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The Firm XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 300 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing well over 25,000 GPUs with more than 1 exabyte of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role The Information Security team at XTX Markets is accountable for all aspects of the firm’s IT security. From obtaining and transforming events and signals into actionable intelligence, to helping design and implement authentication and authorisation systems, and other security tools that underpin the XTX environment. The team also assess third party security, as well as working diligently to keep XTX in compliance with a range of world-wide regulatory information security requirements. Our Security team works to create and maintain the safest operating environment for XTX Markets users and developers. In this role, you will work with software engineers to proactively identify security flaws and engineer technical solutions to a defensive mindset. This is a hands-on role. XTX prides itself on its ability to create and maintain software and systems that precisely meet our needs. We handle information at large scale and across multiple locations, so we need to anticipate and protect against attackers. You will work closely with teams to improve our detection capabilities, and to design defence-in-depth controls that limit attackers' ability to move inside our network. Responsibilities At XTX, security engineers are engaged in requirements gathering, architecting, prototyping, and developing both internal tools and broader infrastructure in conjunction with partner teams around XTX. The successful candidate will be expected to work across a broad range of security roles and projects, including compliance related tasks. Essential Attributes Approximately one to three years’ experience in Information Security. Proficiency in at least one statically typed language; development at XTX is primarily in Golang, though previous experience in Go is not a pre-requisite. Scripting is mainly in Python. Knowledge of how systems are built as well as how to break them. Strong communication and interpersonal skills. Able to write clearly and succinctly. Rapid learner with strong attention to detail. Able to work autonomously and prioritise as required. Willing to admit mistakes and seek feedback to improve performance. Desirable Attributes Personal projects which you can show or talk about. Experience playing CTFs. Security certifications demonstrating practical ability, e.g. OSCP. Benefits Onsite gym, sauna, and fitness classes at no charge (Wellbeing Space) . Extensive medical benefits including an on-site doctor and therapist at no charge. Breakfast and lunch provided daily. Various supports for caregivers, including emergency dependent care. Beautiful King’s Cross office: (Office Tour) . 25 days paid holiday per year + statutory holiday and paid sick days. Generous Pension contributions. We work 4 days per week in the office, 1 from home unless stated otherwise.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.