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Harshit Goyal Email & Phone Number
Quantitative Analyst
at
Bank of America
1 work email found
@rutgers.edu
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 86%
Current company
Role
Quantitative Analyst
Location
New York City Metropolitan Area, United States
Company size
Who is Harshit Goyal? Overview
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Quick answer
Harshit Goyal is listed as Quantitative Analyst at Bank of America, a with 232061 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at rutgers.edu and a matched LinkedIn profile for Harshit Goyal.
Harshit Goyal previously worked as Algorithmic Trading Intern at Quantfarming and Quantitative Developer/Trading at John Whitehurst Inc.. Harshit Goyal holds Master Of Science - Ms, Quantitative Finance, 3.5/4.0 from Rutgers Business School.
Company email context
Email format at Bank of America
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{first}.{last}@rutgers.edu
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AeroLeads found 1 current-domain work email signal for Harshit Goyal. Compare company email patterns before reaching out.
Profile bio
About Harshit Goyal
With expertise in Quantitative Finance and a track record in Software Engineering, I specialize in designing and implementing sophisticated systems and modelling frameworks. My experience encompasses the development of trading algorithms, implementation of risk management strategies, and optimization of systems using Python/C++. Let's connect to discuss how my skills can drive results for your team.Email: hg19972704@gmail.comPhone: 551-339-9314
Current workplace
Harshit Goyal's current company
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Bank Of America
8 roles
Harshit Goyal work experience
A career timeline built from the work history available for this profile.
Algorithmic Trading Intern
Improved signal accuracy of an existing trading algorithm by 15% through parameter optimization with GridSearch using Python sklearn library. Implemented advanced risk assessment techniques such as VaR and C-VaR, resulting in a 20% reduction in maximum losses. Validated algorithm robustness using historical data, reducing average loss by 10%.
Oct 2023 - Feb 2024
Quantitative Developer/Trading
John Whitehurst Inc.
Enhanced crypto pair's (BTC-ETH) trading accuracy and risk-adjusted returns utilizing cointegration analysis, Kalman Filter, and Markowitz Mean-Variance Optimization implemented with Python Numpy, Pandas, and SciPy libraries. Achieved a Sharpe ratio (1.3+) and 26% return through backtesting with the backtester Python framework.
May 2023 - Sep 2023
Graduate Teaching Assistant
Assisting Professor with Derivatives, Financial Analysis, Planning, and Forecasting classes.Ensuring submission of quality work within the deadlines.
Feb 2023 - May 2023
Quantitative Research Analyst
Singhal Investments Services Pvt. Ltd.
Improved the options pricing mechanism by implementing Ito's lemma and finite difference methods in Python. Achieved Implied Volatility and Greeks sensitivity scores with an error margin of only 0.01%.Ensured 95% confidence interval using Monte Carlo Simulations over 100K paths by modelling market scenarios based on discretized Heston Model equations.Boosted efficiency and scalability of system by implementing Gradient Descent in Python sklearn lib, reducing computational time by 20%.
Mar 2022 - Jul 2022
Software Engineer
Spearheaded the development of health record filtration algorithms using Java, Clojure, Hadoop Spark, and SQL, pivotal in facilitating successful COVID-19 vaccine distribution across the EU, Americas, and Middle East, benefitting ~10M lives.Orchestrated and oversaw 10+ CI/CD builds and ETL pipelines, guaranteeing 100% SLA adherence and GDPR compliance, while seamlessly migrating 1TB+ healthcare data for 73+ clients from HDFS to AWS S3 using Java and Groovy.
Jul 2019 - Mar 2022
Software Intern
Developed a web-based interface in ReactJS for emergency rooms with a backend powered by a voice-to-text engine. Leveraged Google's speech recognition API and NLP (wink-nlp-utils) libraries for recognition and keyword extraction.
Jan 2019 - Jul 2019
Summer Intern
Developed a detailed data-backed research report regarding the cost-effectiveness of upgrading sports facilities for a profitable public-private partnership by collaborating with a multinational 12-member teamUsed SQL and Tableau to analyze revenue data and optimized capital allocation against the length of work contracts; resulting in the prediction of the break-even point.
May 2018 - Jul 2018
Team & coworkers
Colleagues at Bank of America
Other employees you can reach at bankofamerica.com. View company contacts for 232061 employees →
YW
Yolanda Washington
Colleague at Bank Of AmericaPflugerville, Texas, United States
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AH
Ashley Holmes
Colleague at Bank Of AmericaBradenton, Florida, United States
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BP
Bhavesh Parmar
Colleague at Bank Of AmericaAhmedabad, Gujarat, India
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KP
Kevin Park
Colleague at Bank Of AmericaAlbuquerque, New Mexico, United States
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SM
Sean M. Doherty
Colleague at Bank Of AmericaMiami-Fort Lauderdale Area, United States
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SB
Subha Bakthavatchalam
Colleague at Bank Of AmericaGreater Seattle Area, United States
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ST
Sunil Talla
Colleague at Bank Of AmericaAndhra Pradesh, India
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MY
Mana Yokokawa
Colleague at Bank Of AmericaTokyo, Japan
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VD
Vivian D.
Colleague at Bank Of AmericaMetro Jacksonville, United States
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LN
Lane Newman
Colleague at Bank Of AmericaNew York, United States
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Yolanda Washington
Colleague at Bank Of AmericaPflugerville, Texas, United States
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AH
Ashley Holmes
Colleague at Bank Of AmericaBradenton, Florida, United States
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BP
Bhavesh Parmar
Colleague at Bank Of AmericaAhmedabad, Gujarat, India
View →
KP
Kevin Park
Colleague at Bank Of AmericaAlbuquerque, New Mexico, United States
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SM
Sean M. Doherty
Colleague at Bank Of AmericaMiami-Fort Lauderdale Area, United States
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SB
Subha Bakthavatchalam
Colleague at Bank Of AmericaGreater Seattle Area, United States
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ST
Sunil Talla
Colleague at Bank Of AmericaAndhra Pradesh, India
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MY
Mana Yokokawa
Colleague at Bank Of AmericaTokyo, Japan
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VD
Vivian D.
Colleague at Bank Of AmericaMetro Jacksonville, United States
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LN
Lane Newman
Colleague at Bank Of AmericaNew York, United States
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2 education records
Harshit Goyal education
Master Of Science - Ms, Quantitative Finance, 3.5/4.0
Bachelor Of Technology, Information Technology
FAQ
Frequently asked questions about Harshit Goyal
Quick answers generated from the profile data available on this page.
What company does Harshit Goyal work for?
Harshit Goyal works for Bank of America.
What is Harshit Goyal's role at Bank of America?
Harshit Goyal is listed as Quantitative Analyst at Bank of America.
What is Harshit Goyal's email address?
AeroLeads has found 1 work email signal at @rutgers.edu for Harshit Goyal at Bank of America.
Where is Harshit Goyal based?
Harshit Goyal is based in New York City Metropolitan Area, United States while working with Bank of America.
What companies has Harshit Goyal worked for?
Harshit Goyal has worked for Bank Of America, Quantfarming, John Whitehurst Inc., Rutgers Business School, and Singhal Investments Services Pvt. Ltd..
Who are Harshit Goyal's colleagues at Bank of America?
Harshit Goyal's colleagues at Bank of America include Yolanda Washington, Ashley Holmes, Bhavesh Parmar, Kevin Park, and Sean M. Doherty.
How can I contact Harshit Goyal?
You can use AeroLeads to view verified contact signals for Harshit Goyal at Bank of America, including work email, phone, and LinkedIn data when available.
What schools did Harshit Goyal attend?
Harshit Goyal holds Master Of Science - Ms, Quantitative Finance, 3.5/4.0 from Rutgers Business School.
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