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Optiver

Graduate Quantitative Researcher (2027 Start)

London
Posted about 22 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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
  • 27 paid vacation days plus all UK public holidays
  • Daily breakfast and lunch, along with support on commuting expenses
  • Private medical insurance, pension scheme, and ClassPass fitness membership
  • Training and continuous learning opportunities
  • International transfer opportunities for global career growth
  • Competitive relocation packages and visa sponsorship where necessary for expats

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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.

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Skills

Mathematics
Python
C
C++
Java
Machine learning
Deep learning
Probability
Calculus
Linear algebra
Statistical modeling
Data analysis
Financial modeling
Quantitative research
Problem solving

Location

London, England, United Kingdom

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