Hire the Best Quantitative Finance Freelancers
in the United Kingdom

I’m a Quantitative Researcher/Developer with 15+ years of experience building research frameworks, trading models, and analytics systems across asset classes — from FX and fixed income to digital assets. I’ve worked with Revolut, Talos, Lloyds, Barclays, and Credit Suisse, delivering production-grade quant research and execution platforms. My expertise covers both modelling and engineering: • Research — ML/AI for price forecasting, order flow, and liquidity modelling • Development — scalable data pipelines, backtesting engines, and real-time strategy APIs • Stack — Python (pandas, numpy, scikit-learn, statsmodels), SQL, Airflow, Docker, GCP/AWS I combine academic rigour with production discipline, translating quantitative insights into automated, deployable systems. Whether you need model design, performance optimisation, or end-to-end research automation, I can help you build data-driven trading solutions that scale.

✅ Why Work with Juri von Randow • Proven Expertise: The only options trading authority on Upwork with a verified 65% return in 2024. • Secrets Unlocked: I share proven strategies, tools, sources, and guide you to manage risk, avoid pitfalls, and build a winning routine. ✅ What I Bring to the Table 1. Stock Options Expertise: I teach advanced strategies to optimize risk, return, and leverage. 2. Quantitative Insights: I uncover actionable opportunities through data-driven analysis. 3. Financial Storytelling: I craft award-winning investment research with unique stock options insights. 4. Tailored Solutions: I create custom strategies for traders, investors, and funds, including automation. ✅ About Me • Proven Investor: Built a strong track record managing a high-performing options investment firm. • Financial Innovator: Designed tools and leveraged products for institutional clients. • Experienced Educator: Teaching mastery of stock options trading with focus on risk & capital efficiency. • Entrepreneurial Achiever: Built and exited successful ventures in fashion, hospitality, and services. • Global Investment Banker: Gained deep expertise in M&A and ECM in London and on Wall Street.

Former Fund Manager ($880mio AUM) | Trading Strategies | Programming | EAs and Indicators | Consultancy | Research | Stock trading | FX(Forex) Trading | Futures Trading | Crypto | Investment management For nearly 30 years I have been studying financial markets, trading, and developing and testing trading strategies for all markets including FX, crypto, stocks, options, and futures. I use my trading experience to help other traders develop and test their trading ideas. For 10 years I was a fund manager with at peak $880mio aum. My past and current clients include fund managers, professional traders, investment advisors and portfolio managers. I also work with private traders who are just getting started. I am focused on the following services: - Consulting on the creation and management of trading strategies in the stock markets, options, futures, crypto and FX (Forex), which are profitable. - Creation of scripts of indicators and strategies for TradeStation / Multicharts / Metatrader 4 & 5 - Trading coaching - options, stocks, futures, FX(forex), crypto - Trading psychology coaching - finding and clearing the blocks and limitations that are holding back your trading By choosing to work with me, you can count on a high level of professionalism, many years of experience, dedication and also enthusiasm for the project we do together.

I help financial institutions and data-driven businesses solve complex problems through statistical modelling, machine learning and quantitative analytics. From predictive models and risk analytics to AI-powered applications and data platforms, I deliver solutions that turn complex data into better business decisions. As a Fellow Actuary (FIA) and Statistician (FRSS), I combine expertise in statistics, quantitative finance and software engineering to solve challenging analytical problems. My experience spans insurance pricing, enterprise risk management (ERM), capital modelling, catastrophe modelling and AI-powered analytics. I’ve developed production pricing platforms, enterprise risk systems, statistical models, REST APIs, data pipelines and cloud-based analytical solutions used in real-world business environments. My background enables me to bridge rigorous quantitative analysis with modern software engineering, delivering solutions that are both technically robust and commercially practical. Core Expertise * Statistical Modelling * Machine Learning & AI * Risk Analytics & Financial Modelling * Python & R * Data Engineering & Automation * Backend Development & REST APIs * SQL & NoSQL Databases * Cloud-Based Data Solutions Whether you need to develop statistical models, build AI-powered analytics, automate data workflows or create scalable data platforms, I deliver robust, maintainable solutions designed for long-term success.

I am a CFA and CMT charterholder with more than 15 years of experience in investment management, portfolio strategy, financial analysis, data science and financial content creation. I have managed multi-asset portfolios, developed factor models and valuation frameworks, launched investment products, and led complex strategic initiatives involving senior management, regulators and cross-functional teams. My technical expertise includes Python, machine learning, agentic AI, quantitative research, technical analysis and algorithmic trading. I have built AI agents for trading analytics, model evaluation, walk-forward optimization and strategy parameter testing, as well as automated portfolio reporting, exposure analysis and benchmark comparisons. I am also an experienced financial writer and editor, including work for Investopedia, and use AI tools to produce accurate, original and engaging financial content efficiently.

I'm a quantitative trader, currently running a proprietary trading and tech consulting firm. Many years of experience in 1. researching and deploying systematic trading strategies in the crypto market. 2. building and maintaining full-stack trading systems. Experience with: - python: asyncio, fast api, websocks, ccxt, REST, pandas, numpy, scikit-learn, statsmodels - grpc, AWS, Redis, Linux, Postgres - Grafana