Todd Loken Dahle

Todd Loken Dahle

Senior Software Engineer @ Valkyrie Trading

About Todd Loken Dahle

Todd Loken Dahle is a Senior Software Engineer at Valkyrie Trading in Chicago, Illinois, where he has worked since 2017. He specializes in operational time series analysis and has a strong background in financial engineering and derivatives pricing.

Work at Valkyrie Trading

Todd Loken Dahle has been employed at Valkyrie Trading as a Senior Software Engineer since 2017. He has accumulated seven years of experience in this role, operating from the company's Chicago, Illinois office. His responsibilities include utilizing various programming languages and tools for real-time market data transmission and derivatives pricing.

Education and Expertise

Todd Loken Dahle holds a Master of Science in Financial Engineering from the Illinois Institute of Technology. He also earned a Bachelor's Degree in Finance from the University of Oregon's Charles H. Lundquist College of Business. His educational background supports his expertise in financial modeling and risk assessment.

Technical Skills and Tools

Dahle is proficient in several programming languages and tools, including C#/C++.NET, VB.NET, XML/FpML/FAST, and SQL Server. He has experience in operational time series analysis with S-Plus and has extensively used Excel/VBA for various financial calculations, including Value at Risk (VaR), binomial options pricing, and portfolio optimization.

Previous Experience at A.G. Edwards & Sons, Inc.

Before joining Valkyrie Trading, Todd Loken Dahle worked as a Financial Consultant at A.G. Edwards & Sons, Inc. from 2004 to 2006. This two-year tenure provided him with foundational experience in the financial services industry, contributing to his skills in pricing and risk modeling for derivative products.

Model Development and Analysis

Dahle has developed stochastic models using Matlab, focusing on Markov Chain Monte Carlo simulation and Bayesian model averaging. His experience includes developing and implementing pricing and risk models specifically for derivative products, showcasing his analytical capabilities in financial engineering.

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