Aadhunik Sharma

Product Manager

Winchester, Kentucky, United States6 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing advanced quantitative trading systems.
Proficient in machine learning for trading optimization.
Strong background in financial engineering and algorithmic trading.

Stackforce AI infers this person is a Fintech professional specializing in quantitative trading and machine learning solutions.

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Skills

Core Skills

Quantitative TradingMachine LearningData VisualizationAlgorithmic TradingRisk Management

Other Skills

Anomaly DetectionBacktestingBeta-neutral Trading StrategiesC#C++Data ScienceDatabase Management System (DBMS)InfluxDBMQL4MT5MetaTraderMongoDBMt4Ninja TraderPerformance Optimization

About

At Quan Algorithms, contributed to the design and development of advanced quantitative trading systems, leveraging expertise in Python, C#, and C++. Integrated machine learning techniques to implement anomaly detection strategies and optimize trading performance across Forex, Futures, Options, and Cryptocurrency markets. Developed real-time dashboards using Plotly and InfluxDB, enabling data-driven decision-making. Holds an M.Sc. in Financial Engineering from WorldQuant University and a B.Tech. in Computer Science from Sant Longowal Institute of Engineering & Technology. Core competencies include quantitative research, machine learning, and algorithmic trading. Committed to delivering innovative solutions that enhance trading efficiency and client satisfaction. Check out my projects and portfolio at http://aadhuniksharma.github.io

Experience

Quan algorithms

Quantitative Developer

May 2020 – Present · 5 yrs 10 mos · India

Developed and managed advanced quant trading systems, focusing on innovative trading technologies and strategy implementation using Python, C#, and C++. Designed anomaly detection strategies leveraging machine learning to identify irregular trading patterns. Earned recognition for delivering successful solutions and achieving high client satisfaction. Integrated machine learning techniques to optimize trading performance across multiple markets, including Forex, Futures, Options, and Cryptocurrency. Utilized C++ for low-latency computations and C# for building robust trading applications. Integrated visual dashboards using Plotly, Bokeh, and InfluxDB to present insights, enabling real-time decision-making.

PythonC#C++Machine LearningAnomaly DetectionQuantitative Trading+3

Curl analytics

Algo Trading Strategist

Nov 2019 – May 2020 · 6 mos · Mumbai Metropolitan Region

Developed intraday and short-term beta-neutral trading strategies for index options, leveraging Python to exploit
theta decay. The role involved backtesting strategies, refining risk management techniques, and optimizing
performance through iterative model adjustments. Strategies included calendar spreads between futures and selling
option straddles with time-based factors to capitalize on volatility and time decay dynamics.

PythonBeta-neutral Trading StrategiesBacktestingRisk ManagementPerformance OptimizationAlgorithmic Trading