Hire the Best Quantitative Finance Freelancers
in the United States

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria

Financial markets analyst and trading educator with experience across options markets, volatility analysis, live market instruction, and financial media content. I specialize in translating complex market behavior into clear, actionable insights for retail traders, fintech platforms, and financial audiences. My background combines real time market analysis, derivatives education, client engagement, and financial writing across fast moving market environments. Alongside over 2,400 hours of live market instruction and trader development, I also contribute written market commentary and analysis focused on equities, options activity, macro themes, sentiment shifts, and volatility behavior. My experience includes: • Options market analysis and derivatives education • Volatility and market structure interpretation • Financial content creation and market commentary • Live chart analysis and market walkthroughs • TradingView and technical analysis workflows • Risk management and position sizing education • Client onboarding and trader support environments • Live virtual instruction and interactive learning sessions I work with: • Financial media and content platforms • Financial audiences seeking structured market education • Educational and research focused market teams • Traders seeking structured market understanding • Businesses needing market commentary or financial content support My approach prioritizes clarity, structured thinking, risk awareness, and practical communication over prediction driven content or hype. Disclaimer: I provide financial education and market commentary only and do not provide personalized investment advice.

I am an experienced quantitative financial researcher with 15+ years of experience in the field. Before that, I used to be a Physicist in academia, where I had a passion for cosmology (my PhD thesis was in this) and Quantum Physics (I currently run a blog on Linkedin on this). As part of this background, I can contribute to gigs that involve any of the following, but not limited to it: • Data analysis (optimization, clustering, especially dealing with very noisy data, applying any mathematical model on data) • Machine Learning (random forests, adversarial networks, recurrent networks, ....) • Proficient in C, Python, C#, but you can definitely catch my interest if you have a problem involving the Wolfram Language • Passionate about Quantum Physics, so I would definitely enjoy projects that require working in theoretical Quantum Physics. • I can do projects that involve Mathematics (Chaos Theory, Dynamical Systems, Real Analysis). • Last, but not least, I have experience in the full cycle of generating systematic strategies from prototyping to implementing into production all the way to monitoring the execution.

Hi! Upwork uses my first name, Royce, but I go by Aaron (my middle name). I am a Chartered Market Technician (CMT) charterholder with over a decade of experience in systematic trading, algorithmic strategy development, and quantitative finance. My expertise lies in building, backtesting, and optimizing algorithmic trading systems, applying advanced technical analysis techniques to enhance performance across asset classes. With a background in engineering and financial markets since 2008, I bring a structured, data-driven approach to strategy development, risk management, and market analysis. I have collaborated with investment advisors, hedge funds, CTAs, portfolio managers, and professional traders to develop cutting-edge algorithmic solutions. What I Offer ✔ Quantitative Strategy Development – Designing, coding, and optimizing systematic trading strategies in Python, TradeStation EasyLanguage, QuantConnect, and TradingView Pine Script. ✔ Backtesting & Performance Analysis – Conducting rigorous historical testing, Monte Carlo simulations, and statistical evaluations to validate trading models. ✔ Technical Analysis & Market Research – Applying CMT-recommended methodologies, including trend analysis, mean reversion, momentum studies, volatility modeling, and intermarket relationships. ✔ Algorithmic Trading Automation – Implementing fully automated execution systems, integrating with Interactive Brokers API, TradeStation, and other trading platforms. ✔ Portfolio & Risk Management – Developing quantitative models for asset allocation, volatility-adjusted position sizing, and multi-strategy diversification. My Edge ✅ Certified CMT Charterholder – Recognized expertise in professional technical analysis and market behavior. ✅ Deep Trading Knowledge – Over 10 years of real-world experience developing and executing systematic strategies in equities, options, and futures. ✅ Skilled Programmer – Writing clean, well-documented, and scalable code for robust algorithmic trading solutions. ✅ Industry Recognition – Featured QuantConnect Recommended Consultant, trusted by financial professionals managing $150M+ AUM. I thrive on solving complex trading problems and helping clients develop strategies that are both profitable and robust. If you're looking for a high-level quant developer with deep market expertise, let’s connect!

Experienced financial writer and market analyst with a deep background in global markets, equities, and derivatives. My work draws on more than 10 years of experience as a professional options/volatility trader, along with more than 20 years trading equities. That background includes expertise in strategy development, automated execution, fundamental research, and risk management, allowing me to translate complex financial concepts into clear, actionable insights for a broad audience—from active day traders to longer-term investors.

I design and implement AI-powered systems, trading automation, and data infrastructure that drive measurable operational and financial outcomes. My work sits at the intersection of: - Machine Learning & LLM Evaluation - Quantitative Trading Systems (NinjaTrader, TradingView, IBKR) - Automation & API Integrations - Data Infrastructure & Analytics Engineering Recent focus areas include: - Evaluating and improving LLM reasoning performance - Designing automated trading strategies and execution systems - Building end-to-end data pipelines from ingestion to decision layer - Integrating AI models into production workflows I work best with founders, operators, and technical teams who need systems built — not slides created.