Hire the Best Quantitative Finance Freelancers
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**Quant Trading Engineer | Backtesting, Automation, Research, Hedging** I build institutional-grade backtests, strategy validation and trade tooling across US equities, options, derivatives and crypto. Expect clean assumptions, reproducible runs, and clear diagnostics (PnL decomposition, robustness checks, and failure modes) that I will be able to translate trade automation. What I do: • Backtesting & Strategy Validation: Rules-based strategies, scenario testing, overfit conscious optimization, and robustness/OOS checks. I focus on bias-aware implementation and interpretable results. • Hedging & Risk Overlays: Delta hedges, band/regime-based hedging policies, funding/carry modeling, and PnL decomposition (what comes from fees vs hedge vs carry vs costs). • Trading Data Pipelines: ETL workflows, time-series cleaning, automated storage, and reproducible datasets. Integrations with data sources and formats your workflow requires. • Automation & API Work: Automating analysis, integrating necessary APIs, building scheduled jobs, and removing repetitive manual work. Supporting broader automation tasks to reduce manual work. Tools & Skills Python • Pandas • NumPy • Time-Series Data • ETL • SQL • API Integration • Automation • Performance Stats My background I have a degree in Mechanical Engineering. 3 years software development, and data analysis work focused on Python-based market analytics, ETL pipelines, and time-series research. 7+ years trading and building systems for small funds, prop traders and personal use. How I work: - Clear communication - Clean, reproducible code - Fast turnaround - Transparent assumptions and limitations - Respect for your idea, IP, and confidentiality If you have a strategy idea, data project, or automation you want built or tested, I can help. Feel free to send me a message! I’ll take a look at your project and let you know what’s possible.

I am a full time freelancer, write articles, blogs, research reports, and also take up administrative work. I have been in the financial space for over ten years now and have earned my MBA degree from Symbiosis Centre of Distance Learning in 2009. But, my passion for finance led me to pursue Chartered Financial Analyst (CFA) course from US University. I have successfully completed Level III of CFA. I have worked on financial reports, blogs, forex, cryptocurrencies, and hedge funds. Have frequently written on niche like personal finance, technology, breaking news, and entertainment can write on any niche. I am good at reading filings of hedge funds and companies. I am also good at wordpress, trello, jira and other work portals.

I am a highly creative data scientist / quantitative finance analyst / algorithmic trading developer with a solid background in engineering, mathematics, statistics, machine learning, data and signal processing, physics and technology development. I have expertise in backtesting and strategy development with BackTrader, QuantConnect and Trade Ideas. I program fully automated and robust stocks, ETF, Forex, options, cryptocurrencies and futures trading strategies. I can help you develop or code your custom trading bot, algorithm/robot in Python with execution through the Interactive Brokers IB TWS API. I can deploy an algorithm developed and backtested on QuantConnect to the following brokerages: Interactive Brokers, TD Ameritrade, Tradier, Trading Technologies, Bloomberg, Oanda, Zerodha, Binance, Coinbase, Kraken and Bitfinex. I can develop and backtest option trading strategies on OptionAlpha and OptionOmega. If you need to analyze or gather market data, I have experience with several data provider's API and can customize and automate your analysis with Python scripts, Google Sheet and Excel. I can also create custom scripts and indicators in TradingView as well as sending and trading alerts through Webhooks. I have good communication skills plus acute attention to detail, and strong self-motivation. I look forward to working with you!

I am an analyst at CDPQ, one of the largest institutional fund managers in Canada. I apply my skills in data analysis, finance, and data visualization to support the analytics team in the fund investment and external management department. - Master's degree in financial engineering from Université Laval, where I also worked as a research assistant. - Over four years of work experience in various sectors and industries, developing core competencies in financial modeling, risk management, pricing, and reporting. - Fluent in SQL, Python, Power BI, Tableau and Excel. I look forward to helping you reach your goals.

💡 Connecting Math, AI, and Quantum Tech to Create Solutions That Make a Difference 🔹 AI, Machine Learning, Deep Learning and Quantum Machine Learning for innovative solutions and predictive analytics 💻 🔹 Financial Modeling, Quantitative Finance and Optimization Modeling to drive trading and investment success 📈 🔹 Mathematical Optimization, Probability Theory, Cryptography and Statistics for precise, results-oriented analysis 🧮 I also offer Emerging Tech Consultation helping organizations harness AI, Quantum Computing and Machine Learning to drive innovation and achieve impactful results.

I’m Jeel Kathiriya, a skilled developer specializing in building algorithmic trading solutions tailored to the needs of clients across the financial industry. With hands-on experience in creating and optimizing trading systems, I’ve helped organizations and individuals streamline their trading operations and improve their performance. During my time working in the financial technology sector, I gained extensive experience in developing algorithmic trading systems, backtesting strategies, data management, and execution algorithms. My technical expertise and commitment to delivering results make me a reliable partner for your trading development needs. Services I Offer Algorithmic Trading System Development: Create robust systems for assets like equities, futures, options, crypto, and forex. Automation and Backtesting: Implement automated workflows and validate strategies with backtesting tools. Strategy Evaluation and Optimization: Enhance strategies to improve profitability while avoiding common pitfalls like overfitting. Custom Indicators and Market Scanners: Develop personalized indicators, signal services, and automated market scanners with real-time alerts. Execution and Portfolio Optimization: Build execution algorithms and optimize portfolio performance using advanced modeling techniques. Trading Algorithm Efficiency: Optimize trading systems to process large data streams efficiently with minimal hardware usage. Technologies and Tools Programming Languages & Libraries: Python (pandas, numpy, numba, scikit-learn, matplotlib, seaborn, and more). Trading Platforms: QuantConnect / LEAN, MT5, TradingView, Rithmic, CQG, IBKR, 5paisa, Zerodha, Binance, and others. Development Tools: Git and GitHub for version control and collaboration. Supported Brokers: Interactive Brokers (IB), Tradier, Binance, and more. What Sets Me Apart I deliver clear, modular, and well-documented code designed for scalability and ease of maintenance. My solutions are crafted with a framework approach, ensuring flexibility for future enhancements and seamless integration into your existing systems. Having worked in the financial technology domain for over 1.5 years, I’ve successfully completed numerous projects, including creating trading systems, backtesting frameworks, and portfolio optimization models. I’m deeply committed to ensuring that your trading solutions meet the highest standards of reliability and performance. Let’s Collaborate Whether you’re looking to automate your trading strategies, build a customized algorithm, or optimize your portfolio management processes, I’m here to help. I’m open to signing NDAs to ensure your intellectual property remains secure. Let’s work together to build the trading solution that takes your operations to the next level. Feel free to reach out for a consultation!