Quantitative Researcher

Reposted 13 Days Ago
Hiring Remotely in United States
Remote or Hybrid
Mid level
Big Data • Software • Quantitative Trading
The Role
As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.
Summary Generated by Built In

As a Quantitative Researcher at QuantCo, you’ll combine mathematical and statistical rigor with economic reasoning and modern machine learning to build models and systems that power high-stakes decisions across industries. Those systems tackle some of the hardest, most consequential problems our customers face, and you’ll carry the work from initial framing and research through experimentation, model development, and continued iteration in production.

We work in areas such as algorithmic pricing, claims management, underwriting, and predictive health. You’ll build on a shared technology base that improves with each new application, while choosing—and when needed, developing—methods to fit the problem. That might mean designing and analyzing randomized experiments; estimating causal effects from messy observational data; building machine learning models that produce probabilistic forecasts; or formulating and solving optimization problems that balance competing economic objectives under real-world constraints. The resulting systems run in production at organizations serving millions of people, informing and automating critical business decisions that affect billions of dollars. You’ll have unusual autonomy over how they’re designed and built.

There is no single path into this role. Our quantitative researchers come from economics, statistics, mathematics, physics, computer science, and other quantitative fields. The team brings together researchers with PhDs as well as those with master’s and bachelor’s degrees. What they share is exceptional quantitative judgment, the ability to learn quickly, and the drive to turn ideas into systems that deliver measurable real-world impact.

You may be a strong fit if you have:

  • Deep expertise in at least one relevant area—such as machine learning, statistics, econometrics, or causal inference—and an interest in learning and working beyond it.

  • Strong command of the mathematical and statistical foundations behind machine learning, statistical inference, and experimental design.

  • The ability to formulate testable hypotheses and draw reliable conclusions from complex, imperfect data.

  • Fluency in Python and its data and ML ecosystem (e.g., pandas/Polars, scikit-learn, PyTorch/JAX, XGBoost/LightGBM).

  • A degree in computer science, economics, statistics, mathematics, physics, engineering, or a related quantitative field.

Nice to have:

  • An advanced degree (MS/PhD) in one of the fields above.

  • 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.

What we offer:

You’ll join an intellectually curious, interdisciplinary team that thrives on solving difficult problems and developing novel solutions that work in practice. We care deeply about our customers and build thoughtful products that deliver meaningful impact. You'll work alongside colleagues who take one another’s ideas seriously, challenge each other thoughtfully, and are eager to learn across disciplines. We offer a generous compensation package that includes a base salary, bonus, and equity, 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.
 
QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
 
 
 

Skills Required

  • Degree in economics, statistics, mathematics, computer science, engineering, or physics
  • In-depth understanding of machine learning techniques and causal inference
  • Experience in coding using Python with libraries such as Pandas and XGBoost/LightGBM
  • Business proficiency in English
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Boston, MA
215 Employees

What We Do

QuantCo leverages expertise in data science, engineering, and economics to help organizations turn data into decisions. Founded in Boston, QuantCo now also has offices in Berlin, Cologne, Karlsruhe, Munich, Zurich, London, and San Francisco. Our product line includes algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions. 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 data insights with scalable engineering solutions. Join Us! QuantCo offers a fast-paced environment that values ownership and personal growth in both internships and full-time positions.

Similar Jobs

SentiLink Logo SentiLink

Quantitative Researcher

Fintech • Information Technology • Software
Remote
United States
170 Employees
120K-220K Annually

Deeter Analytics Logo Deeter Analytics

Quantitative Researcher

Financial Services • PropTech • Quantitative Trading
Remote
US
20 Employees
120K-170K Annually
Remote
United States
192 Employees
Remote
Massachusetts, USA
2471 Employees
120K-140K Annually

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account