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Brian Scott Email & Phone Number

Quantitative Researcher at Charles Schwab
Location: Whitefish, Montana, United States 5 work roles 3 schools
1 phone found area 307 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 phone

Direct phone (307) ***-****
LinkedIn Profile matched
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Current company
Role
Quantitative Researcher
Location
Whitefish, Montana, United States

Who is Brian Scott? Overview

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Quick answer

Brian Scott is listed as Quantitative Researcher at Charles Schwab, based in Whitefish, Montana, United States. AeroLeads shows phone signal with area code 307 and a matched LinkedIn profile for Brian Scott.

Brian Scott previously worked as Quantitative Research Analyst at Charles Schwab and Senior Investment Analyst at Utah School & Institutional Trust Funds Office. Brian Scott holds Master'S Degree, Financial Engineering from Drucker School Of Management.

Company email context

Email format at Charles Schwab

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Charles Schwab

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Profile bio

About Brian Scott

Experienced quantitative analyst. Skilled in math, statistics, probability, and computer science. Practical application of risk management, risk monitoring, asset allocation, portfolio optimization, long convexity, crisis risk offset, tail risk hedging, rules-based investments, the visual display of quantitative information, object-oriented programming, Python/R/VBA/MATLAB. Substantial modeling skill set. Investment professional with a Master's Degree in Financial Engineering from Claremont.

Listed skills include Data Analysis, Financial Analysis, Financial Modeling, Matlab, and 36 others.

Current workplace

Brian Scott's current company

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Charles Schwab
Charles Schwab
Quantitative Researcher
San Francisco
Website
AeroLeads page
5 roles

Brian Scott work experience

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

Quantitative Research Analyst

Current

Westlake, Texas, US

Jun 2021 - Present

Financial Analyst

San Francisco, California, US

Aug 2014 - Jul 2015

Journalist/Producer

Brian Scott Projects

Jackson Hole, Washington DC, Denver: Film, television, print media focusing on outdoor sports, skiing and mountain bike; destination workdomestic and abroad; leadership roles in globally televised productions; bylines in international publications; primary relationships with Teton Gravity Research, Rainbow Media, POWDER magazine

Jan 2000 - Jan 2010
Team & coworkers

Colleagues at Charles Schwab

Other employees you can reach at schwab.com. View company contacts →

3 education records

Brian Scott education

Master'S Degree, Financial Engineering

Drucker School Of Management

Mathematics

University Of Colorado Denver

Ba, Technical Communication

Colorado State University
FAQ

Frequently asked questions about Brian Scott

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

What company does Brian Scott work for?

Brian Scott works for Charles Schwab.

What is Brian Scott's role at Charles Schwab?

Brian Scott is listed as Quantitative Researcher at Charles Schwab.

What is Brian Scott's phone number?

AeroLeads has found 1 phone signal(s) with area code 307 for Brian Scott at Charles Schwab.

Where is Brian Scott based?

Brian Scott is based in Whitefish, Montana, United States while working with Charles Schwab.

What companies has Brian Scott worked for?

Brian Scott has worked for Charles Schwab, Utah School & Institutional Trust Funds Office, Aspen Partners, Ltd., Wells Fargo, and Brian Scott Projects.

Who are Brian Scott's colleagues at Charles Schwab?

Brian Scott's colleagues at Charles Schwab include Dolores Heaton, Jay Rugg, Dennis Nguyen, Joaquin Contreras, and Karen Deegan.

How can I contact Brian Scott?

You can use AeroLeads to view verified contact signals for Brian Scott at Charles Schwab, including work email, phone, and LinkedIn data when available.

What schools did Brian Scott attend?

Brian Scott holds Master'S Degree, Financial Engineering from Drucker School Of Management.

What skills is Brian Scott known for?

Brian Scott is listed with skills including Data Analysis, Financial Analysis, Financial Modeling, Matlab, Microsoft Excel, Asset Management, R, and C++.

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