Bohdan Horak

Bohdan Horak's work experience includes:

- Sr. Quantitative Researcher/ML Engineer at AlphaLayer since January 2020. Their responsibilities include working on projects such as Pairs Trading, Preferred Share Statistical Arbitrage Strategy, Financial Health, and Portfolio Optimization and Factor Analysis Tool.

- Machine Learning Researcher with UofA/ATB partnership at the University of Alberta from January 2018 to June 2022.

- Graduate Teaching Assistant at the University of Alberta from September 2016 to December 2017.

- Financial Analyst, Performance & Analytics at Alberta Investment Management Corporation (AIMCo) from June 2018 to January 2020.

- Student, Performance & Analytics at Alberta Investment Management Corporation (AIMCo) from January 2018 to June 2018.

- Summer Student, Collateral Management at Alberta Investment Management Corporation (AIMCo) from May 2017 to December 2017.

Bohdan Horak's education history begins in 2011 when they enrolled at the University of Alberta to pursue a Bachelor's Degree in Mathematical Finance. Bohdan studied in this program for five years, completing their undergraduate education in 2016.

Following their undergraduate studies, Bohdan continued their education at the University of Alberta, enrolling in their Master's Degree program. Bohdan specialized in Mathematical Finance and completed this program from 2016 to 2018.

After obtaining their Master's Degree, Bohdan decided to further advance their knowledge and skills by pursuing a Doctor of Philosophy - PhD at the University of Alberta. Their chosen field of study for their doctoral program is Statistical Machine Learning. Bohdan began their PhD journey in 2019 and is expected to complete their degree in 2023.