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Tat Sang Fung, Ph.D. Email & Phone Number

Global Head of Risk Model Methodology at Jefferies / Columbia University Adjunct Professor at Jefferies
Location: New York, United States 4 work roles 3 schools
1 work email found @jefferies.com 1 phone found area 646 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email t****@jefferies.com
Direct phone (646) ***-****
LinkedIn Profile matched
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Current company
Role
Global Head of Risk Model Methodology at Jefferies / Columbia University Adjunct Professor
Location
New York, United States

Who is Tat Sang Fung, Ph.D.? Overview

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Quick answer

Tat Sang Fung, Ph.D. is listed as Global Head of Risk Model Methodology at Jefferies / Columbia University Adjunct Professor at Jefferies, based in New York, United States. AeroLeads shows a work email signal at jefferies.com, phone signal with area code 646, and a matched LinkedIn profile for Tat Sang Fung, Ph.D..

Tat Sang Fung, Ph.D. previously worked as Global Head of Risk Model Methodology at Jefferies and Adjunct Professor at Columbia University In The City Of New York. Tat Sang Fung, Ph.D. holds Phd, Mathematics from Columbia University.

Company email context

Email format at Jefferies

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*@jefferies.com
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AeroLeads found 1 current-domain work email signal for Tat Sang Fung, Ph.D.. Compare company email patterns before reaching out.

Profile bio

About Tat Sang Fung, Ph.D.

Area of expertise: Quantitative Finance, Risk Model Methodology and MathematicsInvestment Bank Senior Vice PresidentAdjunct professor at Columbia University in parallel since 2006Quant team manager with 26 years of Treasury and Capital Markets vendorInsights Discovery Personality Profile Report describes Tat as:“logical, analytical, ingenious thinker, long-range planner, good at anything that requires rapid reasoning, good problem solver, practical, gifted in natural marketing and selling, quick to spot opportunity, dependable, able to get things done, action oriented, resourceful…”

Listed skills include Quantitative Finance, Derivatives, Trading Systems, Interest Rate Derivatives, and 6 others.

Current workplace

Tat Sang Fung, Ph.D.'s current company

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Jefferies
Jefferies
Global Head of Risk Model Methodology at Jefferies / Columbia University Adjunct Professor
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4 roles

Tat Sang Fung, Ph.D. work experience

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

Global Head Of Risk Model Methodology

Current

New York City, New York, Us

Recognition: 2023 Jefferies Awards winner (Corporate)Feb 2021 - present: Global Head of Risk Model Methodology at JefferiesFeb 2020 - Feb 2021: Consultant

Feb 2020 - Present

Adjunct Professor

Current

New York, Ny, Us

2021 Jan - present: Adjunct Professor (Graduate School of Arts and Sciences)2006 - 2020: Adjunct Assistant Professor (Graduate School of Arts and Sciences)Teaching Graduate Course: GR5030 (formerly G6071) Numerical Methods in Finance, every Spring semester. Typical class size = 100Teaching/Taught also Probability and Statistics classes for Statistics department / Columbia data Science Institute

Jan 2006 - Present

President And Senior Advisor

Current
Finch Lead Inc.
Aug 2019 - Present

Senior Manager, Senior Principal, Head Of Financial Engineering Quant And Structuring

Paddington, London, Gb

Quantitative Finance, Risk Management Methodology, Mathematics- Lead a team of quants to overcome Quant challenges- Front, Middle office, Risk Management (Summit) product manager- Create, evolve modules with product management roadmap- Regularly help winning deals- Protect business line annual revenue - Functionality owner of IR, FX, Equity, Fixed income, inflation, structured products front (valuation, positions, conventional measures like modified duration, conv adj) and middle (risk management, limits). Worked closely across teams to ensure success- Product / module leading effort and responsibility: FRTB, IBOR and RFR alternatives evolution (SOFR, ESTER, SONIA, and more), multi-curve/ OIS/Fed Fund discounting module, CVA/DVA/FVA/XVA initiatives, Summit curve generations and interpolations, Summit pricing models, hedge functionality (real time or report based), positions, FAS133/IAS39 Effectiveness test modeling, VaR, credit risk, market risk, AAD studies, Explanatory Profit and Loss, model validation.

Jun 1996 - Jun 2019
3 education records

Tat Sang Fung, Ph.D. education

Phd, Mathematics

Columbia University

Bachelor Of Science, Mathematics

The University Of Hong Kong

Education record

Wah Yan College, Kowloon
FAQ

Frequently asked questions about Tat Sang Fung, Ph.D.

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

What company does Tat Sang Fung, Ph.D. work for?

Tat Sang Fung, Ph.D. works for Jefferies.

What is Tat Sang Fung, Ph.D.'s role at Jefferies?

Tat Sang Fung, Ph.D. is listed as Global Head of Risk Model Methodology at Jefferies / Columbia University Adjunct Professor at Jefferies.

What is Tat Sang Fung, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @jefferies.com for Tat Sang Fung, Ph.D. at Jefferies.

What is Tat Sang Fung, Ph.D.'s phone number?

AeroLeads has found 1 phone signal(s) with area code 646 for Tat Sang Fung, Ph.D. at Jefferies.

Where is Tat Sang Fung, Ph.D. based?

Tat Sang Fung, Ph.D. is based in New York, United States while working with Jefferies.

What companies has Tat Sang Fung, Ph.D. worked for?

Tat Sang Fung, Ph.D. has worked for Jefferies, Columbia University In The City Of New York, Finch Lead Inc., and Finastra.

How can I contact Tat Sang Fung, Ph.D.?

You can use AeroLeads to view verified contact signals for Tat Sang Fung, Ph.D. at Jefferies, including work email, phone, and LinkedIn data when available.

What schools did Tat Sang Fung, Ph.D. attend?

Tat Sang Fung, Ph.D. holds Phd, Mathematics from Columbia University.

What skills is Tat Sang Fung, Ph.D. known for?

Tat Sang Fung, Ph.D. is listed with skills including Quantitative Finance, Derivatives, Trading Systems, Interest Rate Derivatives, Market Risk, Risk Management, Financial Engineering, and Mathematics.

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