Hire the Best Quantitative Finance Freelancers
in India

💎 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

Algorithmic Trading Developer specializing in building end-to-end trading systems, backtesting and optimization frameworks, and predictive machine learning models for financial markets. With over 3 years of experience collaborating with HNIs, hedge funds, and retail traders, I help clients automate, validate, and deploy profitable trading strategies across cryptocurrency, forex, and stock markets. My expertise spans technical analysis, quantitative research, and ML-driven strategies, along with developing custom screeners, dashboards, Python-based trading bots, low-latency execution systems, and robust Risk Management (RMS) infrastructure. I also provide statistical validation of trading strategies to ensure they are backed by data rather than assumptions. Whether you're implementing an idea from a research paper, translating a technical trading concept into code, or building a production-ready algorithmic trading system, I can help you develop, test, optimize, and deploy it with a scalable and reliable architecture. Programming Languages - Python - C++ - SQL Python Frameworks - Pandas - Numpy - Sci-kit - TensorFlow - Seaborn - Matplotlib - Streamlit - Plotly-dash Backtesting Frameworks - Backtrader - VectorBT - Backtesting-py - Custom backtesting engine Platform & Tools - Linux - Windows - Git - Github - Docker Databases - PostgreSQL (Timescale-db) - SQLite - Redis - Parquet/DuckDB ML for Financial Markets - Time-Series modeling - Classification & Regression - XGBoost, LightBoost Broker/Exchanges (not limited to) - Interactive Broker - Thinkorswim - Robinhood - Tradier - Alpaca - Charles Schwab - Binance - Coinbase - Bybit - OKX - Kraken - Crypto Read-only proficiency - Pine Script (Tradingview) - C# - MQL5 (Metatrader) - ThinkScript (Thinkorswim) Important Note - I do not sell pre-made bots or strategies. - Every system is custom-built based on your unique requirements and trading logic. If you're looking for a reliable algorithmic trading developer to turn your trading ideas into robust, production-ready systems feel free to send a 'message' or 'invite' me to your project.

Algorithmic trading systems, quant research and backtesting where real money is on the line. 70+ trading bots shipped. 1M+ parameter combinations tested per strategy. We're a team of mathematicians, statisticians, algo-traders and full-stack developers at Insight Fusion Analytics. 100+ projects completed • 100% Job Success • Top Rated Plus 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 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 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.

DATA SCIENTIST — everything I build, you can verify the math. I deliver transparent, auditable data models where every number can be checked. Specializing in quantitative research, statistical modeling, Data insights and automation. QUANTITATIVE RESEARCH & PORTFOLIO CONSTRUCTION : 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. 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. 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. Not "add more data." Find the actual structure driving returns, and build features that reflect it. 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% WHAT MAKES ME DIFFERENT ▸ I show my work. Every model, every analysis, 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 in real world. ▸ 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

Machine Learning Engineer specializing in quantitative finance with proven track record in algorithmic trading systems and financial forecasting. Ranked #1 out of 18,166 professional data scientists in a time series forecasting Kaggle competition. Former VP at Citi Bank with 7+ years building production ML systems. Most of all, I adore logical problem solving! I'm also a former competitive chess player (rated 2073 ECF) . Available for: ML model deployment, data pipeline architecture, Strategy development, backtesting systems, quantitative research, financial dashboards, data analytics. Core Expertise 📊 Quantitative Finance & Trading End-to-end algo trading pipelines: Strategy development → Backtesting → Live deployment Trading platforms: Interactive Brokers API, TradingView, QuantConnect, MetaTrader (MQL4/5), cTrader Risk modeling: Options pricing (Black-Scholes, Monte Carlo), volatility modeling (GVAR, GARCH) Market data engineering: Massive (Polygon) AWS S3, real-time feeds, historical data pipelines 🤖 Machine Learning & AI Time series forecasting: ARIMA, LSTM, GRU for financial markets ML algorithms: XGBoost, LightGBM, Random Forests, Neural Networks Deep learning: CNNs for pattern recognition, RNNs for sequence prediction Natural Language Processing: Sequence-to-Sequence Encoder-Decoder Transformer Models with Attention Feature engineering: Target encodings, geospatial analysis, text vectorization 💻 Technical Implementation Languages: Python, Scala, SQL, R, C++, Java, Spark ML/DL frameworks: PyTorch, TensorFlow, scikit-learn, JAX Data engineering: PostgreSQL, AWS S3, REST APIs, real-time streaming Deployment: FastAPI, Flask, Streamlit dashboards, Docker Notable Achievements Kaggle Competition Winner: 1st place (out of 18,166) in 1C Future Sales Prediction Live Trading Success: Deployed strategy which achieved 25% CAGR at a prop trading firm for 3 years Enterprise Scale: Built forecasting models for 60+ countries at Citi Bank Academic Excellence: MS Computer Science (ML) Georgia Tech (GPA 3.9), MS Quantitative Finance (GPA 3.7) Certifications: CFA Level 2, FRM Level 1 Recent Projects 1. Building Custome Backtesting Engine in Python, Strategies & Indicators in MT5, MQL, NT8 2. Volatility clustering using Dynamic Time Warping for casino game crash prediction 3. Options chain visualization & credit spread calculator with Polygon data feeds 4. Yield curve forecasting model (PCA-based) outperforming legacy systems 5. Neural machine translation using Transformers with attention mechanisms How I Work I focus on delivering robust, scalable solutions that solve real business problems. Whether you need a complete trading system, risk model optimization, or ML-powered financial analysis, I bring both academic rigor and practical experience to ensure successful outcomes. I am especially passionate about data engineering - building robust, scalable and efficient data architectures.

💎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!