Garvil Singhal

Associate Consultant

Mumbai, Maharashtra, India4 yrs 9 mos experience

Highly Stable

Key Highlights

Experienced in equity derivatives and market risk.
Strong background in algorithm development for biomedical applications.
Passionate about fintech and cryptocurrency markets.

Stackforce AI infers this person is a Fintech professional with strong analytical skills in market risk and algorithm development.

Contact

Skills

Core Skills

Market RiskFinancial ServicesAlgorithm DevelopmentImage Processing

Other Skills

Algorithm ImprovementFinancial ModelingMATLABR

About

I am working as a senior associate at BNP Paribas' Global Markets Division in Mumbai. I am a graduate of the Indian Institute of Technology Delhi, with a concentration in Electrical Engineering. As part of my sophomore and junior year summers, I have worked at some of the best research labs in the world, working on cutting edge technology in the fields of biomedical engineering and neuroscience, trying to improve certain aspects of such models. I took to finance in my senior year of undergrad, excited by the equity and crypto markets (1upon0.eth). I have a keen interest in the fintech space and all things crypto. As of now, I am hustling to build a decent foundation for a career in finance.

Experience

Bnp paribas

Senior Associate

May 2025 – Present · 10 mos · Mumbai, Maharashtra, India · On-site

Asia Equity Derivatives desk quant

Market RiskFinancial ServicesFinancial Modeling

Goldman sachs

2 roles

Associate

Jan 2024 – May 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India

Analyst

Jun 2021 – Jan 2024 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Equity market risk strats- stress testing frameworks/FRTB/VaR/Basel III modelling for all equity desks- prime services, structured products and exotics, and systematic trading strategies.

Uc san diego

Research Intern

Jun 2020 – Jul 2020 · 1 mo · San Diego, California, United States

Outlined a hypothesis for Drosophila melanogaster by conducting extensive literature review for existing network models.
Developed the fly olfactory system with associated learning in R; Boosted the algorithm to achieve 20-fold increase in speed.
Proved the network to be unscalable; the performance independent of an increase in computational power of the model.

RAlgorithm Development

Kaust

Research Intern

May 2019 – Jul 2019 · 2 mos · Jeddah, Makkah, Saudi Arabia

Funded research internship under the guidance of Prof. Meriem Laleg, EMAN Group at KAUST. My aim was to use Semi Classical Signal Analysis(SCSA) in the field of MRI imaging and other applications.
Validated the working and improved the existing algorithm for image denoising, specifically working on image segmentation and its effect to the algorithm.
A 30% improvement in the PSNR values was achieved which made the SCSA algorithm in par with other pre-existing denoising algorithms.

Image ProcessingAlgorithm Improvement