Hire the Best Quantitative Finance Freelancers
in India

Data Scientist — everything I build, you can verify the math. ALGO TRADING & PORTFOLIO CONSTRUCTION ─── Current research: Momentum Investing a fully systematic tiered index targeting 33%+ CAGR vs SPY, using point-in-time fundamentals to eliminate look-ahead bias. I build and backtest equities, with live execution and kill switches on Alpaca where needed. Position sizing, risk allocation, rebalancing logic, all of it grounded in the math, not gut feel. Quick example of how I think: a momentum strategy covering 145 stocks was delivering 41% CAGR. Expanding to 245 stocks dropped it to 36%. Counterintuitive. The root cause: New stocks were selected on hot recent momentum, so by entry their cycle was already done. Built a 5-filter Monte Carlo system, tested 700+ parameter combinations, to identify which satellites are early-cycle vs peaked. Result: 43%+ CAGR with lower drawdown than the 145-only baseline. The problem wasn't the strategy. It was the timing of entry. This is where I spend most of my time. Systematic backtests, portfolio construction, Monte Carlo optimization. No black boxes, no ML hype — every output can be checked in a spreadsheet. Another example: I built a live MBS (Mortgage-Backed Securities) forecasting and trading system for a fund client, covering 265+ cohort securities across weekly, monthly, and quarterly return horizons. The interesting part wasn't the ML, it was the feature design. Standard technical indicators on bond prices are noise. What actually drives MBS price movements is duration, convexity, prepayment rates, regime variables like curve steepness, VIX, and Fed MBS holdings. Every feature built from first principles, nothing borrowed from a vendor that can't be verified. That's the level I operate at on both equities and fixed income. Not "add more data." Find the actual structure driving returns, and build features that reflect it. Tools: Python, Pandas, Alpaca, Alpha Vantage, systematic backtesting vectorbtpro, Monte Carlo simulation, portfolio construction, Machine Learning DATA SCIENCE & ANALYTICS ─── I've worked across real estate, e-commerce, and financial analytics, usually called in when a team has data but no clear answer yet. I focus on getting to a decision you can act on, not a 40-slide deck. Results worth mentioning: ML automation cut a client's data processing from 286 days to 1 day, after they'd run the same manual process for two years without realizing it was automatable Ad spend attribution model that improved campaign ROI by 25% Tools: Python, SQL, Scikit-learn, Excel, Power BI, Pandas WHAT MAKES ME DIFFERENT ─── ▸ I show my work. Every model, every backtest, every number comes with the method behind it, so you're never trusting a black box ▸ I'd rather tell you a strategy doesn't hold up than build you something that looks good and fails live ▸ I scope real problems fast: send me what you're working with and I'll tell you within 24 hours if and how I can help If you want someone to validate that your strategy is great, I'm not the right fit. If you want to know exactly why it works, or why it doesn't, let's talk.

💎TOP RATED UPWORK FREELANCER I’m an experienced content writer and SEO Specialist with a proven track record of improving website visibility and driving organic traffic. I help businesses grow by boosting their search engine rankings and optimizing their websites for better performance. With hands-on expertise in both on-page and off-page SEO, I focus on strategies that increase web traffic and deliver real results in the digital space. Services I Offer: - Keyword Research & Analysis: Identifying high-impact keywords that drive qualified traffic to your website. - On-Page SEO: Optimizing meta tags, headings, content, and internal linking to enhance page ranking and user experience. - Off-Page SEO: Building quality backlinks and promoting your website across authoritative platforms to increase domain authority. - Technical SEO: Improving website speed, mobile responsiveness, and overall site architecture for optimal search engine crawling and indexing. - Content Optimization: Crafting SEO-friendly content and guiding content strategies to align with search engine requirements. - SEO Audits: Conducting comprehensive SEO audits to identify issues and areas of improvement, followed by actionable solutions. - Competitor Analysis: Analyzing competitors' strategies and performance to develop effective SEO tactics. Why Choose Me? - Proven track record of increasing organic search rankings and traffic. - Expertise in Google Analytics, Google Search Console, SEMrush, Ahrefs, and other SEO tools. - Up-to-date with the latest SEO trends and search engine algorithm changes. - Data-driven approach with a focus on delivering measurable results. - Timely and effective communication with clients to ensure their needs are met. ⚡ I am committed to delivering high-quality work on time, and I take pride in my ability to build strong relationships with my clients. Whether you are looking for a compelling copy for your website, blog, or marketing materials, I am confident that I have the skills and expertise to help you achieve your goals. Feel free to reach out with any questions😃- hope to speak soon!

💎 Top Rated Plus | 🚀 100% Job Success Score 💪 12+ Years of Experience| 🎯 550+ Successful Projects | 💼 Upwork Skill Certified "My deliverable is not the product/service but your satisfaction with it" Bringing cutting-edge AI and algorithmic trading strategies to life, I am your go-to expert for innovative tech solutions. From GPT-4 and ChatGPT applications to advanced quantitative analysis including Algorithmic Trading and Data Science, reach out to me for unparalleled project advice. With a knack for developing sophisticated algorithms and creating fully automated apps, I specialize in transforming complex problems into elegant, efficient system. My expertise includes: - Creation of robust Algorithmic Trading Systems with seamless broker (Interactive Brokers, Zerodha, MT5, Alpaca and any other) integration - Mastery in AI chatbot development with GPT-4, ChatGPT, and other large language models - Comprehensive model development for Machine Learning and Deep Learning - Streamlined order execution via Telegram and advanced QuantConnect algorithms - In-depth experience with financial modeling and quantitative derivatives valuation

We're a team of mathematicians, statisticians, algo-traders and full-stack developers at Insight Fusion Analytics. We build two things well: business intelligence that actually gets used, and trading systems where real money is on the line. 100+ projects completed • 100% Job Success • Top Rated Plus DATA ANALYTICS & BI ─── We've done this across healthcare, insurance, real estate, e-commerce, and operations. Dashboards, automated reporting, competitor analysis, pricing studies, predictive models, data scraping, A/B testing, and research reports. What most statisticians do? Explain their methods. Time series this, Markov chains that, custom probability distributions. What the client thinks? Just tell me what my pricing should be and how to manage my inventory. We skip the lecture and give you the answer. If you're curious about the method, happy to walk through it on a call. Projects worth mentioning: • Lightning detection efficiency analysis for Boltek and ISRO (Boltek's storm tracking systems are deployed by the US Army and Toronto's CN Tower) • Sentiment analysis and review correlation for J Turner Research, the US multifamily industry's leading reputation analytics firm (148,000+ properties tracked) • Booking calendar optimisation for ServiceMarket, Dubai's largest home services marketplace (acquired by Etisalat for $22M) • Pricing and inventory analysis for Triton's Amazon launch Tools: Python, SQL, R, Pandas, NumPy, Scikit-learn, Excel, BigQuery ALGO TRADING & QUANT SYSTEMS ─── This is where we started and it's still what we do best. We're statisticians first, no machine learning hoax. Every output can be verified in Excel. Our USP is pattern recognition. Quick example: say you have a strategy — buy when RSI drops below 30, sell when RSI crosses above 70. Average profit per trade: -4%. Looks bad. But our tools will tell you: run that same strategy only in December, avg becomes +3%, and it covers 12% of all trades. Or between 1pm and 2pm when EMA is hugging, avg is +7% for 21% of trades. We test over a million combinations per strategy before suggesting patterns. (sorry for bringing up pattern recognition again and again, we can't stop talking about it) 70+ trading bots • 60+ backtesting frameworks • 20+ live screener bots We backtest equities, derivatives, and full portfolios. Live execution with kill switches on IBKR, Fyers, Zerodha, NinjaTrader, TradingView, QuantConnect. We've done HFT before but we'll be honest, there are better players than us on Upwork for that. Our USP is the math. Markets: US equities, Indian equities and F&O, Forex, Crypto AI AGENTS & AUTOMATION ─── We build AI agents that do actual work. Not chatbots that answer FAQs. Multi-step workflows where an agent ingests data, makes decisions, takes actions, and reports back. Document extraction pipelines that pull structured data from messy PDFs and emails. Trading signal processors that chain multiple APIs together and fire alerts in seconds. Review response systems that classify sentiment and route to the right person. Every agent ships with error handling, logging, and a kill switch. We're data engineers who added AI to our stack, so the plumbing is solid. Tools: PydanticAI, LangGraph, Claude API, n8n, Make, FastAPI, MCP SPORTS & PREDICTION MARKETS ─── Our favourite. We spend serious time engineering mathematical features with domain experts. Every bit is explainable using formulas. The secret is in the features engineered, not the strategy. All over Upwork we see ML models whose numbers can't be explained. ML applied from the start only raises irrational hopes and takes 6 months to a year before you realise the model isn't a fit. We believe good analysts produce a statistical model that works first, then layer ML on top if it actually improves things. Prediction systems for UFC, soccer, cricket. Edge detection on Polymarket, Kalshi, and similar markets. Full pipeline from data to predictions to signals. WORK WITH US ─── ▸ 30-min consultation ($100) to see if it's a fit, reimbursed in full if we work together ▸ Share your project, we scope it in 24 hours ▸ AI automation audit ($350), we map what can be replaced 7 out of 7 paid consultations have turned into long-term projects. When both sides have skin in the game the conversation is just better. Before reaching out, check out our past work. It helps us all figure out if we're aligned. We're not the cheapest option and we know it. We want you convinced before getting into a long contract. If it fits, let's talk. Make us do the Math.

SEBI Registered Research Analyst-INH000019275 Expert in: -Quantitative research in equity, derivatives markets. -Development and backtesting of financial models. -Optimization and deployment of financial models. - Pinescript building and testing of indicators, strategies. - API Integration and API development with IBKR, Indian brokers like Zerodha, Dhan, Fyers -Financial advisory and planning. Python, TradingView, IBKR, Pinescript, Automation of trading models, Quantconnect Holds a Bachelors in Information Technology and Master's in MBA with Finance majors. Masters in Financial Engineering from World Quant University. Focused on best in hand solutions to the given financial problem statement.

I help traders, hedge funds, and startups build profitable trading bots, quantitative models, and AI-powered automation systems using Python and modern AI/LLM technologies. I’m a Quant Developer and Quantitative Analyst with 3+ years of hands-on experience in derivatives, algorithmic trading, statistical modeling, and AI-driven financial systems. I’ve delivered production-ready trading bots, backtesting engines, and automation tools — with $10,000+ earnings and 100% Job Success on Upwork. My expertise combines quantitative finance, Python development, and AI/LLM integration to build robust systems that perform reliably in live markets. 🚀 What I Can Build for You • Algorithmic trading bots (stocks, options, crypto, forex) • Backtesting engines with performance analytics and risk metrics • AI-powered trading tools using LLMs and machine learning • Trading automation tools with broker and market data API integration • Quantitative models for alpha generation and portfolio optimization • Trade execution systems and automation dashboards • Financial data pipelines and research tools 💼 Technologies & Tools Programming & Quant: Python (Pandas, NumPy, scikit-learn, backtrader), statistical modeling, quantitative research Trading Platforms: MetaTrader 5 (MQL5), TradeStation, MultiCharts, broker API integrations AI & Automation: LLM integration, AI automation systems, data analysis, workflow automation Data & APIs: Financial data APIs, live market feeds, execution APIs, custom integrations 📊 Proven Experience Includes • Building live trading bots with full automation • Developing backtesting systems with historical and live data • Creating automation tools that reduce manual trading workload • Quantitative research and alpha strategy development • Integrating broker APIs and real-time data systems ✅ What You Can Expect • Production-quality, clean, and scalable code • Strong quantitative and technical expertise • Reliable communication and fast delivery • Focus on performance, risk management, and real-world deployment If you're looking for a serious Quant Developer who understands both trading and technology, I can help you build reliable and scalable trading and automation systems. Available for long-term and high-value projects.