Ivan Hu Email & Phone Number
@gs.com
LinkedIn matched
Who is Ivan Hu? Overview
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Ivan Hu is listed as Risk Quant Researcher at Goldman Sachs, based in New York, New York, United States. AeroLeads shows a work email signal at gs.com and a matched LinkedIn profile for Ivan Hu.
Ivan Hu previously worked as Market Risk Strat at Goldman Sachs and Risk Quant at Federal Reserve Bank Of San Francisco. Ivan Hu holds Ba, Philosophy, Mathematics from University Of California, Berkeley.
Email format at Goldman Sachs
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AeroLeads found 1 current-domain work email signal for Ivan Hu. Compare company email patterns before reaching out.
About Ivan Hu
MFE graduate from University of Washington CFRM• Finance quant risk modeling• Distinguished PhD research in logic and language• Enjoys teamwork, analyzing, writing
Listed skills include Logic, Business Analysis, Data Analytics, Statistical Programming, and 9 others.
Ivan Hu's current company
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Ivan Hu work experience
A career timeline built from the work history available for this profile.
Risk Quant
My work focused on model research and development for term structure models for yield curve and corporate credit spread forecasting as used by the Stress Testing Scenario Design Group and the Securities supervisory modeling team. As model owner of the FX models used in the Global Market Shock exercise, my responsibilities ranged from identifying.
Quantitative Analyst - Qfp Fellow
In my time as a Fellow in the rotational Quantitative Fellowship Program I contributed to projects across multiple Federal Reserve Banks within the Federal Reserve System involving model research and development in Stress Testing. These include the GMS exercise, counterparty credit risk, operational risk, retail credit, and wholesale credit. I also pursued.
Intern In Stress Testing Research, Division Of Supervision & Regulation
During my internship at the Federal Reserve Board I carried out several independent projects for the Stress Testing Research team within the Division of Supervision & Regulation. First, I developed an advanced name matching algorithm, involving a Perl regex-based data cleaning procedure, for matching obligor entities across the Federal Reserve's C&I.
Lecturer
I returned to my alma mater as a summer session GSI in Philosophy for Phil12a Introduction to Logic, covering an overview of the syntax and semantics for sentential and first-order logic. I taught a special session on the undecidability of first-order logic.
Postdoctoral Researcher
During my time as a postdoctoral researcher, I had papers accepted for publication in MIND and The Journal of Philosophy. I also delivered a symposium presentation at the American Philosophical Association Central Division 2016 Meeting.
Phd Researcher And Teaching Assistant
As a PhD Researcher in Philosophy, I wrote my dissertation on logic, modality, and formal semantics. My research was published in top-tier peer-reviewed journals. As a Teaching Assistant in Philosophy, I led discussion sections and taught guest lectures for 12 courses, helping instruct over 400 students in total over the course of my time as a graduate.
Colleagues at Goldman Sachs
Other employees you can reach at goldmansachs.com. View company contacts →
Velayutham Arumugam
Colleague at Goldman Sachs
Newbury, England, United Kingdom, United Kingdom
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DL
Daiana Loza
Colleague at Goldman Sachs
New York, New York, United States, United States
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MM
Mohammed Mahaboob Khan
Colleague at Goldman Sachs
Salt Lake City, Utah, United States, United States
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AK
Asifiqbal Karimkhan, Cfa, Frm
Colleague at Goldman Sachs
New York, New York, United States, United States
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UB
Umesh B.
Colleague at Goldman Sachs
New York City Metropolitan Area, United States, United States
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PC
Pete Chisholm
Colleague at Goldman Sachs
Petersfield, England, United Kingdom, United Kingdom
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DF
Daphne Faust
Colleague at Goldman Sachs
Dallas, Texas, United States, United States
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CE
Caroline Ezell
Colleague at Goldman Sachs
Fairhope, Alabama, United States, United States
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MV
Mark Valenti
Colleague at Goldman Sachs
Old Bridge, New Jersey, United States, United States
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SW
Shilpa Wadhera
Colleague at Goldman Sachs
Chicago, Illinois, United States, United States
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Ivan Hu education
Ba, Philosophy, Mathematics
Ms, Computational Finance And Risk Management (Mfe)
Phd, Philosophy
High School
Frequently asked questions about Ivan Hu
Quick answers generated from the profile data available on this page.
What company does Ivan Hu work for?
Ivan Hu works for Goldman Sachs.
What is Ivan Hu's role at Goldman Sachs?
Ivan Hu is listed as Risk Quant Researcher at Goldman Sachs.
What is Ivan Hu's email address?
AeroLeads has found 1 work email signal at @gs.com for Ivan Hu at Goldman Sachs.
Where is Ivan Hu based?
Ivan Hu is based in New York, New York, United States while working with Goldman Sachs.
What companies has Ivan Hu worked for?
Ivan Hu has worked for Goldman Sachs, Federal Reserve Bank Of San Francisco, Federal Reserve Bank Of Richmond - Charlotte, Federal Reserve Board Of Governors, and University Of California, Berkeley.
Who are Ivan Hu's colleagues at Goldman Sachs?
Ivan Hu's colleagues at Goldman Sachs include Velayutham Arumugam, Daiana Loza, Mohammed Mahaboob Khan, Asifiqbal Karimkhan, Cfa, Frm, and Umesh B..
How can I contact Ivan Hu?
You can use AeroLeads to view verified contact signals for Ivan Hu at Goldman Sachs, including work email, phone, and LinkedIn data when available.
What schools did Ivan Hu attend?
Ivan Hu holds Ba, Philosophy, Mathematics from University Of California, Berkeley.
What skills is Ivan Hu known for?
Ivan Hu is listed with skills including Logic, Business Analysis, Data Analytics, Statistical Programming, R, Sas Programming, Microsoft Word, and Microsoft Excel.
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