Case Studies
Real-world implementations and results
Strategic Automation at Razor Group
Product Manager and M&A Tech Analyst
Quantitative Finance at Metzler Asset Management
Student Assistant
Strategic Automation at Razor Group
Co-built M&A automation platforms that scaled the global market leading e-commerce aggregator to a €1B+ valuation and €400M+ revenue in just 1.5 years since founding, saving over 1,000 hours of manual work monthly through intelligent process automation.
Challenge
Razor Group’s rapid growth demanded scaling M&A technology to efficiently value, manage, and integrate a high volume of acquisitions while making fast, sound decisions in ambiguous environments.
Solution
Led 50+ M&A deals while building the VAR platform on AWS to semi-automate valuation and due diligence, which involved calculating P&Ls from millions of transactions and automatically generating investment committee slides.
Results
The production systems and automation delivered scaled the company to a €1B+ valuation and €400M+ revenue, with automation saving 1000+ hours of manual work monthly.
Key Achievements
- Owned the product strategy and implementation of the M&A tech platform, cutting the time for valuation and offer generation from weeks to hours, enabling the global market leading e-commerce aggregator of today to rapidly scale to a €1B+ valuation and €400M+ revenue in just 1.5 years since founding
- Led 50+ M&A deals while building the Vector Accelerated Reconciliation (VAR) platform on AWS to semi-automate valuation and due diligence by calculating a P&L from millions of transactions and by automatically generating investment committee slides, delivering €1M+ in value on single deals
- Saved 1000+ hours/month by both personally developing key automations and strategically managing the agile product development including technical leadership of the development team
Quantitative Finance at Metzler Asset Management
Developed and automated complex financial models for market-beating investment strategies, enhancing portfolio analytics and decision-making through object-oriented programming and data pipelines.
Challenge
Needed to implement quantitative investment strategies and enhance portfolio analytics by engineering and automating complex financial models to achieve market-beating performance in Fixed Income & Asset Allocation.
Solution
Engineered and automated complex financial models like the Merton Distance-to-Default using object-oriented programming, building data pipelines to enhance portfolio analytics and decision-making, and analyzing bond issuers via thorough credit analysis.
Results
Automation of financial models and implementation of data-driven pipelines significantly improved portfolio analytics efficiency and supported the execution of successful market-beating investment strategies.
Key Achievements
- Executed quantitative, market-beating strategies in Fixed Income & Asset Allocation
- Engineered and automated complex financial models (e.g., Merton Distance-to-Default) implementing object-oriented programming and data pipelines to enhance portfolio analytics and decision-making
- Analyzed bond issuers via thorough credit analysis and direct intelligence gathering at financial roadshows