Awais Ali — Associate Consultant
I’m a second-year Physics student at Imperial College London, interested in how analytical thinking and data can drive smarter decisions across fields. I enjoy building things that turn complexity into clarity, from developing my own algorithmic trading model to quantitatively analysing leg kick styles in UFC and leading outreach for the Physics Society. What drives me is solving problems that mix data, logic, and strategy - and seeing real results. I’m especially drawn to environments where curiosity meets impact: whether that’s optimising investment ideas, modelling financial systems, or helping clients make data-backed strategic choices. Currently exploring roles across quantitative research, consulting, and investment strategy - and always keen to learn from people who think deeply about markets, risk, and decision-making.
Stackforce AI infers this person is a data-driven problem solver in the education and finance sectors.
Location: London, England, United Kingdom
Experience: 1 yr 8 mos
Skills
- Communication
- Marketing
- Teaching
Career Highlights
- Developed an algorithmic trading model.
- Led outreach for the Physics Society.
- Tutored IGCSE Mathematics online.
Work Experience
The D. E. Shaw Group
Spring Insight Event (0 mo)
Queen's Tower Capital
Quantitative Analyst (3 mos)
Imperial College London
Physics Department Representative (7 mos)
Imperial College Union
Publicity Officer (9 mos)
Self-employed
Mathematics Tutor (11 mos)
Education
MSci Physics with Theoretical Physics at Imperial College London
A-Levels: Physics at Derby High School
GCSEs at Derby Grammar School