Hire Freelance Monte Carlo Simulation Experts
Predrag Miocinovic
Predrag is a software architect and engineer specializing in C++ for 20+ years. He started his career as an astrophysicist, working on groundbreaking experiments with optical and radio detectors; signal processing; and data management, analysis, and simulations. Leveraging those skills, Predrag transitioned to the financial sector as a lead developer for KRM, the market's most advanced financial risk analysis engine, used by some of the largest financial institutions to manage risk exposures.
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Sergei Markochev
Sergei is a lead data science and AI/ML developer with extensive experience—over 15 years' worth. He has led end-to-end project delivery and provided technical expertise for complex decision problems for FTSE 100 companies and SME businesses. Sergei possesses a PhD in Physics, has one patent and six academic papers, and recently won 1st place in an international data science competition.
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Chang Liu
With seven years of experience in IT from back end to front end, finance from back office to front office, and consulting, Chang Liu is able to take responsibility as either a business analyst or data analyst. Chang Liu will be a great asset to your team if you want to build new ML models, especially in finance-related themes.
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Nimrod Talmon
Nimrod is a researcher, consultant, and developer with 12 years of experience and expertise in software architecture and development, mathematical modeling, and algorithm development, in fields such as mathematical optimization, AI, algorithmic game theory, and operations research. Early in his career, Nimrod was a software engineer and tech team lead at Google, and he holds a PhD in computer science. From a polymath perspective, his EBS numbers are Erdös 3, Sabbath 7, and, arguably, Bacon 6.
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Thomas Debray
Thomas has 17 years of experience in risk modeling and causal inference and has managed over €1 million in research funds as a scientist. Since 2019, he has worked as an independent contractor for various global pharmaceutical companies and CROs. His goal is to improve data-driven decision making by adopting state-of-the-art analysis methods and delivering scientific scrutiny in a timely fashion.
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Asad S. Hussain, PhD, CFA
Asad has a doctorate in physics and specializes in nuclear fusion, theoretical fusion materials, and plasma fluid dynamics. He also holds a master's degree in engineering and a postgraduate diploma in mathematics and is a Chartered Financial Analyst (CFA). Asad has been applying his knowledge to developing models in automated pricing processes and statistical analysis of financial markets.
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Piero Ferrarese
Piero is a data scientist and developer with a computational physics background. Answering crucial business questions by extracting high-level information from raw data is what drives Piero. He enjoys working on complex problems end-to-end, from IoT programming on Rasberry or Arduino down to applications layers using ML and AI models. Piero focuses on predictive analytics and big-data challenges but has vast experience in various data science topics.
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Daniel Stahl
Daniel is a full-stack developer with nine years of real-world experience in financial modeling and analytics and three years of experience developing big data applications in Spark and Hadoop. He currently leads a machine learning operations team that designs continuous delivery services for machine learning applications. While professionally focused on data and analytics, Daniel has a passion for building delightful interfaces to enable the broad consumption of complex mathematical models.
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Daniel Doyle
Daniel is a data scientist who builds predictive models, data visualizations, and dashboards on large datasets with expertise in the staffing and investment management fields. He made a graph neural network to predict risk on a construction site reducing errors by 60%. Daniel improved a predictive modeling framework, handling millions of records on policyholder behavior using R and H2O. His models are used in financial forecasts and dashboards to catch aberrant behavior as it unfolds.
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Daniel Coderre
Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.
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Itamar Tsayag
Itamar is a talented algorithm developer and data enthusiast with expertise in computer vision, machine learning, and statistical analysis. He has successfully deployed cutting-edge algorithms for enhancing IVF cycle efficacy and stroke diagnosis. With a master's degree in electrical engineering and data science, Itamar excels in articulating complex topics and driving impactful results, leveraging his technical prowess and business acumen.
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