Working at QuantCo
Who we are
Founded by four Harvard and Stanford PhDs, QuantCo is a leading applied AI company with over 200 data scientists, software engineers, economists, and AI experts. Our technology fuses state-of-the-art generative AI with econometric optimization and causal inference, enabling automation grounded in both structured and unstructured data while maintaining full explainability and traceability.
What we do
We leverage data science, AI, engineering, and economics expertise to help organizations turn data into decisions. Our teams combine cutting-edge econometrics, deep learning, and machine learning techniques to develop solutions for:
How we work
Our teams are lean, robust, and work effectively through very close collaboration. They typically consist of a combination of different roles and backgrounds where responsibilities often overlap and successes are shared.
At QuantCo, typical days do not exist, and our schedules are structured around building solutions rather than sitting in meetings. We spend our time tackling messy, real-world data, demanding a blend of technical rigor, pragmatism, and innovation to solve our partners' most critical problems.
We typically engage in client partnerships that last for many years, allowing our teams to dive deep into complex data environments and build best-in-class, end-to-end systems that we own. By combining this deep institutional knowledge with state-of-the-art technology and an exceptionally talented team, we solve our partners' most critical and high-stakes business problems.
Our team
At QuantCo, world-class talent builds the Machine Learning systems of the future. Meet the people behind QuantCo and explore their backgrounds:
Browse the full teamOur clients
We partner with some of the largest insurance, healthcare, and retail organizations in Europe and the US to realize their full potential and generate tangible, bottom-line impact.
Our systems and models interact with billions of $ and reach millions of people.
Our office locations
Headquartered in Boston, with offices in San Francisco, Berlin, Cologne, Hamburg, Karlsruhe, London, Munich, and Zurich.
Most teams collaborate across several offices and meet every 1-2 months. Transfers between offices are possible. English is the working language in all of our offices; German is an asset.
Our culture
QuantCo offers a fast-paced environment that values ownership and personal growth. We asked our colleagues to describe our culture:
Life at QuantCo
We enjoy spending time together. From the day you join, you will be part of an active social culture that encourages you to explore new horizons.
Bootcamp
Our bootcamp will help you get oriented both technically and socially at QuantCo, with modules introducing our different teams, opportunities to meet the founders, and plenty of time to bond with your cohort and new colleagues over food, boat rides, and other fun activities.
Team Days
Regular meetups in different offices to spend time with your team, align on new ideas, and explore new places.
Office Life
Vibrant atmosphere with informal events — welcome dinners, foosball, escape rooms, and more.
Seasonal
Summer and holiday-themed parties where colleagues from several offices come together to celebrate.
Frequently Asked Questions
Application Details
Where can I apply?
Please apply through our job site. If you are interested in a position not listed, please send your resume to join@quantco.com.
Can I apply for a particular team?
Our job site showcases the wide breadth of opportunities available at QuantCo. Because most of our teams collaborate across multiple offices and locations, we recommend simply applying to the role you find most exciting. We review every application globally and will map you to the team that offers the best learning, mentoring, and profile-matching opportunities during our first conversations with you.
Do you make exploding offers?
No. Our offers do not come with a deadline.
Interview Process
Are there any deadlines or start dates?
We accept applications year-round and have no hard deadlines—plus, we're completely flexible on when you start. Just try to apply at least three months before your ideal start date so we have plenty of time to get through the interview rounds.
How long will the interview process take?
Generally, we adapt our interview processes to your schedule and can expedite it in urgent cases. Most interviews last around one hour. The Final Interview Day combines several interviews and will be on-site in one of our locations.
What does the interview process entail?
Three stages: Screen, Technical Assessment, and Final Interviews. The latter two typically involve at least one coding challenge. All interviews are conducted by QuantCo colleagues, so you can learn first-hand about our work.
Are there any interview set-up requirements?
Yes, please have a second camera (e.g., a smartphone) ready to show your screen during technical interviews. Setup instructions will be shared in advance.
What should I wear?
No dress code — wear something comfortable.
Who can I contact during my interview process?
Our recruitment team are here to be your guide and ally through your interview process. If you have any issues, would like some advice on how to prepare, or are interested in learning more about your interview panel, never hesitate to reach out to your QuantCo recruiter!
Interview Preparation
Tips to prepare
Brush up on your Python/programming skills and be prepared for a live coding session. You should be able to demonstrate that you can code competently without AI assistance.
Be prepared to discuss previous work experience or personal projects. QuantCo colleagues are interested in understanding what you learned from these experiences, and how deeply you understand the new technologies you encountered.
Ask questions. If you've been asked to build something or answer a complicated question, you should seek clarity with your own follow-up questions!
Example topics
Topics that may be evaluated during your interview:
- Data storageformats and approaches, relational databases, columnar formats (Parquet, Arrow), NoSQL
- Data ProcessingETL pipelines, batch vs streaming, data validation, transformation
- Performanceoptimisation, memory architecture, profiling, caching, concurrency, Big-O complexity
- SystemsCI/CD, testing strategies, deployment, version control, API design
- Observabilitylogging, metrics, tracing, alerting
Tips to prepare
Brush up on your Python/programming skills and be prepared for a live coding session. You should be able to demonstrate that you can code competently without AI assistance.
Read and learn more about real-world AI use cases. Come prepared with an understanding around the challenges and nuances of AI in these settings.
Ask pragmatic, not only technical questions. Demonstrate that you can sensibly translate commercial objectives into technical solutions.
Example topics
Topics that may be evaluated during your interview:
- LLM InteractionAPI calling, call chaining, caching
- Information SelectionOCR, RAG, vector search
- Async Pythonasynchronous Python
- Agentsagents in production
Tips to prepare
Brush up on your stats: Be ready to solve a small statistical case study related to our client projects during our technical interviews. Focus on communicating your thoughts concisely, walk us through your logic, and don't hesitate to accept hints from your interviewers if you get stuck.
Set up your environment: For our coding challenges, review your data wrangling and applied machine learning skills and practice with some Kaggle cases. Make sure your favorite data science libraries are installed and your analytics environment is ready to go in advance—and yes, you are welcome to use AI coding assistants during most of the challenge.
Example topics
Topics that may be evaluated during your interview:
- Statisticsdistributions, estimation, testing, standard error
- EconometricsOLS, causal inference, experiment design
- ML theorysupervised/unsupervised learning, tree models, GLMs, boosting, loss functions
- Optimizationhyper-parameter tuning, gradient descent methods
- Properties of functionsmonotonicity, continuity, convexity
Reference materials and courses
Coding
Think Python by Allen Downey, and The Missing Semester of Your CS Education by MIT. Kaggle offers great challenges for hands-on experience.
Machine Learning
- Introduction to Statistical Learning — James, Witten, Hastie, Tibshirani
- The Elements of Statistical Learning — Friedman, Tibshirani, Hastie
- Computer Age Statistical Inference — Efron, Hastie
Econometrics & Causal Inference
- Mastering 'Metrics — Angrist, Pischke
- Mostly Harmless Econometrics — Angrist, Pischke
- Introductory Econometrics — Wooldridge
Online Courses
- Statistical Learning — Hastie & Tibshirani (edX)
- Machine Learning — Andrew Ng (Coursera)
- Data Cleaning, Machine Learning, Advanced Pandas (Kaggle)
- Stats 110 — Harvard University (YouTube)
General Questions
How much client interaction can I expect?
As much as you want. We maintain regular contact with our clients. If client interaction interests you, consider a team lead position after working with us for some time.
Will I get specific training?
Yes! All new joiners join a Bootcamp. Once onboard, you can join research groups, seminar series, or take modules at our internal Academy — taught by experienced colleagues and professors from leading universities. All new joiners partner closely with existing colleagues when they join and are extensively trained on our techniques and codebases.
Do I have to relocate?
No, you can work in any QuantCo office as long as you can meet with your team in other locations when needed.
Internships
How many internship positions do you have each year?
In general, there is not a fixed amount of internship slots.
What support do I get with an internship abroad?
We provide support in many ways including but not limited to help with working authorizations, travel bookings, accommodations, etc.
How long are the internships?
Most internships require a minimum 10-week long commitment. Longer commitments are possible and we had interns staying with us for an entire year.
Will I get specific training as an intern?
Interns start with a week-long QuantCo Bootcamp, hands-on data science and engineering courses taught by our most experienced colleagues. Additionally, the teams and your mentor will provide extensive onboarding and training opportunities. You can also attend our internal seminars, hackathons, and similar events.
Get in touch
If you have any further questions or want to get in touch with us about job opportunities, we would love to hear from you.