Are you passionate about applying economic and statistical models to solve complex problems? QuantCo is seeking a talented Quantitative Researcher to join our dynamic team. This role is crucial in deriving actionable insights from large-scale data, impacting diverse sectors such as insurance, healthcare, and e-commerce. If you thrive on quantitative challenges and collaborative problem-solving, this opportunity is for you.
About QuantCo
Our Mission
At QuantCo, we harness the power of data science, engineering, and economics to transform data into actionable decisions. Founded by four PhDs from Harvard and Stanford, we are now a global team of over 180 professionals. Our offices span Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
What We Do
We specialize in creating advanced solutions for algorithmic pricing, data-driven claims management, and high-dimensional forecasting. Our clientele includes leading financial, retail, and healthcare organizations across the US and Europe. Our work directly influences core business processes and decisions, combining sophisticated data insights with scalable engineering solutions.
Role Overview
Key Responsibilities
As a Quantitative Researcher at QuantCo, you will:
Apply Economic and Statistical Models: Use models to analyze large datasets, providing insights and recommendations that drive business value.
Collaborate Across Teams: Work closely with data scientists, economists, and software engineers to address technical and quantitative challenges.
Solve Complex Problems: Tackle a variety of business decisions and industry-specific challenges, applying both qualitative and quantitative analyses.
Develop Novel Solutions: Identify unique solutions and opportunities that others may overlook, balancing practical implementation with high-quality results.
Qualifications
Essential Requirements:
Educational Background: A degree in economics, statistics, mathematics, computer science, engineering, physics, or related fields from a leading university.
Quantitative Skills: Strong understanding of mathematical and statistical concepts used in common machine learning techniques, and interest in causal inference (e.g., A/B testing).
Programming Experience: Proficiency in coding and data manipulation using tools and languages such as Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git.
Problem-Solving Abilities: Demonstrated capability to identify and develop solutions for complex problems.
Professionalism: High level of commitment, reliability, and a balanced approach to pragmatism and perfectionism.
Language Skills: Business proficiency in English.
Desirable Skills:
Additional Tools and Languages: Experience with SQL, TensorFlow, cloud infrastructure, and Docker is a plus.
What We Offer
Benefits and Perks
At QuantCo, you will be part of a motivated and driven team that values challenging problems and innovative solutions. We offer:
Competitive Compensation: A generous package including base salary, bonus, and stock options.
Relocation Support: Assistance for candidates moving to our office locations.
Location-Based Benefits: Additional perks tailored to your location.
Inclusive Culture: A respectful and collaborative work environment where each team member's contributions are valued.
Why QuantCo?
QuantCo is not just about solving problems—it's about making a tangible impact. We write mission-critical code that influences millions of people and affects billions of dollars. Our team is dedicated to delivering thoughtful and impactful products, always pushing the boundaries of what data can achieve.
Join Us
If you're excited about leveraging your quantitative skills to drive significant business outcomes and make a real difference, we want to hear from you. Apply now to become part of a team that values data-driven insights and innovative solutions.
QuantCo is committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, veteran status, disability, or other legally protected characteristics.
Ready to take the next step in your career? Apply today and help us shape the future with data!
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