Quantitative Trader
Current
May 2024 - Present
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Naman Singhal Email & Phone Number
Quant Trader at GTS | Berkeley MFE '24
at
GTS
LinkedIn matched
✓ Verified May 2026
3 data sources
Profile completeness 100%
Current company
Role
Quant Trader at GTS | Berkeley MFE '24
Location
Berkeley, California, United States
Company size
Who is Naman Singhal? Overview
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Quick answer
Naman Singhal is listed as Quant Trader at GTS | Berkeley MFE '24 at GTS, a company with 172 employees, based in Berkeley, California, United States. AeroLeads shows a matched LinkedIn profile for Naman Singhal.
Naman Singhal previously worked as Quantitative Trader at Gts and Quantitative Trading Intern at Gts. Naman Singhal holds Master'S Degree, Financial Engineering, 3.98 / 4.0 from University Of California, Berkeley.
Company email context
Email format at GTS
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GTS
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Profile bio
About Naman Singhal
Naman Singhal is a Quant Trader at GTS | Berkeley MFE '24 at GTS. He possess expertise in leadership, amazon web services, public speaking, linux, algorithms and 16 more skills. He is proficient in English.
Listed skills include Leadership, Amazon Web Services, Public Speaking, Linux, and 17 others.
Current workplace
Naman Singhal's current company
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5 roles
Naman Singhal work experience
A career timeline built from the work history available for this profile.
Oct 2023 - Jan 2024
Senior Member Technical
- Worked in a front office systematic trading team primarily trading Futures, Forwards and FX, as one of the top quantitative developers; specializing in Python, tick data analysis, execution strategies, roll strats.
- Enhanced execution strategies for Futures instruments by analyzing trade data and market microstructure; improvements reduced slippage/market impact and meet compliance requirements
- Developed an algorithm to evaluate and benchmark daily forex spot-next rolls quotes; analyzed marginal PnL statistics of phone and electronic quotes to automate rolls
- Created a simulation setup to test and report the performance of short-horizon execution strategies and highlight areas of improvement; resulted in 20-40% faster development cycles
- Improved an intraday market liquidity model based on depth order book analysis and tick quotes
- Managed addition of new instruments for trading, including analysis of EOD and tick data, generation of roll schedules, addition to risk model; Resulted in 50% increase in expected trading utility
Jan 2022 - Mar 2023
Member Technical
Jul 2020 - Dec 2021
Intern
- Designed a data management solution to store huge volumes (approx. 2M rows per date) of Reuters time series data for stable and easy retrieval- Developed a python library for fast and efficient access to data including multi‐layer caching, filters, and validations
May 2019 - Jul 2019
Team & coworkers
Colleagues at GTS
Other employees you can reach at gtsx.com. View company contacts for 172 employees →
KK
Kacper Kostecki
Colleague at Gts
Warsaw, Mazowieckie, Poland, Poland
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DT
Darren Taube
Colleague at Gts
Jupiter, Florida, United States, United States
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KX
Kai Xing
Colleague at Gts
Charlotte Metro, United States
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SK
Swaty Khanduri
Colleague at Gts
Washim, India, India
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MS
Michael Strashnov
Colleague at Gts
Union City, New Jersey, United States, United States
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SD
Stephen Demartin
Colleague at Gts
New York City Metropolitan Area, United States
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KA
Koffi Arsène Wilf Tano
Colleague at Gts
Abidjan, Abidjan, Côte d'Ivoire, Côte d'Ivoire
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SP
Samir Patel
Colleague at Gts
Mumbai, Maharashtra, India, India
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GM
Gregg Maloney
Colleague at Gts
New York, New York, United States, United States
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JJ
Joe Juca
Colleague at Gts
New York, New York, United States, United States
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Kacper Kostecki
Colleague at Gts
Warsaw, Mazowieckie, Poland, Poland
View →
DT
Darren Taube
Colleague at Gts
Jupiter, Florida, United States, United States
View →
KX
Kai Xing
Colleague at Gts
Charlotte Metro, United States
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SK
Swaty Khanduri
Colleague at Gts
Washim, India, India
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MS
Michael Strashnov
Colleague at Gts
Union City, New Jersey, United States, United States
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SD
Stephen Demartin
Colleague at Gts
New York City Metropolitan Area, United States
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KA
Koffi Arsène Wilf Tano
Colleague at Gts
Abidjan, Abidjan, Côte d'Ivoire, Côte d'Ivoire
View →
SP
Samir Patel
Colleague at Gts
Mumbai, Maharashtra, India, India
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GM
Gregg Maloney
Colleague at Gts
New York, New York, United States, United States
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JJ
Joe Juca
Colleague at Gts
New York, New York, United States, United States
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2 education records
Naman Singhal education
Master'S Degree, Financial Engineering, 3.98 / 4.0
Bachelor Of Technology, Computer Science, 9.3 / 10 (Equivalent To 3.9 / 4)
FAQ
Frequently asked questions about Naman Singhal
Quick answers generated from the profile data available on this page.
What company does Naman Singhal work for?
Naman Singhal works for GTS.
What is Naman Singhal's role at GTS?
Naman Singhal is listed as Quant Trader at GTS | Berkeley MFE '24 at GTS.
Where is Naman Singhal based?
Naman Singhal is based in Berkeley, California, United States while working with GTS.
What companies has Naman Singhal worked for?
Naman Singhal has worked for Gts and D. E. Shaw India Private Limited.
Who are Naman Singhal's colleagues at GTS?
Naman Singhal's colleagues at GTS include Kacper Kostecki, Darren Taube, Kai Xing, Swaty Khanduri, and Michael Strashnov.
How can I contact Naman Singhal?
You can use AeroLeads to view verified contact signals for Naman Singhal at GTS, including work email, phone, and LinkedIn data when available.
What schools did Naman Singhal attend?
Naman Singhal holds Master'S Degree, Financial Engineering, 3.98 / 4.0 from University Of California, Berkeley.
What skills is Naman Singhal known for?
Naman Singhal is listed with skills including Leadership, Amazon Web Services, Public Speaking, Linux, Algorithms, C, Microsoft Powerpoint, and Matlab.
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