Shahriar Haghani

Shahriar Haghani

Software Developer, Capital Markets & Data Services @ FD Technologies

About Shahriar Haghani

Shahriar Haghani is a Software Developer specializing in Capital Markets and Data Services at FD Technologies in Toronto, Canada. He holds a Bachelor of Applied Science in Mechanical Engineering and a Master of Financial Engineering from the University of Toronto, and has experience in various roles including Environmental Data Analyst and Product Design Manager.

Work at FD Technologies

Shahriar Haghani has been employed at FD Technologies as a Software Developer in the Capital Markets & Data Services division since 2021. His role focuses on developing resilient ETL processes and databases that handle high-volume capital market data. He utilizes various software build and deployment management tools, including the Atlassian suite, Git, Bitbucket, Jira, Jenkins, and Team City, to streamline development workflows and enhance productivity.

Education and Expertise

Shahriar Haghani holds a Bachelor of Applied Science (BASc) in Mechanical Engineering from the University of Toronto, which he completed from 2013 to 2018. He further advanced his education by obtaining a Master of Financial Engineering (MEng) from the same institution, studying from 2018 to 2020. His academic background equips him with a strong foundation in engineering principles, financial modeling, and sustainable energy.

Background

Prior to his current roles, Shahriar Haghani worked as an Assistant Researcher at Coraltec Inc. for three months in 2015. He also served as a Master of Engineering student specializing in Financial Engineering and Sustainable Energy at the University of Toronto from 2018 to 2020. Additionally, he was a co-founder and Product Design Manager at Grid Parking from 2018 to 2019, where he contributed to product development and management.

Current Role at University of Toronto

In addition to his position at FD Technologies, Shahriar Haghani works as an Environmental Data Analyst - Research Assistant at the University of Toronto since 2021. In this role, he applies his analytical skills to environmental data, contributing to research initiatives that leverage his expertise in engineering and finance.

Technical Skills and Problem-Solving Approach

Shahriar Haghani possesses expert knowledge of kdb+ and the k programming language, which he utilizes to enhance financial models. He is skilled in Python scripting and structured databases, allowing him to develop efficient data processing systems. He approaches problem-solving by applying logical and mathematical analysis, believing in the importance of innovative thinking and continuous learning to tackle complex challenges.

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