Jie Wang
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Jie Wang Email & Phone Number

Quantitative Developer at Cubist Systematic Strategies
Location: New York, New York, United States 7 work roles 2 schools
1 work email found @exoduspoint.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email j****@exoduspoint.com
LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Quantitative Developer
Location
New York, New York, United States

Who is Jie Wang? Overview

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Quick answer

Jie Wang is listed as Quantitative Developer at Cubist Systematic Strategies, based in New York, New York, United States. AeroLeads shows a work email signal at exoduspoint.com and a matched LinkedIn profile for Jie Wang.

Jie Wang previously worked as Quantitative Developer at Exoduspoint Capital Management, Lp and Quantitative Developer, AVP at Jefferies. Jie Wang holds Doctor Of Philosophy (Ph.D.), Mathematics from The Ohio State University.

Company email context

Email format at Cubist Systematic Strategies

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{first}.{last}@exoduspoint.com
86% confidence

AeroLeads found 1 current-domain work email signal for Jie Wang. Compare company email patterns before reaching out.

Profile bio

About Jie Wang

Experienced quant working at the intersection of analytics, data and technology, with broad interest in Rates, Credit, FX and Equity.Strive for clean, concise and scalable code (C++, Python, Java). Open-minded to cutting-edge technologies.Enthusiastic to learn why financial market and economy behave the way they do.

Listed skills include Research, Statistics, Data Analysis, Python, and 9 others.

Current workplace

Jie Wang's current company

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

Cubist Systematic Strategies
Cubist Systematic Strategies
Quantitative Developer
AeroLeads page
7 roles · 15 years

Jie Wang work experience

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

Quantitative Developer

New York, US

Building out trading platform for pre-trade analytics (Rates, Credit) and back-testing.

Mar 2019 - Jan 2023

Quantitative Developer, Avp

New York City, New York, US

Fixed income E-trading. Build out real-time bond/swap pricing engine for offering/quoting across multiple venues leveraging ION.

Oct 2017 - Feb 2019

Quantitative Developer

New York, New York, US

Research, develop and implement pricing/risk models for Fixed Income securities, both cash and derivative, listed and OTC, within RiskVal's analytic Library.Fixed income trading desk quantitative support.

Nov 2015 - Oct 2017

Visiting Assistant Professor

Salt Lake City, UT, US

2011 - 2012 ~1 yr
2 education records

Jie Wang education

Doctor Of Philosophy (Ph.D.), Mathematics

The Ohio State University

Bachelor’S Degree, Mathematics

University Of Science And Technology Of China
FAQ

Frequently asked questions about Jie Wang

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

What company does Jie Wang work for?

Jie Wang works for Cubist Systematic Strategies.

What is Jie Wang's role at Cubist Systematic Strategies?

Jie Wang is listed as Quantitative Developer at Cubist Systematic Strategies.

What is Jie Wang's email address?

AeroLeads has found 1 work email signal at @exoduspoint.com for Jie Wang at Cubist Systematic Strategies.

Where is Jie Wang based?

Jie Wang is based in New York, New York, United States while working with Cubist Systematic Strategies.

What companies has Jie Wang worked for?

Jie Wang has worked for Cubist Systematic Strategies, Exoduspoint Capital Management, Lp, Jefferies, Riskval Financial Solutions, Llc, and University Of California San Diego.

How can I contact Jie Wang?

You can use AeroLeads to view verified contact signals for Jie Wang at Cubist Systematic Strategies, including work email, phone, and LinkedIn data when available.

What schools did Jie Wang attend?

Jie Wang holds Doctor Of Philosophy (Ph.D.), Mathematics from The Ohio State University.

What skills is Jie Wang known for?

Jie Wang is listed with skills including Research, Statistics, Data Analysis, Python, C++, Regression Analysis, Time Series Analysis, and Fixed Income.

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