As a tech and research driven trading firm, we build models, platform and risk frameworks that price risk, execute trades and provide liquidity across global markets.
Our trading decisions begin with a deep, quantitative understanding of markets. We use advanced statistical modelling and machine learning to uncover patterns in complex data, allowing us to price assets accurately across all market conditions.
Our technology translates quantitative research and market insights into real-world trading outcomes. We build the robust systems and shared infrastructure required to test ideas quickly, deploy improvements safely and operate consistently as we scale across products, venues and regions.
Our integrated trading teams optimise execution, balance risk and opportunity and work closely with researchers and engineers to build the systems and models that drive live trading performance.
We invest in data, infrastructure and control frameworks so our platform remains resilient as it grows. Risk management is embedded in how we price, execute and expand, helping us operate with discipline in fast-moving markets.
years of continuous trading experience
global exchanges
financial instruments priced
trades executed per day
We provide bespoke liquidity solutions for banks, brokers, and institutional clients through our dedicated sales and trading teams.
Partner with a strategic investor that brings decades of trading, technology and market expertise to help scale companies aligned with our core mission of improving the market.
Help solve some of the most complex challenges in financial markets. Join a team where intellectual rigour and engineering excellence make a measurable impact.
We sat down with Pat Cooney, Head of Platform Engineering, to talk about what Platform Engineering means here and where agentic AI fits into the picture. Pat has spent over a decade at Optiver across markets, regions, and roles.
When people talk about developer productivity, they often jump straight to tools: powerful coding agents, faster compilers, smarter automation. These things matter, but they are not the whole story.
In most systems, the database acts as a boundary. You write data into it, and other systems read from it. If you need something more dynamic, like reacting to changes as they happen, you usually introduce something alongside it, whether that is a service layer, a queue, or a stream.
Large language models (LLMs) are getting surprisingly good at learning the basics of trading. Consider that the latest models are able to perform tasks like pricing simple scenarios, reasoning through rules and even outlining basic strategies.
In a series of articles, we’re exploring the development of single-stock options markets across the APAC region. Our aim is to highlight the many uses of the products as well as factors that may be acting as barriers to growth.
Optiver, a leading global market maker, announced a strong set of financial results for the year 2025, as the company marked its 40th anniversary.
