Full-Time

Quantitative Researcher

Updated on 9/7/2026

QuantCo

QuantCo

201-500 employees

Enterprise data analytics and AI solutions

No salary listed

United States

Hybrid

Bachelor's, Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
LLM
Scikit-learn
Python
Quantitative Research
Neural Networks
PyTorch
Xgboost
Machine Learning
Pandas

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Requirements
  • Deep expertise in at least one relevant area, such as machine learning, statistics, econometrics, or causal inference, with an interest in learning and working beyond it.
  • Strong command of the mathematical and statistical foundations behind machine learning, statistical inference, and experimental design.
  • Ability to formulate testable hypotheses and draw reliable conclusions from complex, imperfect data.
  • Fluency in Python and its data and machine learning ecosystem, including pandas, Polars, scikit-learn, PyTorch, JAX, XGBoost, and LightGBM.
  • A degree in computer science, economics, statistics, mathematics, physics, engineering, or a related quantitative field.
Responsibilities
  • Carry quantitative research from initial framing and research through experimentation, model development, and continued iteration in production.
  • Design and analyze randomized experiments.
  • Estimate causal effects from messy observational data.
  • Build machine learning models that produce probabilistic forecasts.
  • Formulate and solve optimization problems that balance competing economic objectives under real-world constraints.
  • Choose or develop methods suited to the problem.
  • Build production systems that inform and automate critical business decisions.
Desired Qualifications
  • An advanced degree, specifically a Master of Science or Doctor of Philosophy, in computer science, economics, statistics, mathematics, physics, engineering, or a related quantitative field.
  • Experience evaluating models under uncertainty, distribution shift, or non-stationarity.
  • Hands-on experience training, adapting, or evaluating deep learning and foundation models, or the curiosity and technical foundations to get there quickly.

QuantCo uses data science and machine learning to help large organizations turn data into actionable business decisions through tailored solutions like algorithmic pricing, data-driven claims management, and high-dimensional forecasting. A team of over 100 experts in economics, data science, software engineering, and ML delivers models and tools for clients in finance, retail, industrial, and healthcare. The products analyze a company’s data, build predictive models, and integrate insights into existing processes to improve pricing, claims handling, and forecasting. The goal is to generate tangible economic benefits by saving money, optimizing operations, and increasing revenue through better decision-making, with differentiation coming from deep expertise and customized, business-focused implementations.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

Berlin, Germany

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • QuantCo’s August 2026 website shows active demand across finance, retail, industrial, and healthcare.
  • The company posted 26 new colleagues in January 2026, signaling renewed hiring.
  • Its AI Applied Scientist role adds frontier-model work, broadening offerings beyond classic data science.

What critics are saying

  • Public layoff history shows two cuts since 2020, including a 2023 round.
  • Hiring ads still target niche roles, exposing dependence on specialized talent and utilization.
  • OpenAI, Anthropic, and in-house data teams can commoditize QuantCo’s core services within 24 months.

What makes QuantCo unique

  • QuantCo sells algorithmic pricing, claims management, and forecasting, not generic analytics consulting.
  • Its 2026 job posts emphasize live decision systems, causal inference, and scalable engineering.
  • It serves large financial, retail, industrial, and healthcare clients across Europe and America.

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Benefits

Stock Options

Relocation Assistance

Hybrid Work Options