Hang Dong
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Hang Dong Email & Phone Number

GenAI Analyst at Morgan Stanley
Location: Berkeley, California, United States 8 work roles 3 schools
1 work email found @peoriaaz.gov LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

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Current company
Morgan Stanley
Role
GenAI Analyst
Location
Berkeley, California, United States
Company size
94640 employees

Who is Hang Dong? Overview

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Quick answer

Hang Dong is listed as GenAI Analyst at Morgan Stanley, a with 94640 employees, based in Berkeley, California, United States. AeroLeads shows a work email signal at peoriaaz.gov and a matched LinkedIn profile for Hang Dong.

Hang Dong previously worked as Quantitative Research Intern at Panagora Asset Management and Industry Project at Centiva Capital. Hang Dong holds Master'S Degree, Financial Engineering from University Of California, Berkeley, Haas School Of Business.

Company email context

Email format at Morgan Stanley

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{last}.{first}@peoriaaz.gov
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Profile bio

About Hang Dong

Currently enrolled in UC Berkeley top-ranked Master of Financial Engineering Program at the Haas School of Business and expected to graduate in March of 2025. Bachelor of Financial Engineering at Wuhan University. Seeking full-time jobs in quantitative research/trading.Solid background in mathematics(statistics, stochastic process, time series, ODE, etc.), computer technology(Python, C++, machine learning, NLP, etc.), and finance. Had experience in various assets, including Equity, Fixed Income, Derivatives. Demonstrated quantitative, problem-solving, and communication skills at work. Internship experience in quantitative research both from the buy side and sell side.

Current workplace

Hang Dong's current company

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Morgan Stanley
Morgan Stanley
GenAI Analyst
Berkeley, CA, US
Website
morganstanley.com
Employees
94640
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8 roles

Hang Dong work experience

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

Quantitative Research Intern

Current
Panagora Asset Management

Boston, Massachusetts, United States

Built and fine-tuned Large Language Models (GPT, BERT) for firm link classification, appliedPageRank algorithm to form company network.Compared the performance of embedding models on semantic distance tasks across various contexts.Utilized pre-trained embedding models to analyze semantic similarity between companies’ patents and top academic papers, deriving innovation factors for stock selection.

Oct 2024 - Present

Industry Project

Current
Centiva Capital

Forecast sector-based option implied volatility surface using kernel smoothers, explore mispricing and arbitrage opportunities.

Aug 2024 - Present

Quantitative Research Intern

China Ifund Asset Management Co., Ltd

Designed a pricing model for convertible bond to inform strategies, including undervaluation strategy, market timing strategy based on odds, and delta hedging strategy. Built a genetic programming alpha model and applied neural network models (LSTM, GRU) for stocks.Analyzed redemption and downward adjustment events of convertible bonds. Enhanced strategy with event signals.

Jul 2023 - Jan 2024

Quantitative Research Intern

洛书投资（Luoshu Investment）

Shanghai

Constructed high-frequency convertible bond signals, and contributed 10+ signals with IC 0.03+ and Sharpe 2.0+.Constructed a quick framework to analyze and visualize future tick data quality from international future exchanges.Provided a database to automatically aggregate and update convertible bonds' daily announcement information. Utilized regression models to conduct event driven research based on the database.

Jul 2022 - Dec 2022

Quantitative Research Intern

Super Quantum Capital Management

Shenzhen

Launched 30+ market-neutral stock factors based on CAPM, Fama-French three-factor and Barra models.Revised the long position failure of several high-frequency factors by increasing dimension and piecewise regression.Investigated the Low-Risk Anomalies in the A-share market, interpreting market sentiment, market concentration, etc.

Feb 2022 - Apr 2022

Consulting Intern，Tech Group

Kpmg

Shanghai

Participated in the Alibaba's Big Data Platform project, provided a technical plan of user profile analysis for "2021 Ali Cloud Data Asset White Paper".Provided life cycle management and digital transformation plans for Xinhua Insurance and PingAn Insurance.

Jul 2021 - Oct 2021

Equity Research Intern

Cicc

Dalian

Analyzed the growth potential of investment funds in new energy and semiconductor sectors. Assessed the eligibility of institutional investors, analyzing data on net asset, bail-in and available capital.

Jan 2021 - Mar 2021
Team & coworkers

Colleagues at Morgan Stanley

Other employees you can reach at morganstanley.com. View company contacts for 94640 employees →

DE David Einstein David Einstein Colleague at Morgan StanleyNeptune, New Jersey, United States View → SK Sindhu K Sindhu K Colleague at Morgan StanleyUnited States View → MM Murdo Mackay Murdo Mackay Colleague at Morgan StanleyGlasgow, Scotland, United Kingdom View → SZ Saba Zahid Saba Zahid Colleague at Morgan StanleyNew York City Metropolitan Area, United States View → ZS Zachery Shinaberry Zachery Shinaberry Colleague at Morgan StanleyRising Sun, Maryland, United States View → RA Ryan Adelman Ryan Adelman Colleague at Morgan StanleyNew York City Metropolitan Area, United States View → AM Ashli Morris Ashli Morris Colleague at Morgan StanleySalt Lake City, Utah, United States View → PN Pavella Nancy Pavella Nancy Colleague at Morgan StanleyBengaluru, Karnataka, India View → MP Matt Peacock Matt Peacock Colleague at Morgan StanleyHouston, Texas, United States View → GO Glenda Oliver Glenda Oliver Colleague at Morgan StanleyNew York, United States View →
3 education records

Hang Dong education

FAQ

Frequently asked questions about Hang Dong

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

What company does Hang Dong work for?

Hang Dong works for Morgan Stanley.

What is Hang Dong's role at Morgan Stanley?

Hang Dong is listed as GenAI Analyst at Morgan Stanley.

What is Hang Dong's email address?

AeroLeads has found 1 work email signal at @peoriaaz.gov for Hang Dong at Morgan Stanley.

Where is Hang Dong based?

Hang Dong is based in Berkeley, California, United States while working with Morgan Stanley.

What companies has Hang Dong worked for?

Hang Dong has worked for Morgan Stanley, Panagora Asset Management, Centiva Capital, China Ifund Asset Management Co., Ltd, and 洛书投资（Luoshu Investment）.

Who are Hang Dong's colleagues at Morgan Stanley?

Hang Dong's colleagues at Morgan Stanley include David Einstein, Sindhu K, Murdo Mackay, Saba Zahid, and Zachery Shinaberry.

How can I contact Hang Dong?

You can use AeroLeads to view verified contact signals for Hang Dong at Morgan Stanley, including work email, phone, and LinkedIn data when available.

What schools did Hang Dong attend?

Hang Dong holds Master'S Degree, Financial Engineering from University Of California, Berkeley, Haas School Of Business.

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