When Speed and Scale Collide

Data systems are often described along two axes: speed and scale. In practice, “speed” usually means some combination of latency and throughput, and systems are often optimized for one at the expense of the other, sometimes by trading efficiency for raw capacity. Those distinctions tend to break down quickly once systems move beyond simple use […]

Real-Time Trading Dashboards with Databricks Apps and Dash

Learn how Optiver built real-time trading dashboards using Databricks Apps and Dash. Discover the architecture behind low-latency, scalable insights for fast decision-making.

Inside Optiver’s Institutional Trading Team

Ask five Institutional Traders how they got here, and you’ll get five different answers. Traders from Optiver’s Institutional team share their diverse paths, how they use their unique backgrounds every day, and practical advice for anyone considering the role.

From FutureFocus to Optiver’s quant trading internship

FutureFocus is an educational program that gives students an inside look at the challenges our technology, trading, and research teams face everyday.

Research at Scale: Orchestrating ML for Systematic Trading

Adapted from a technical talk by Rob Hahn, this article explains how systematic trading relies on fast, reproducible research cycles and the engineering decisions that make those cycles work at scale.

Choosing between free threading and async in Python

As host of this year’s first PyAmsterdam Meetup, Optiver welcomed the local Python community back to our headquarters for an evening of tech talks, networking and knowledge sharing. To open the event, Optiver Senior Software Engineer and Team Lead Samet Yaslan delivered a timely talk for developers working on performance-critical systems: “Choosing Between Free Threading and Async.” Prompting his choice of topic was a recent change in CPython, as Samet explained: “Beginning with version 3.13, CPython introduces an option for a build known as free threading, where the Global Interpreter Lock (GIL) is removed. The question is: With the GIL gone, do we still need async in Python?” Here’s how he breaks it down, and what it means for your next Python project.

Career Kickstarter Tech: The ‘why’ behind every trading system

At Optiver, our engineers work on some of the most advanced systems in the world, solving unique challenges that combine performance, efficiency and real-time decision-making. Our Career Kickstarter: Women in Tech program invites aspiring female-identifying engineers from across Europe to explore how their coding and problem-solving skills apply to real-world challenges in financial markets. We […]

Optiver EU campus recruiting Q&A

Interning on Optiver’s Austin HFT Team

Former software engineer intern Ethan shares what it was like to build production systems on Optiver’s Austin high-frequency trading team.

Why DevEx matters to Optiver

Optiver’s Global Head of Developer Experience, Cian Lane, shares how DevEx boosts productivity firm-wide: 30% faster CI builds and onboarding cut to minutes.