Dr. Denis Znamenskiy

Operations research: Development of algorithmic optimization of the positions of lateral signals for the French railway (SNCF). Object oriented programming and scientific calculus (Visual C++).

Launched and scaled a licensed iGaming (sportsbook & casino) platform from zero to operational profitability. Secured $500K in seed funding from a US private investor. Spearheaded end-to-end licensing and technical deployment. Achieved rapid traction with ~15,000 monthly registrations (10% conversion) and drove the platform to a $30k monthly P&L. Built and led a 10-person cross-functional team; orchestrated integration of multiple global payment gateways.

Architected and led a quantitative trading desk managing ~$100M in AUM with institutional-grade performance. Delivered an average monthly PnL of 2.5% with a portfolio Sharpe Ratio of 1.5-2.0 through high-frequency forex strategies. Developed proprietary AI-driven limit order book prediction models (CNN), increasing forecast precision from 55% to over 65%. Architected HFT infrastructure and implemented market-making, arbitrage, and directional models (Python, PyTorch). Pitched and secured strategic private investment for trading capital expansion.

Pioneered a DeFi yield farming and liquidity provisioning platform within a competitive Web3 landscape. Directed the end-to-end development and launch of the platform, including Automated Market Making (AMM) solutions and tokenomics. Managed a $1M budget and a distributed team of 12 professionals to execute the platform's Web3 vision.

Successfully orchestrated the full-cycle launch and community growth of a GameFi project. Led the successful Initial DEX Offering (IDO), overseeing development, marketing, PR, and community growth. Managed a 30-person global team and a $3M+ budget. Produced technical whitepapers and led investor communications. https://www.linkedin.com/company/d-a-r-labs/about/

Spearheaded the architecture, fundraising, and launch of a pioneering blockchain-based Social Trading Network. Platform Architecture: Conceived and led the development of a proprietary Social Trading platform and multi-currency crypto wallet, enabling P2P execution of algorithmic trading strategies. Capital Raise & ICO Leadership: Orchestrated a successful $1.8M ICO. Directed the entire process from technical whitepaper authorship and smart contract auditing to global marketing campaigns and international investor roadshows. Team & Vision: Built and managed a distributed global team of developers, quants, and marketers.

Transformed quantitative research into a scalable SaaS product for institutional clients. Architected and launched a global automated investment forecasting SaaS platform covering equities, ETFs, commodities, and rates. Created advanced mathematical models and cloud-native analytics infrastructure, improving forecast precision while reducing client cost of ownership. Raised $1.1M in funding.

Founded and managed a proprietary algorithmic hedge fund, a significant technical and market challenge. Managed $200M in AUM. Designed and built from scratch an HFT arbitrage system between LSE and MICEX, overcoming major latency and regulatory hurdles. Oversaw development of low-latency infrastructure, server colocation, and a proprietary trading system. Led the quant, IT, and sales teams; cultivated relationships with institutional clients and family offices. Raised $10M in capital.

Setting up a CTA trading company in Switzerland. Development of systematic strategies for futures and forex. Complete trading system framework on FORTS.

Algorithmic trading platform development using the CEP technology for the capital markets. Within the Apama division supported the sales operation of Progress' Apama algorithmic trading platform from first-contact (trade shows, production demonstrations and usage discussions, etc.), through setting up and running proofs-of-concept (project scoping and delivery, reviewing of project goals, delivering training, etc.), and through technical account management post licence.

Development of models to forecast interest rates and FOREX, based on economic time series. Time series analysis. Implementation of non-linear models through neural networks, using Matlab (VB, Matlab: Neural Network toolbox, Datastream, Bloomberg)

Rheology: Numerical modelling of a polymer melt flow by Finite Elements technique (fluid mechanics: PDE Navier-Stocks, Matlab, Femlab). Publication of a solution for the geometry of particles injected in the polymer melt to control the “strain-hardening” property of the melt.