models

Sep 2015 - Present

Stress Methodology

Ubs

Development of a stress testing model for country riskAssessing multiple risks (e.g property and equipment risks, contagion risks)

Mar 2015 - Aug 2015

Risk Analytics Lombard

Ubs

Zurich

Development of stress testing models for Lombard loans

Sep 2014 - Feb 2015

Business Analyst

Talos Management Consultants

Project management for a European-wide regulatory project at a major Swiss bank

Nov 2013 - Aug 2014

Tax Advisor

Advised private clients on tax-related questionsPrepared tax declarations for individuals, corporations and organizations

Feb 2008 - Nov 2013
2 education records

Patrick Wyss education

FAQ

Frequently asked questions about Patrick Wyss

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

What company does Patrick Wyss work for?

Patrick Wyss works for UBS.

What is Patrick Wyss's role at UBS?

Patrick Wyss is listed as Chief Investment Office GWM - Quantitative Strategies at UBS.

What is Patrick Wyss's email address?

AeroLeads has found 1 work email signal at @ubs.com for Patrick Wyss at UBS.

Where is Patrick Wyss based?

Patrick Wyss is based in Zurich, Switzerland, Switzerland while working with UBS.

What companies has Patrick Wyss worked for?

Patrick Wyss has worked for Ubs, Talos Management Consultants, and Zürcher Kantonalbank.

Who are Patrick Wyss's colleagues at UBS?

Patrick Wyss's colleagues at UBS include Ethan Harro and Flloyd Rewa.

How can I contact Patrick Wyss?

You can use AeroLeads to view verified contact signals for Patrick Wyss at UBS, including work email, phone, and LinkedIn data when available.

What schools did Patrick Wyss attend?

Patrick Wyss holds Master Of Science Uzh Ethz (Msc), Quantitative Finance from University Of Zurich.

What skills is Patrick Wyss known for?

Patrick Wyss is listed with skills including Quantitative Finance, Business Analysis, Matlab, Analytics, Management Consulting, Economics, Stochastic Calculus, and Financial Modeling.

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