Graduate Quantitative Researcher (2027 Start)

Optiverus·Londonjunior

En corto

→Investigas señales en mercados financieros usando matemáticas y ML.
→Desarrollas, pruebas y despliegas modelos con datos a gran escala (petabytes) en entornos de producción.
→Trabajas directamente con traders, investigadores y ingenieros en un entorno de discusión académica constante.

Excellent verbal and written English language skills

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Título universitario en Ingeniería, Física, Matemáticas, Econometría o Ciencias de la Computación con buenos resultados académicos.
✓Experiencia en programación (preferiblemente Python, pero también C, C++, Java, Basic, etc.).
✓Capacidad para aplicar probabilidad, cálculo y álgebra lineal.
✓Actitud competitiva y deseo constante de mejorar.
✓Habilidades de comunicación en inglés (escritas y orales).
✓Capacidad para aprender rápido y adaptarte a problemas complejos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonCC++JavaBasicMachine LearningDeep LearningAI-enabled workflowsStatistical methodsMathematical methods

¿A quién escribirle en Optiverus?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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

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