Rohit Gaikwad

Business Analyst

Pune, Maharashtra, India1 yr 8 mos experience

Key Highlights

Expert in quantitative finance and statistical modeling.
Proven track record in high-frequency trading development.
Strong automation skills leading to significant time savings.

Stackforce AI infers this person is a Fintech Quantitative Analyst with strong statistical and programming skills.

Contact

Skills

Core Skills

Quantitative FinanceStatistical Modeling

Other Skills

BacktestingC++Convolutional Neural Networks (CNN)Data AnalysisData structures & AlgorithmsDeep LearningMachine LearningMathematics & ProbabilityMatplotlibMicrosoft ExcelNumPyObject-Oriented Programming (OOP)PandasPricing ModelsPrincipal Component Analysis

About

Quantitative Analyst with Expertise in High-Frequency Trading and Financial Modeling to trade financial derivatives. Love applying the infinite ideas of Data Statistics and mathematics to modern world problems.

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

11 mos

Current Experience

Narcotics control bureau, india

Jr. Intelligence Officer

Jul 2025 – Present · 11 mos

Dolat capital

Quantitative Analyst

Sep 2023 – Jun 2024 · 9 mos · Mumbai, Maharashtra, India · On-site

Conducted comprehensive Data Analysis utilizing advanced statistical methods, including Time Contiguous Clustering, to identify trends and patterns in financial market data.
Implemented automation solutions using Python to streamline data collection and preprocessing tasks, resulting in a remarkable 75 % reduction in processing time.
Developed a high-frequency trading indicator using C++ based on an options order book, leveraging statistical techniques.
Conducted rigorous Backtesting on tick-by-tick data of Indian Equity Options Market Making algorithms, leveraging 1 year of market data to identify key PNL drivers and evaluate performance across various market conditions.
Played a key role in enhancing Risk Management Frameworks by contributing to the development and optimization of Pricing Models for complex financial instruments.
Developed option trading signals based on synthetic forward models while minimizing Delta and Vega Risk Exposure, optimizing risk-return profiles associated with trading strategies.

Data AnalysisStatistical MethodsPythonC++BacktestingRisk Management+4