Roman Paolucci
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Roman Paolucci Email & Phone Number

Quantitative Researcher at Quant Guild
Location: New York, New York, United States 6 work roles 2 schools
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Role
Quantitative Researcher
Location
New York, New York, United States

Who is Roman Paolucci? Overview

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Roman Paolucci is listed as Quantitative Researcher at Quant Guild, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Roman Paolucci.

Roman Paolucci previously worked as AI Specialist at Saddle River Day School and Computer Science Teacher at Saddle River Day School. Roman Paolucci holds Master Of Science - Ms, Operations Research, 3.83/4.00 from Columbia University.

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Quant Guild

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Profile bio

About Roman Paolucci

Experienced in developing large-scale machine learning pipelines, fluent in Python, working with AWS, and tuning/leveraging large language models.

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Quant Guild
Quant Guild
Quantitative Researcher
New York, NY, US
AeroLeads page
6 roles

Roman Paolucci work experience

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

Ai Specialist

Current

Saddle River, New Jersey, United States

Developing and executing SRDS’ AI strategy- AI product management- Faculty trainings and integration- Fundraising and marketing

Jun 2024 - Present

Computer Science Teacher

Saddle River, New Jersey, United States

Curriculum design, course development, teaching/tutoring- Honors Artificial Intelligence (post-AP)- Honors Data Science (post-AP)- Honors Natural Language Processing (post-AP)- Computer Science 101 (Python)- Computer Science 102 (Java)- AP CSA- AP CSP

May 2023 - Jun 2024

Graduate Student Researcher

New York, New York, United States

Research in NLPResearch:- built a large scale data pipeline to query, clean, and preprocess millions of tweets- developed a new temporally neutral natural language processing algorithm to assign sentiment to special characters (emojis)- we find, after controlling for several factors including alternative measures of sentiment, our algorithm uniquely.

Jan 2023 - May 2023

Graduate Student Researcher

Knoxville, Tennessee, United States

Research in NLPResearch:- built a large scale data pipeline to query, clean, and preprocess millions of tweets- developed a new temporally neutral natural language processing algorithm to assign sentiment to special characters (emojis)- we find, after controlling for several factors including alternative measures of sentiment, our algorithm uniquely.

Aug 2022 - Jan 2023

Quantitative Researcher

New York, New York, United States

Quant on Bruno Dupire’s team- exotic derivative pricing using neural networks- approximating pricing functionals using machine learning- equity trading signal research using alternative data- generative machine learning for volatility surfaces - generative machine learning for portfolio risk measures

May 2021 - Aug 2022
2 education records

Roman Paolucci education

Master Of Science - Ms, Operations Research, 3.83/4.00

Concentration in Machine Learning and Artificial Intelligence Courses: Probability & Statistics, Stochastic Processes, Artificial.

Bachelor Of Science - Bs, Quantitative Finance And Mathematics, 3.94/4.00

Activities and Societies: JMU Club Brazilian Jiu-Jitsu, JMU Co-Ed Cheerleading Graduated Summa Cum Laude with a Double Major in.

FAQ

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What company does Roman Paolucci work for?

Roman Paolucci works for Quant Guild.

What is Roman Paolucci's role at Quant Guild?

Roman Paolucci is listed as Quantitative Researcher at Quant Guild.

Where is Roman Paolucci based?

Roman Paolucci is based in New York, New York, United States while working with Quant Guild.

What companies has Roman Paolucci worked for?

Roman Paolucci has worked for Quant Guild, Saddle River Day School, Columbia University, University Of Tennessee, Knoxville, and Bloomberg.

How can I contact Roman Paolucci?

You can use AeroLeads to view verified contact signals for Roman Paolucci at Quant Guild, including work email, phone, and LinkedIn data when available.

What schools did Roman Paolucci attend?

Roman Paolucci holds Master Of Science - Ms, Operations Research, 3.83/4.00 from Columbia University.

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