I'm a master's student in market finance, and I spend the rest of my time coming up with projects such as a knowledge base of my own, agents that run unattended on a server, interface prototypes and research work.
A personal knowledge base I run from the terminal. Everything I read goes through the same chain, intake then review then writing into a local wiki, under a rule that refuses to record anything it hasn't verified: any figure needs two independent sources, and every page cites the ones it came from.
The agent that keeps Odyssée running. Nobody starts it: it makes its own rounds across my machine and my server, checks disks, memory, services and backups, repairs what breaks and reports the rest. What it may write to is a closed list, and my personal files aren't on it.
Job hunting, delegated. It reads the listings of more than 100 employers around the clock and keeps only the ones that meet my criteria on length, location, date… They are forwarded to a chat channel, or by email, with only the application left to make.
713 sourced pages 236 catalogued sources 22 methods written
What I open every day, grouped by use: office work, data analysis, notes, the assistants that search and read back, the editor and the repository where the code lives, and the terminal everything else starts from.
Excel
Word
PowerPoint
R
Jamovi
Power BI
Notion
Obsidian
Claude
Gemini
Perplexity
VS Code
GitHub
TerminalRisk management, derivatives pricing, fixed income, financial econometrics, machine learning for asset management. Thesis in progress: a systematic literature review following the PRISMA method, with bibliometric analysis.
Banking regulation, client financial analysis, credit and lending, savings products, banking risk. Coursework and AMF certification at the École supérieure de la Banque, the programme's partner school.
Quantitative and statistical methods, macroeconomics and market analysis, management accounting, geopolitics.
A family office based in Cyprus is assessing a renewable energy platform in Poland. The team is building the LBO model and the investment memo that goes with it, drawing on financial statement analysis and leveraged finance mechanics, within a framework meant to be reused for later direct investments and co-investments.
FX and equity indices, self-taught. Strategies are run under an explicit risk framework: fixed risk per position, maximum drawdown monitored. They are assessed through a prop firm programme.
A retail client portfolio run independently for a year: wealth assessment and recommendations under client suitability rules, loan applications assessed through borrower risk analysis, KYC and AML/CFT compliance review, and weekly reporting presented to the branch.
