Mr. Kisacikoglu brings over two decades of experience in trading derivatives markets. Since 2006, he launched and grew several financial service platforms and advisory firms specializing in designing and trading derivative overlays and synthetic indices. He consolidated these technologies until 2014 and subsequently founded Quants, Inc. in 2017 and launched Quants Fund, LP, a liquid alternative fund.

 

Before transitioning to the finance industry, he spent approximately 20 years working on stochastic and physically-based computer aided simulations with high-performance computing (HPC) for both government research and private projects,

Brent Peters, 45, has been a registered financial advisor since 2009. Since 2019, his greatest passion
has been building relationships with high-net-worth clients and businesses, and educating them on trading strategies using derivatives. This enthusiasm led him to join Quants as a partner in 2022. Mr. Peters brings with him a wealth of industry experience from  prestigious institutions such as Edward Jones and TD Ameritrade/Schwab.

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David Lentz has nearly 20 years of experience as a registered financial advisor, has provided planning and advisory services to high-net-worth individuals, families, and business owners. Mr. Lentz has been trading derivatives since 2008. In 2020, he joined Quants as a director and partner, playing a crucial role in the successful launch of Quants Fund, LP.

 

His extensive industry expertise has significantly enhanced Quants' capabilities. David currently oversees all trading operations, bringing an additional layer of expertise and precision to the team. He previously worked at TCA Financial, Prospera Financial, and Kestra Investment services as a financial advisor and broker.

Ahmet Eti, CTO, boasts over three decades of expertise in technology and SaaS development, operations, and marketing. He is the founder of Sebit in USA and Turkey, a company that employs over 300 people and has thrived under his leadership for over 20 years.

 

Sebit's SaaS platform in education serves millions daily across 17 countries. Following its acquisition by Turk Telekom Group in 2007, Mr. Eti continued to manage Sebit for over a decade. An early investor in Quants, Mr. Eti has built his technology team and has been fully dedicated to Quants' technology development and operations since 2023.

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Allen Ferraudo, 41, Director of Analytics, is a specialist in innovation and knowledge economics, with nearly 20 years of diverse sector experience. In 2016, he founded Infiniti LTDA, a business intelligence firm, providing strategic support and mediating  negotiations. In 2023, Quants acquired Infiniti to establish Quants Infinity, a data research team, focusing on the US  markets.

 

Mr. Ferraudo holds a degree in International Relations and a Master’s in Law and Economics from the University of Bologna, Italy.

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Tawan Carvalho is a Quantitative Researcher with a PhD in Physics, specializing in computational neuroscience, machine learning, and complex systems modeling. With peer-reviewed publications in Nature Communications, Journal of Neurochemistry, and Frontiers in Neural Circuits, his academic work focuses on dynamic modeling, statistical inference, and large-scale neural network analysis.

 

At Quants Infinity, Carvalho leverages advanced AI techniques, probabilistic modeling, and time-series analytics to develop data-driven frameworks for market prediction, alpha research, and risk optimization.

Thiago Maia is the Chief Economist at Quants Infinity, with more than 20 years of experience in applied economic analysis, market intelligence, and data-driven forecasting. He holds a Master’s degree in Economics and advanced training in Machine Learning and Data Science from IBM, alongside strong expertise in econometrics, macroeconomic modeling, and financial analysis.

 

At Quants Infinity, Maia leads the development of predictive macroeconomic models, integrating Python-based econometrics, deep learning architectures, and advanced time-series techniques to assess global economic regimes and their impact on U.S. financial markets. His work spans automated data pipelines, dimensionality reduction, probabilistic modeling, and macro stress testing, contributing to the firm’s research agenda with high-precision insights for market prediction, risk management, and strategic economic positioning.

Fernando Martins is a Quantitative Researcher specializing in machine learning, artificial intelligence, and quantitative finance. He holds a PhD in Mathematics and applies advanced statistical modeling, deep learning, and Bayesian inference to develop systematic strategies for alpha generation, derivatives pricing, and portfolio optimization.

 

At Quants, Inc., Fernando integrates rigorous quantitative methods with practical AI applications to enhance data-driven investment research and decision-making.