Vineel Yellapantula

Product Engineer

Hyderabad, Telangana, India4 yrs 5 mos experience

Key Highlights

5+ years in quantitative research and trading strategies.
Expertise in machine learning and data engineering.
Proven ability to scale research in live trading environments.

Stackforce AI infers this person is a Fintech professional specializing in quantitative research and systematic trading strategies.

Contact

vineelyellapantula@gmail.com LinkedIn

Skills

Core Skills

Research DesignAsset ManagementMachine LearningData AnalysisData Engineering

Other Skills

Big Data AnalyticsC++Deep Reinforcement LearningMatlabMicrosoft ExcelNatural Language ProcessingRR (Programming Language)SQLStochastic CalculusVBA

About

Quantitative Researcher with 5+ years of experience building systematic trading strategies, designing robust backtesting systems, and developing alpha signals using alternative data. Strong background in data engineering, model development, and research across equity markets. Proficient in Python, SQL, and machine learning techniques, with a proven ability to collaborate cross-functionally and scale research processes in live trading environments.

Experience

Alliancebernstein

Quantitative Researcher

Jun 2025 – Present · 9 mos

Invesco us

Research Analyst

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Atlanta, Georgia, United States

Research DesignAsset Management

Panagora asset management

Analyst, Equity Data Science

Jun 2021 – Feb 2022 · 8 mos · Boston, Massachusetts, United States

Ubs

Student - CFEM Fall Project

Aug 2020 – Dec 2020 · 4 mos · New York, United States

Applied Deep Reinforcement Learning to build market-taking and market-making agents on synthetic order book data.
Analyse the interactions between these agents among themselves to understand the behavior of market participants and anomalies.

Ablemarkets

Alternative Data Analyst

Jun 2020 – Aug 2020 · 2 mos · New York, United States

Applied Natural Language Processing (NLP) techniques to transform MD&A sections of web-scraped SEC filings to analyze and quantify the sentiment in these texts.

Natural Language ProcessingData Analysis

Credit suisse

2 roles

Quantitative Analyst

Promoted

Jul 2018 – Jun 2019 · 11 mos · Mumbai Area, India

Market Risk Scenarios Desk:
Built a timeseries database of nearly 700 assets in financial markets to be leveraged for scenario/shock calibration. Built statistical tools using VBA, SQL and R to view the impact of various market risk-off events on said assets.
Collaborated with teams across different asset classes to verify scenario narratives and establish the capital required for the firm during various forward looking scenarios mandated by UK PRA.

VBASQLRData Engineering

Quantitative Risk Analyst

Jan 2018 – Jun 2018 · 5 mos · Mumbai Area, India

Equity and Derivatives Risk Management Desk:
Presented a report on the effect of time to maturity, volatility on various greeks for Barrier Options.
Automated tools to find breached risk limits and improved its user interface enabling the team to work faster on regular reporting needs.

Edelweiss financial services

Quantitative Researcher

Jul 2017 – Dec 2017 · 5 mos · Mumbai Metropolitan Region

Incorporated the methodologies and ideas suggested in various SSRN research papers improving the Sharpe ratio, consistency of returns, for the investment strategies of the Proprietary Trading Desk.
Analyzed the importance of over 20 financial ratios in the performance of a stock and developed a market-neutral strategy based on those fundamental factors for stocks in the National Stock Exchange of India.