Logan Mallory
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Logan Mallory Email & Phone Number

Quantitative Engineer @ Dexterity Capital at Dexterity Capital
Location: San Francisco, California, United States 6 work roles 1 school
1 work email found @jpmchase.com 1 phone found area 888 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email l****@jpmchase.com
Direct phone (888) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Quantitative Engineer @ Dexterity Capital
Location
San Francisco, California, United States

Who is Logan Mallory? Overview

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Quick answer

Logan Mallory is listed as Quantitative Engineer @ Dexterity Capital at Dexterity Capital, based in San Francisco, California, United States. AeroLeads shows a work email signal at jpmchase.com, phone signal with area code 888, and a matched LinkedIn profile for Logan Mallory.

Logan Mallory previously worked as Quantitative Engineer at Dexterity Capital and Software Engineer at Jpmorgan Chase & Co.. Logan Mallory holds Bachelor Of Arts - Ba, Computer Science, Data Analytics from Denison University.

Company email context

Email format at Dexterity Capital

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{first}.{last}@jpmchase.com
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AeroLeads found 1 current-domain work email signal for Logan Mallory. Compare company email patterns before reaching out.

Profile bio

About Logan Mallory

Logan Mallory is a Quantitative Engineer @ Dexterity Capital at Dexterity Capital. He possess expertise in critical thinking, data analysis, c++, quantitative research, statistical modeling and 36 more skills.

Listed skills include Critical Thinking, Data Analysis, C++, Quantitative Research, and 37 others.

Current workplace

Logan Mallory's current company

Company context helps verify the profile and gives searchers a useful next step.

Dexterity Capital
Dexterity Capital
Quantitative Engineer @ Dexterity Capital
AeroLeads page
6 roles

Logan Mallory work experience

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

Software Engineer

New York, NY, US

  • “Assessing Data Records”, Logan Mallory (inventor), J.P. Morgan Chase Bank N.A. (assignee) - US Patent No. US-2023/0086319-A1, September 17th 2021
  • “Modifying Risk Model Utilities”, Logan Mallory (inventor), J.P. Morgan Chase Bank N.A. (assignee) - US Patent No. US-2023/0267539-A1, February 23rd 2022
Jul 2020 - Apr 2022

Research Assistant, Data Analytics Dpt.

Granville, OH, US

Sep 2019 - Jan 2020

Derivatives Market Risk Intern

Chicago, IL, US

May 2018 - Aug 2018

Technical Analyst Intern

Mosaic Wealth Partners
Jan 2017 - Jan 2018
1 education record

Logan Mallory education

  • Denison University
    Denison University
    Data Analytics
FAQ

Frequently asked questions about Logan Mallory

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

What company does Logan Mallory work for?

Logan Mallory works for Dexterity Capital.

What is Logan Mallory's role at Dexterity Capital?

Logan Mallory is listed as Quantitative Engineer @ Dexterity Capital at Dexterity Capital.

What is Logan Mallory's email address?

AeroLeads has found 1 work email signal at @jpmchase.com for Logan Mallory at Dexterity Capital.

What is Logan Mallory's phone number?

AeroLeads has found 1 phone signal(s) with area code 888 for Logan Mallory at Dexterity Capital.

Where is Logan Mallory based?

Logan Mallory is based in San Francisco, California, United States while working with Dexterity Capital.

What companies has Logan Mallory worked for?

Logan Mallory has worked for Dexterity Capital, Jpmorgan Chase & Co., Denison University, Cme Group, and Mosaic Wealth Partners.

How can I contact Logan Mallory?

You can use AeroLeads to view verified contact signals for Logan Mallory at Dexterity Capital, including work email, phone, and LinkedIn data when available.

What schools did Logan Mallory attend?

Logan Mallory holds Bachelor Of Arts - Ba, Computer Science, Data Analytics from Denison University.

What skills is Logan Mallory known for?

Logan Mallory is listed with skills including Critical Thinking, Data Analysis, C++, Quantitative Research, Statistical Modeling, Data Mining, Research, and Python.

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