Nathaniel Powell
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Nathaniel Powell Email & Phone Number

Founder at Deep Market Making Inc. at Deep Market Making Inc.
Location: New York, New York, United States 16 work roles 2 schools
1 work email found @amazon.com 7 phones found area 801, 970, 201, 302, 425, and 503 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 7 phones

Work email p****@amazon.com
Direct phone (801) ***-****
LinkedIn Profile matched
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Current company
Role
Founder at Deep Market Making Inc.
Location
New York, New York, United States

Who is Nathaniel Powell? Overview

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Quick answer

Nathaniel Powell is listed as Founder at Deep Market Making Inc. at Deep Market Making Inc., based in New York, New York, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 801, 970, 201, 302, 425, 503, and a matched LinkedIn profile for Nathaniel Powell.

Nathaniel Powell previously worked as Founder at Deep Market Making Inc. and Senior AI/ML Strategist at Aim2. Nathaniel Powell holds B.S., Computer Science, Minors In Math, Physics from Brigham Young University.

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Email format at Deep Market Making Inc.

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*@amazon.com
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Profile bio

About Nathaniel Powell

Machine LearningMarket Making InnovatorI’m here to help you rapidly create optimum quotes that win market share while maximizing your trading and portfolio management objectives – all with powerful machine learning models, so you can accomplish more while doing less.Nathaniel boasts an exceptional track record of collaboration with “household-name” corporations such as Microsoft and JP Morgan & Chase.During his time at Microsoft as an applied machine learning researcher and data scientist, he was responsible for increasing the revenue of the Bing Ads platform by a staggering $100 million. And his work with JP Morgan & Chase yielded an estimated production improvement between $10 – 50 million. This is where he was first introduced to market making and the immense potential of machine learning to revolutionize this industry.As the head of machine learning R&D at AIM2, he helped them innovate their AI-based government bonds by lending them his expertise in experimentation protocol and installing several advanced machine learning techniques into their repertoire, honing his own ability to generate phenomenal results along the way.Having held the title of Machine Learning Executive Director for one of the largest financial institutions in the world (JP Morgan/Chase), he has now decided to bring the machine learning expertise of Fortune 500 companies to sell-side OTC traders at all sized firms.When he is not putting his years of experience maximizing production and profits to use for your benefit, Nathaniel can be found spending time with his amazing wife of 14 years, playing with his 3 young kiddos or volunteering with his local youth program.

Listed skills include Deep Reinforcement Learning, Software Design, Git, Distributed Systems, and 46 others.

Current workplace

Nathaniel Powell's current company

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Deep Market Making Inc.
Deep Market Making Inc.
Founder at Deep Market Making Inc.
AeroLeads page
16 roles · 23 years

Nathaniel Powell work experience

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

Founder

Current

New York, New York, US

We have seasoned cutting edge machine learning expertise and have helped make massive improvements to the bottom lines at JP Morgan Chase & Co. and Microsoft. We know how to outperform traditional fixed income pricing models such as Kalman filters using deep learning techniques, particularly for sell-side dealers. If you are a market making OTC trader.

Jun 2021 - Present

Senior Ai/Ml Strategist

Aim2
  • Applied ML research manager for AI-based Government Bond OTC Trading Platform
  • Researched and / or developed improvements in:o A/B back-testing using historical logso Multi-objective optimizationo Deep reinforcement learningo Model-based reinforcement learning
  • Co-authored research and code quality processes
May 2020 - Jan 2021

Applied Ai Ml Director, Machine Learning Center Of Excellence

New York, NY, US

  • Applied research leader in firm-wide Machine Learning Center of Excellence
  • Deep reinforcement learning for exchange traded assets
  • Bond pricing using deep learning, with $10-75 MM estimated impact in production
  • Deep semantic similarity model for client asset recommendation with market signals
May 2017 - May 2020

Senior Software Engineer

Redmond, Washington, US

I develop and maintain various machine learning and data mining pipelines which produces models that control aspects of the Bing Ad layout and other elements on the search engine results page (SERP). So far I have released quantitative machine learned models and data mined rules which have earned Microsoft approximately $100 million. I have also designed.

Jan 2014 - May 2017

Software Development Engineer Ii

Redmond, Washington, US

May 2011 - Jan 2014

Software Development Engineer

Bellevue, WA, US

Led the development of top selling feature for enterprise social Big Data product using priciples of machine learning, statistical natural language processing (text mining), and distributed systems

Aug 2010 - May 2011

Software Development Engineer

Amazon.Com

Developed in hard core distributed systems to help manage the large Amazon product catalog

2009 - Aug 2010

Software Engineer

Foundation For On-Line Genealogy
  • Developed for genealogical vertical search engine and social network WeRelate.org
  • Created a custom genealogical web crawling, data extraction, and indexing system
  • Designed and implemented the GEDCOM data parser and importer
  • Worked directly under Dallan Quass, Ph.D., Stanford
  • Data Parsing, Web Crawling & Indexing, Information Retrieval, Search Engines, Machine Learning, Data Extraction, Web Services, Entrepreneurship
  • Java, MySQL, MapReduce, Nutch, Solr, XML, XSL, XPath, SVN, GEDCOM, Linux
Feb 2006 - Mar 2009

Software Engineer

US

  • Designed and implemented module which automatically grades free-response math exams for our virtual education system (brainhoney.com)
  • Developed e-commerce features for our pay-to-learn system
  • Software Design, Distributed Systems, Web Services, User Interface, Web & Database Server Administration, Clustering, E-Commerce, System Design
  • C#, ASPX,.NET, XML, XPath, XAML, WPF, IIS, SQL Server Admin, Server Clustering, VMware, JavaScript, YUI, EXT JS, Tomcat, Amazon FPS, Maxima CAS
Aug 2007 - Feb 2009

Software Development Engineer

Omniture
2007 - 2007

Software Architect

Provo, UT, US

  • Designed innovative IT Infrastructure Library (ITIL)-compatible Configuration Management Database (CMDB)
  • Initiated successful effort to commercialize our CMDB technology for an estimated $8 million profit for the university
  • Responsible for hiring and managing a team of 8 student developers
  • Database design, Product Design, Architecture Design, Management, IP & Software Sales, Object-Relational Databases, ITIL
  • LAMP (Linux, Apache, MySQL, PHP), SQL’99, CVS
2003 - 2006 ~3 yrs

Research Assistant

Brigham Young University, Computer Science Dept.
  • Co-authored paper for a tier 1 IEEE conference (IPDPS)
  • Researched parallel algorithms for solving very large systems of linear equations
  • Multithreading, Parallel Computing, Shared-Nothing Architectures, Linear Algebra
  • C, MPI, PETSc, GDB, PBS, CVS, Linux
2004 - 2005 ~1 yr

Volunteer Representative

Salt Lake City, UT, US

  • Served as Zone Leader, responsible for supervising the work, training, finances, well-being and housing of all team members
  • Developed free IT and other courses to benefit local community
Feb 2001 - Jan 2003

Research Assistant

Provo, UT, US

  • Extreme ultra-violet and X-Ray thin film Physics research, presenting at national physics meeting and NASA symposium
  • Designed, implemented and documented advanced C++ modules in Windows and Linux, including a multithreaded user interface
Sep 2000 - Feb 2001

Software Intern

At-Home Professions
  • Microsoft SQL relational database design and implementation
  • Developed custom user interfaces to access a database of 2.5 million customers
Jan 1999 - Aug 1999

Game Scripting Intern

Hyperion Technologies, Inc.
  • Produced game-level design scripts for top-selling computer game (NOX), published by Westwood
Jan 1998 - Aug 1998
2 education records

Nathaniel Powell education

B.S., Computer Science, Minors In Math, Physics

Brigham Young University

Ib Diploma, Organic Chemistry, Physics, Calculus Ii, Spanish 5, Philosophy, World Authors, American History

International Baccalaureate Program
FAQ

Frequently asked questions about Nathaniel Powell

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

What company does Nathaniel Powell work for?

Nathaniel Powell works for Deep Market Making Inc..

What is Nathaniel Powell's role at Deep Market Making Inc.?

Nathaniel Powell is listed as Founder at Deep Market Making Inc. at Deep Market Making Inc..

What is Nathaniel Powell's email address?

AeroLeads has found 1 work email signal at @amazon.com for Nathaniel Powell at Deep Market Making Inc..

What is Nathaniel Powell's phone number?

AeroLeads has found 7 phone signal(s) with area code 801, 970, 201, 302, 425, 503 for Nathaniel Powell at Deep Market Making Inc..

Where is Nathaniel Powell based?

Nathaniel Powell is based in New York, New York, United States while working with Deep Market Making Inc..

What companies has Nathaniel Powell worked for?

Nathaniel Powell has worked for Deep Market Making Inc., Aim2, Jpmorgan Chase & Co., Microsoft, and Visible Technologies.

How can I contact Nathaniel Powell?

You can use AeroLeads to view verified contact signals for Nathaniel Powell at Deep Market Making Inc., including work email, phone, and LinkedIn data when available.

What schools did Nathaniel Powell attend?

Nathaniel Powell holds B.S., Computer Science, Minors In Math, Physics from Brigham Young University.

What skills is Nathaniel Powell known for?

Nathaniel Powell is listed with skills including Deep Reinforcement Learning, Software Design, Git, Distributed Systems, Subversion, Linux, Data Science, and Algorithms.

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