Graduate Quantitative Researcher (2027 Start)

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
Entry level
Fintech • Quantitative Trading
The Role
Join as a graduate quantitative researcher to design, build, test and deploy statistical and machine learning models for pricing, forecasting and signal discovery using large-scale market and unstructured data. Collaborate with researchers, traders and engineers to monitor production models, refine assumptions, and accelerate research-to-production using AI-enabled workflows.
Summary Generated by Built In

If you enjoy using mathematics and code to investigate difficult questions, you could make a direct contribution to Optiver’s success in global markets. As a Graduate Quantitative Researcher, you’ll work across the full research process, from framing the question and choosing the data to building, testing and deploying models. Machine Learning is central to the work, whether you’re extracting signals, forecasting prices or modelling relationships. Our data, compute and production infrastructure let you test ideas quickly, understand where they fail and decide what to investigate next.

Our researchers believe in academic discourse and invite fellow researchers, traders and engineers to challenge each hypothesis. Different perspectives help improve the question, the model and how it performs in production. Through constant testing, analysis and refinement, you’ll help our quantitative models adapt as markets evolve.

WHAT YOU’LL DO

Your onboarding 

You’ll participate in Global Optiver Academy, a structured onboarding programme for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business. 

Your responsibilities 

Depending on the team you join, you'll own the research end to end. That could include:

  • Building models for pricing, forecasting and signal discovery, choosing the statistical, mathematical or Machine Learning methods that best fit the problem.
  • Working across petabytes of market, order-flow and unstructured data to find signals that improve strategies as conditions change.
  • Monitoring models in production and using live behavior to refine your assumptions and decide what to investigate next.
  • Using deep learning and AI-enabled workflows to shorten the loop from hypothesis to evidence.
  • Working directly with researchers, traders and engineers to shape problems and understand how system constraints affect performance.

WHO YOU ARE

We're looking for aspiring Quantitative Researchers who are versatile and creative in innovating and suggesting new solutions. In return, we'll give you the freedom to pursue your ideas and implement them right into our production systems. 

In terms of skills and qualifications, we're looking for:

  • An academic degree in Engineering, Physics, Maths, Econometrics, Computer science or equivalent, with outstanding academic achievements
  • Programming experience in any language (preferably Python, but C, C++, Basic, JAVA, etc. are also a plus)
  • Ability to apply concepts of probability, calculus and linear algebra
  • Competitive attitude and eagerness to constantly improve
  • Ability to learn quickly
  • Excellent verbal and written English language skills

WHAT YOU’LL GET

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talent colleagues, working collaboratively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

  • A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool
  • The opportunity to work alongside best-in-class professionals from over 50 countries
  • 25 paid vacation days in your first year, increasing to 30 from your second year onwards
  • Training opportunities, discounts on health benefits, and fully paid first-class commuting expenses
  • Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, bi-weekly chair massages, Friday afternoon drinks, a bicycle to explore Amsterdam and much more
  • Training and continuous learning opportunities, including access to conferences and tech events
  • Competitive relocation packages and visa sponsorship where necessary for expats

HOW TO APPLY

Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe?

Apply directly via the form below for the position of Graduate Quantitative Researcher. Please provide us with a CV in English.  Unfortunately we cannot accept applications via email for data protection reasons. 

If your application is selected to proceed to the next round, you will be required to complete online assessments. By submitting your application you are confirming that you will be able to take the assessment within 7 days.

Kindly note that we do not require any assistance from third-parties including agencies in the recruitment of this role. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Diversity statement

Optiver is committed to diversity and inclusion.

We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities. Please let us know if you would like to request any reasonable adjustments by contacting the Recruitment team via the contact form, selecting "Reasonable Adjustments" as the subject of your inquiry

For answers to some of our most frequently asked questions, refer to our recruitment FAQ.

For applicants based in India, our entry route is via the placement office internship hiring season (July/August).

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply after the 8-month cool off period.


Skills Required

  • Academic degree in Engineering, Physics, Maths, Econometrics, Computer Science or equivalent with outstanding academic achievements
  • Programming experience in any language (preferably Python; C, C++, BASIC, Java also a plus)
  • Ability to apply concepts of probability, calculus and linear algebra
  • Experience or familiarity with Machine Learning and Deep Learning methods
  • Experience working with large-scale data (market, order-flow, unstructured data)
  • Excellent verbal and written English communication skills
  • Competitive attitude, eagerness to improve, and ability to learn quickly

Optiver Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Optiver and has not been reviewed or approved by Optiver.

  • Career-Linked Recognition & Rewards Pay is considered highly competitive in trading, quantitative, and engineering paths, with performance-linked bonuses materially elevating total earnings for strong contributors. High performers are described as seeing outsized upside when firm and team results are strong.
  • Healthcare Strength Health coverage is depicted as comprehensive, including medical, dental, vision, disability and life insurance, alongside HSA/FSA options and mental-health support. Some locations note unlimited therapy access through a partner platform.
  • Leave & Time Off Breadth U.S. roles are often described as offering 25 days of paid vacation plus market holidays, alongside generous parental leave. This breadth of time off is highlighted as helping to offset a high-intensity environment.

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The Company
HQ: Amsterdam
1,600 Employees
Year Founded: 1986

What We Do

Optiver’s story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam’s options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management.

Why Work With Us

People at Optiver love challenges, welcome collaboration, and strive to be better tomorrow than they are today. Improving the market is an extraordinary challenge that requires a carefully crafted approach. Optiver provides a collaborative working environment to tackle these challenges. In fact, it is this way of working that sets us apart.

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