Conor Mahany — Product Engineer
I am interested in generative artificial intelligence, compiler optimization, and, especially, category theory. I create, optimize and maintain applications using various programming languages, including Python, C++, Rust, Lisp and JavaScript. I have researched and traded ETFs, futures, and options across multiple asset classes, including equities, commodities, fixed income, currencies and crypto.
Stackforce AI infers this person is a Fintech Quantitative Developer with expertise in trading algorithms and data analysis.
Location: New York, New York, United States
Experience: 9 yrs 7 mos
Career Highlights
- Expert in generative AI and compiler optimization.
- Strong background in quantitative trading and financial analysis.
- Proficient in multiple programming languages including Python and C++.
Work Experience
Velar Technologies
Quantitative Developer (1 yr 5 mos)
Maverick Derivatives
Quantitative Trader (2 yrs)
HC Technologies, LLC
Quantitative Developer (1 yr 1 mo)
Charlesworth Research
Quantitative Trader (5 yrs 1 mo)
Education
Bachelor of Science - BS at University of Chicago