Daniel Hans Munk Porsmose — Associate Consultant
I love tackling complex problems, turning them into solutions, and then diving right into the next challenge. This is what drew me to the front office of trading firms as a Quant. The fast-paced environment excites me - the challenge of finding solutions that are dependable yet fast. I enjoy writing code that is robust and reliable, while also being pragmatic enough to get solutions out the door when they’re needed.
Stackforce AI infers this person is a Fintech professional specializing in quantitative analysis and algorithmic trading.
Location: Aarhus, Central Denmark Region, Denmark
Experience: 2 yrs 6 mos
Skills
- Algorithmic Trading
- Data Analysis
Career Highlights
- Expert in algorithmic trading and quantitative analysis.
- Strong background in physics and mathematics.
- Proven ability to develop robust trading solutions.
Work Experience
IMC Trading
Quantitative Analyst (7 mos)
Danske Commodities
Quantitative Analyst (1 yr 11 mos)
KU Studenteridræt (KSI)
Climbing Instruktor/Trainer (3 yrs 3 mos)
Københavns Universitet - University of Copenhagen
Teaching Assistant (2 mos)
Education
MSc at Københavns Universitet - University of Copenhagen
Academy Profession at Paul Petersens Idrætsinstitut
BSc at Københavns Universitet - University of Copenhagen
56th Plasma Physics Summer School at Culham Centre for Fusion Energy at Oxfordshire
BSc at Københavns Universitet - University of Copenhagen