Siddharth Dixit

Product Manager

New Delhi, Delhi, India3 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in algorithmic trading and quantitative analytics.
Strong programming skills in C++ and Python.
Proven track record in developing trading strategies.

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

Contact

Skills

Core Skills

Algorithmic TradingQuantitative AnalyticsMachine LearningC++Market-makingData Analysis

Other Skills

.NETArtificial Intelligence (AI)C#Cascading Style Sheets (CSS)Data CollectionData ScienceData StructuresData VisualizationDeep LearningDerivativesEconometricsEconomicsFinancial MarketsFinancial ModelingGit

About

As a highly motivated Quantitative Researcher with a robust background in C++ programming, I am dedicated to mastering the intricacies of financial markets. My career is driven by a passion for leveraging strong programming skills to develop innovative models and techniques that analyze data from a risk perspective. My expertise lies in combining deep technical knowledge with a keen interest in financial markets to deliver impactful solutions. I am committed to continuous learning and staying abreast of the latest industry developments to enhance my contributions to the field.

Experience

Bitqcode capital

2 roles

Senior Quant Developer

Promoted

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

work across the full strategy lifecycle—acquiring market data, converting trading hypotheses into quantitative models, back/front testing them rigorously, and deploying them into live trading systems with efficient execution and and real-time performance monitoring. Projects span a diverse range of global asset classes, encompassing equities, fixed income, commodities, foreign exchange, and cryptocurrencies.

Algorithmic TradingQuantitative AnalyticsFinancial MarketsData AnalysisC++Machine Learning

Quant Developer (Crypto)

Feb 2025 – Apr 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Working as a Quant Developer at a crypto hedge fund, deploying strategies in spot and perpetual futures markets, building trading bots, and leveraging machine learning to enhance performance and generate alpha.
Develop and deploy algorithmic trading strategies for cryptocurrencies, focusing on spot and perpetual futures markets.
Design and implement trading bots for automated execution and risk management.
Utilize machine learning models to enhance trading strategies, improve signal generation, and mitigate lookahead bias.
Train and optimize ML models to adapt to changing market conditions and maximize alpha.
Research and integrate the latest advancements in quantitative finance and technology to maintain a competitive edge.
Collaborate with engineers and traders to refine execution, optimize infrastructure, and ensure high-performance trading systems.

Algorithmic TradingMachine LearningTrading BotsRisk Management

Alpha six capital

Quant Developer (C++/Python)

May 2024 – Feb 2025 · 9 mos · Gurugram, Haryana, India · On-site

Worked as a Quant Developer at a proprietary trading firm specializing in Indian markets, focusing on futures and options (F&O) trading.
I specialize in modeling financial data using Python and developing high-performance, low-latency code in C++. My role encompasses the following key responsibilities:-
Market-Making and Strategy Development : Coding and deploying Market-Making, HFT, and Options Strategies (including straddles, strangles, and spreads) with a focus on short holding periods for live market testing to evaluate performance under real-time conditions. Conducting in-depth analysis of execution slippage and optimizing execution quality for improved strategy performance.
Software Development : Designed and developed standalone, end-to-end software tools (C++/Python) for trading teams, enabling real-time trading signal generation and both post-market and live market analysis.
Data Collection and Infrastructure Optimization : Engineered multi-socket C++ applications for tick-by-tick data collection from the national stock exchange, while maintaining and optimizing in-house trading infrastructure.
Trading Efficiency Enhancements : Created GUI modules and plugins in our in-house trading software as per trading team requirements, delivering solutions under tight deadlines to enhance trading efficiency.
Collaboration and Continuous Improvement : Provided technical support and insights to enhance overall trading performance. Continuously improved existing models, strategies, and codebases to maintain a competitive edge in the financial markets. Stayed updated with the latest developments in quantitative finance, data science, and software engineering.

C++PythonMarket-MakingHigh-Frequency TradingData Collection

Ineuron.ai

Jr. Data Science intern

Nov 2023 – Jan 2024 · 2 mos · · Remote

Collaborated with a talented team to gain hands-on experience in data analysis, visualization, and machine learning support.
Key Achievements:
Conducted data collection, cleaning, and preprocessing activities, laying the foundation for insightful analysis.
Worked closely with senior data scientists to develop impactful visualizations that effectively communicated complex insights to diverse stakeholders.
Assisted in the implementation and testing of machine learning models, contributing to model evaluation and refinement processes.
Actively participated in cross-functional projects, collaborating with different departments to leverage data for strategic business insights.
Maintained clear and concise documentation of data sources, methodologies, and results, ensuring transparency and knowledge sharing within the team.
Engaged in continuous learning through training sessions, workshops, and self-directed study to enhance data science skills.
Skills Developed:
Data Analysis
Data Visualization
Machine Learning Implementation
Cross-functional Collaboration
Documentation and Record Keeping
Continuous Learning and Development