Laszlo Fabian

Laszlo Fabian: Email & Phone Number

Opt-Out
Quantitative Developer at Morgan Stanley|New York, New York, United States

Position:

Quantitative Developer at Morgan Stanley

Location:

New York, New York, United States

LinkedIn
View Laszlo Fabian's Email
Up to 10 free lookups. No credit card required.
Last updated: 2026-05-13
Updated: 2026-05-13

Found email addresses for Laszlo Fabian:

Business emails:
Personal emails:
f***@aol.com,
f***@gmail.com,
f***@morganstanley.com

Found phones for Laszlo Fabian:

+1-205-***-**55
Searching for Laszlo Fabian profiles
0% completed

A different Laszlo Fabian?

Sign up to search for other Laszlo Fabian's across our 850M+ professionals database

Work Experience 12 years

Quantitative Developer at Morgan Stanley

Jul 2024 - Current

Quantitative Developer at Morgan Stanley

Dec 2018 - Jul 2024

Financial Revisor at Juditicial Bailiff Office

Feb 2015 - Jan 2018

Intern at Debrecen International Airport

Jul 2014 - Sep 2014

Laszlo Fabian started working in 2014, then the employee has changed 2 companies and 2 jobs. On average, Laszlo Fabian works for one company for 2 years 8 months.

Their professional focus is Data Mining, Machine Learning, and Microsoft SQL Server across 3 core areas.

Education

Master's degree at Budapest Business School

Bachelors at University of Debrecen

Frequently Asked Questions

What is Laszlo Fabian's email address?

SignalHire found verified email addresses for Laszlo Fabian, both business and personal. Their business email is **@morganstanley.com, and personal emails include f***@yahoo.com, f***@aol.com, and f***@gmail.com.

What is Laszlo Fabian's phone number?

SignalHire found multiple verified phone numbers for Laszlo Fabian: +1-520-***-**02, and +1-205-***-**55.

How do I contact Laszlo Fabian at Morgan Stanley?

You can reach Laszlo Fabian through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.

What is Laszlo Fabian's professional background?

Laszlo Fabian has 12 years of professional experience. They have held roles including Quantitative Developer, Financial Revisor, and Intern at companies such as Morgan Stanley, Juditicial Bailiff Office, and Debrecen International Airport. Their education includes Master's degree from Budapest Business School, and Bachelors from University of Debrecen.

Is Laszlo Fabian's contact information up to date?

Yes. Laszlo Fabian's SignalHire profile was last updated on 13 May 2026, reflecting their current position as Quantitative Developer at Morgan Stanley in New York, NY, United States.

Similar profiles

Name
Company
Position
Anish Maurya
Quantitative Developer
Get contacts
Aditya Nemiwal
Quantitative Developer
Get contacts
MUHAMMAD IKHLAS BIN MOHD KAMAL
Freelance
Quantitative Developer
Get contacts
Michael Sacco
Quantitative Developer
Get contacts
Andrew Rovinski
Quantitative Developer
Get contacts
Rachith Wickramasinghe
Quantitative Developer
Get contacts
See more profiles

Other employees at Morgan Stanley

Name
Company
Position
Mark Iocco
Associate
Get contacts
Chase Rankin
Branch Administrator
Get contacts
Riya Patodi
Software Development Consultant
Get contacts
Manoj Kumar
Research Analyst
Get contacts
Akshaya Reddy
Data Analyst/ Data Engineer
Get contacts
Vijay Pratap Chandel
Director of Technology
Get contacts
Kate Carmain
Wealth Management Rotational Analyst
Get contacts
Phil Park
Vice President, Investment Consultant
Get contacts
Mudita Aggarwal
Technology Analyst
Get contacts
See more profiles

Data Privacy

GDPR Icon

GDPR COMPLIANT

SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.

CCPA Icon

CCPA COMPLIANT

SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.

BACK TO TOP