Quantitative Researcher

Europe On-site Mid-level 06.07.2026
Software Engineer Data Science
Auf einen Blick

Trage als Quantitative Researcher zu QuantCo's Produkten bei und entwickle wirtschaftliche und statistische Modelle für komplexe Geschäftsprobleme. Du arbeitest an Lösungen für Versicherung, Gesundheitswesen und E-Commerce.

💰 ~€80.000–110.000/Jahr (geschätzt) 📊 Junior 🕒 Vollzeit 🌍 Hybrid 🗺️ EMEA
  • Abschluss in quantitativen Fächern
  • Machine Learning Verständnis
  • Python-Programmierung
  • Kausalem Reasoning
Economic Analysis Python XGBoost Causal Inference

Gehalt geschätzt anhand Junior/Mid Quantitative Researcher in europäischen Tech-Hubs. Kein Gehalt in der Anzeige angegeben.

✅ Geeignet für
  • Absolventen mit PhD/Masters in quantitativen Fächern
  • Datenanalysten, die zu Economic Modeling wechseln wollen
  • A/B-Testing und ML-Experten
🚫 Weniger geeignet
  • Ohne fortgeschrittene mathematische Ausbildung
  • Reine Software-Ingenieure
  • Wer nicht mit Economics arbeiten will
💡 Gut zu wissen
  • QuantCo sucht PhD/Masters-Absolventen von führenden Unis
  • Fokus auf kausalem Reasoning
  • Umzugshilfe bedeutet, die Firma hilft beim Umzug
As a Quantitative Researcher at QuantCo, you will contribute to our core services and products, applying economic and statistical models to large-scale data to derive insights and actionable recommendations across a wide range of applications in fields such as insurance, healthcare, and e-commerce. You will work alongside our data scientists, other economists, and software engineers to solve technical and quantitative challenges ensuring that our solutions produce value for our clients. The Quantitative Researcher position applies both qualitative and quantitative economic analysis to the historical and proposed business decisions of our clients across a wide range of industries.
As a Quantitative Researcher at QuantCo, you will contribute to our core services and products, applying economic and statistical models to large-scale data to derive insights and actionable recommendations across a wide range of applications in fields such as insurance, healthcare, and e-commerce. You will work alongside our data scientists, other economists, and software engineers to solve technical and quantitative challenges ensuring that our solutions produce value for our clients. The Quantitative Researcher position applies both qualitative and quantitative economic analysis to the historical and proposed business decisions of our clients across a wide range of industries.
What we offer

You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits.

About QuantCo
At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
 
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
 
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
 

We are looking for team players who have excellent quantitative abilities and:

  • A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields from a leading university
  • In-depth understanding of mathematical and statistical concepts behind the most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests
  • Experience in coding and working with data using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM)
  • Ability to see solutions and opportunities that others do not see
  • High level of commitment and reliability, good balance of pragmatism and perfectionism
  • Business proficiency in English
  • Bonus if skilled in any of the following tools and/or languages:

  • SQL
  • Tensorflow
  • Git
  • Cloud infrastructure