Amogh Aryan

Product Engineer

Ghaziabad, Uttar Pradesh, India2 yrs experience

Highly Stable

Key Highlights

Strong foundation in Quantitative Finance and Applied Mathematics.
Experience in leading quantitative finance projects and initiatives.
Proficient in machine learning and statistical analysis.

Stackforce AI infers this person is a Quantitative Analyst with a focus on Fintech and Data Science.

Contact

Skills

Other Skills

Algorithm DesignApplied MathematicsBloomberg TerminalData StructuresDeep LearningEquity ResearchGreeksMATLABMachine LearningQuantitative FinanceQuantitative ResearchStatisticsStochastic CalculusStochastic Modeling

About

I am pursuing a mathematics major. My areas of interest revolve around Quantitative Finance, Actuarial Science, Applied Mathematics and Data Science(ML/DL). Feel free to ping me regarding any discussions/openings in quant.

Experience

Ar financial securities

Quantitative Trader

Jun 2025 – Aug 2025 · 2 mos

Quant club, bits pilani

2 roles

President

Promoted

Jul 2024 – Jul 2025 · 1 yr

Led the following projects:
Creating probability distribution to match the Option prices data and help in predicting prices.
Led talks and hackathons in quantitative finance in BITS Pilani.
Led a project on crypto arbitrage detection .
Created a sectoral index of NIFTY 500 stocks based on different weight caps.

Researcher

Jun 2023 – Jul 2025 · 2 yrs 1 mo

Worked on implementing the following projects:
Applying Markowitz Portfolio theory on various sectors using moving averages as an indicator.
Monte-Carlo Binomial Pricing Model framing and comparison to Modern Portfolio Theory.

Var capital

Quantitative Analyst

Jun 2024 – Jul 2024 · 1 mo · London, United Kingdom · Remote

Analyzed the event-driven, thematic, and value based trade portfolios of the company for alpha, beta, and Sharpe ratio generated against standard benchmark indexes using statistics, regression, Python, and Bloomberg Terminal.

National atmospheric research laboratory

Project Intern

May 2024 – Jul 2024 · 2 mos · Tirupati, Andhra Pradesh, India · On-site

Built models using ML in Python and MATLAB on fluid turbulence and predicted the behaviour for different values of Reynold's number of the fluid.
Analyzed flux tower data to find the wind turbulence and then performed Empirical Mode Degradation and Hilbert-Huang transform on the data to take out inferences.