Marc Kaio Hasler, Swiss finance student. I go by Kaio. BA Banking and Finance at the University of Zurich, on exchange at NTU Singapore until December 2026. I build the tools I need with AI coding agents.
Available January to September 2027 for a full-time internship in commodity trade finance, commodity trading or sustainable finance.
Part 1 of 3
Why this is hereWhere my interest comes from, and why it is more than a trend choice.
It started with one course at UZH: Commodities Trading and Finance.
I like finance that stays connected to physical reality, and I have always built things. For Lavour, my school mini enterprise, I designed a wooden soap holder and produced it on a CNC machine I built from scratch with my father.
Commodity markets and sustainable finance interest me, and I see the two as connected.
Why this is hereI chose both places on purpose. This is what I study there.
Switzerland and Singapore are two of the main hubs of commodity trading. I study in one and came to the other on purpose.
ZRH, 2024 to 2027
BA Banking and Finance at the University of Zurich, 2024 to 2027.
Exchange semester at NTU, August to December 2026. My courses include:
An example of a tool I built for myself
Why this is hereA small example of how I solve my own problems: I build a tool.
Course registration at NTU runs on a system called STARS. Students call it ‘Star Wars’, because getting courses is a fight.
I built a course planner that optimises my course choices and gives me options and alternatives if I do not get a course.
Try this
Pick a course you did not get.
See the alternatives the planner proposes.
Check the timetable for clashes.
Why this is hereThe short version of my CV, for context.
2026
Courses include Enterprise Risk Management for Commodity Traders, Fixed Income Securities, Sustainable Finance and Cultural Intelligence at Work.
2025
StudyWU ViennaInternational Summer University2025Grade 6.0 of 6.0.
2024
StudyUniversity of ZurichBA Banking and Finance, minor in General Economics2024 to 2027Grade 5.3 of 6.0. Bachelor thesis in progress: “Cancelled Warrants as Predictive Signals for Spread Dynamics and Volatility in LME Industrial Metals”.
WorkUBSFraud Prevention SpecialistMar to Jun 2024Reviewed alerts from the fraud detection model and worked with compliance and risk teams on flagged cases.
2023
Talks at Forum kAIpital and the International Bankers Forum.
AI-assisted workflow automation in a B2B industrial company.
2022
Led a group of about eight soldiers and designed a new reporting scheme. When the same exercise was repeated with it, reports were more precise and took about 60 percent less time.
2020
UBS ‘Most Innovative Product’ award 2021, top 8 of more than 180 teams nationwide.
2018
UBS Most Innovative Product AwardUBS, at the national YES competition2021With the Lavour team. Teammates' names are hidden.
TOEFL iBT: 114 of 120ETS2025Score section of the report.
Innosuisse Business CreationInnosuisse and Venturelab2023
Entrepreneurial Skills PassJA Europe, CSR Europe and Eurochambres2021
Part 2 of 3
Why this is hereAI is how I get work done every day. If you work with me, you should know how I use it and how I make sure the results can be trusted.
I keep all my work in one place, so the AI agent has the full context. People communicate better with context, and so do AI agents.
The principle
In everything I do, every statement and every number goes back to a source. Nothing is based on what a model imagines.
Sources are cited in APA style.
Every source is downloaded and kept.
Every number is traceable to its source.
A checker that uses plain logic, not an AI model, catches any figure that does not match its source.
The aim is to keep hallucinations and guesswork out.
Diverse minds avoid shared blind spots, so I never rely on one model.
What I want, in my own words.
Claude turns the dictation into a clear brief. Gemini and ChatGPT interpret it independently and sharpen the task.
Claude Fable leads the planning, together with GPT and Gemini. Claude Opus does the work.
All three vendors’ models review the result independently. A logic check tests every number: plain logic, not an AI model.
Why this is hereI learn by building. These are things I made because I needed them.
When I travel I spend a lot of time on social media trying to find good places, and it is hard.
Paste a link from TikTok, Instagram or Google Maps and the place lands as a pin on your map. Trips are planned together on the same map. I built it for myself and my friends first. Now more people use it.
It works like a small social network: anyone can make a map of good cafes or restaurants and share it with friends. It is also a personal record of where something was good and what you ordered.
01 / 03City map "My map of Singapore" from my own account: 75 saved spots, food filter on, pins across the city.
A startup I co-founded: 3D real-estate walkthroughs using Gaussian splatting.
The idea: scan a property with a consumer drone or a 360 degree camera, render it as a 3D model, and let buyers walk through it on a phone, on a desktop or in VR before they visit.
My part: operations, financial planning and investor materials.
We wound it down after market validation showed no clear product-market fit.
Bachelor thesis, in progress
Why this is hereWhat I am curious about, and how I approach a question.
Cancelled Warrants as Predictive Signals for Spread Dynamics and Volatility in LME Industrial Metals
I find cancelled warrants genuinely interesting. I wanted a topic that adds to the literature, that can be of interest to firms, especially trading firms, and that teaches me to work properly with statistics and with AI tools in research.
To my knowledge there is very little published research that tests this.
Beyond the thesis I also follow gold, silver and oil at the moment.
Daily warehouse figures from the London Metal Exchange, cash and three-month prices for four metals, and a few market indicators such as interest rates and the US dollar.
Cancelled warrants: metal in LME warehouses that its owner has earmarked for withdrawal. I look at how much that is as a share of the stock, and how it changes from day to day.
Whether a change in cancelled warrants says something about the next days: the price move, the gap between the cash price and the three-month price, and how strongly prices swing.
Every series is checked for gaps and coverage before any test. The LME data is licensed, so this page shows the method only: no data and no results.
Why this is hereSo you can judge my work yourself instead of taking my word for it.
A selection of my papers and slide decks. Click a stack to turn its pages, or open it large to read.
Part 3 of 3
Why this is hereSo you know me as a person, not only as a CV.
