Welcome to

Red cedar

Research

About us

Red Cedar Research is a Canada-based consultancy company focusing in the area of quantitative finance. Our approach is the application of cutting-edge modern technology to solving a broad range of problems facing portfolio managers, such as data processing, risk modelling and management, impact modelling and management, portfolio optimization, as well as alpha generation.

OUR VALUES

The core of our operation is a proprietary platform for quantitative research and portfolio management. It includes all the ingredients for building a quantitative portfolio all the way from the raw data. Our platform allows a user to test ideas for alphas and strategies in a fast and convenient way. The platform can be used by researchers, portfolio managers, and risk managers. It includes our proprietary impact and risk models, an analytics library, and an optimization library.
Our approach is hiring a small number of highly qualified individuals with a strong background in quantitative disciplines, such as mathematics, physics, or computer science. We are hiring one out of several tens of potential candidates.

OUR VALUES

The core of our operation is a proprietary platform for quantitative research and portfolio management. It includes all the ingredients for building a quantitative portfolio all the way from the raw data. Our platform allows a user to test ideas for alphas and strategies in a fast and convenient way. The platform can be used by researchers, portfolio managers, and risk managers. It includes our proprietary impact and risk models, an analytics library, and an optimization library.
Our approach is hiring a small number of highly qualified individuals with a strong background in quantitative disciplines, such as mathematics, physics, or computer science. We are hiring one out of several tens of potential candidates.

Contact us

Alexander Chernyy

President

Alexander started his career in academy, where he worked 8 years as Associate Professor at the Moscow State University. During his academic career, he wrote over 40 papers, co-authored a monograph, and 3 students defended PhD under his supervision. Alexander holds PhD in mathematics, as well as doctor of sciences degree in mathematics.

After leaving academy in 2008, Alexander worked at several top US quantitative hedge funds, such as DE Shaw and Worldquant. He is currently serving as the Managing Director, Head of Quantitative Research and Alpha Capture at Crestline Investors.

Alexander’s 16-year experience in quantitative finance encompasses various areas, including alpha research, portfolio management, risk and impact modelling, as well as optimization of large portfolios. He also has experience in managing quantitative researchers, as well as launching research offices.

Red Cedar’s quantitative platform has been built by Alexander.

Lenar Kadyrov

Vice President

Lenar received the B.S. and M.S. degree in applied mathematics and physics from Moscow Institute of Physics and Technology in 2011 and 2013, respectively, and the Ph.D. degree in physics in 2016.

He has 5+ years in quantitative finance and is currently working as Vice President at Red Cedar Research.

Lenar specializes in quantitative optimization, alpha generation, as well as producing internal datasets from massive raw data.

Nikita Ogorodnikov

Senior Quantitative Researcher

Nikita Ogorodnikov graduated from Moscow State University, Faculty of Mechanics and Mathematics, in 2020. He obtained an honor degree in Fundamental Mathematics and Mechanics.

He was working as an Engineer for CS Personnel Consulting LLC in 2020-2021, doing research in the field of Erasure Coding. Since 2022, Nikita started working as a Quantitative Researcher at Krasnyi Kedr Kapital LLC in Moscow, and then as a Senior Quantitative Researcher. He was responsible for researching financial datasets, building quantitative trading strategies and creating in-house datasets using NLP techniques.

Since October 2023, Nikita works as Senior Researcher at Red Cedar Research in its Toronto office. His responsibilities include researching financial datasets, building risk models, and contributing to the internal software library.