Join one of the world’s most advanced algorithmic trading arenas, with a strong history of success and a great reputation for treating their employees extremely well. You’ll be working every single day alongside the brightest minds in the trading space, in a state-of-the-art office with access to everything you need, whether that’s going to the gym, taking a break in their on-site sauna or even seeing the on-site doctor. In an operations role here, you'll gain exposure to every part of the business. Early on, you'll have the chance to take charge of processes. Strong coding skills are crucial for this role. Automation of post-trade activities is key here as they execute millions of trades daily. With support from the team, you'll refine and develop new processes using technical skills like Python, Go and SQL. You'll also address a variety of daily challenges, requiring frequent interaction with other teams and external partners. On top of the technical skills, strong business knowledge is required - you'll need a few years of operations experience across a wide range of asset classes, relating to Middle-Office processes (reconciliation, PnL, risk, treasury etc.). Everything this firm do has some form of mathematical backing - a STEM background would see you fit in well here. If you'd be interested in learning more, apply now or email me at adamb@saragossa.co.uk

Work closely with one of the Partners and use every single scientific method you’re aware of to have the best impact on PnL. You’ll be working closely with fundamental PMs and you will immediately become an integral part of the investment team. Every single person is valued here and as part of the lean team, maximizing the usage and outcomes of the research infrastructure is a key reason why this fund performs well year after year. There’s a great approach taken here to use all aspects of experience, science, and technology to make investment decisions. Because of this blend, everyone is given responsibility and are trusted to make decisions and share ideas that will make the impact they desire. Your day to day will involve working closely with the partner mentioned above, and the wider team, which is small currently but growing steadily. From identifying and onboarding new data sources – whatever you need to get your job done – to creating new research strategies/ideas, you will be encouraged to innovate, to get the edge over competitors and contribute to the firms central book. In terms of your experience, you’ll need to be coming from a strong quantitative research background already. This could be either buy or sell side, but it’s likely you’ll have some systematic trading experience and cross asset or equities experience. You absolutely must be a strong programmer and Python is preferred here. You’re going to be joining a fund where data powers every single thing that they do. Performance is always strong and you will be expected to hit the ground running. Compensation will be based on overall performance and with that in mind, we’re keen to keep it completely open as there is no set budget. If you’re looking for a complex challenge where you can innovate in the quant space, let’s talk. No up-to-date CV required.

Grow into a leader, mentor more junior quants and implement your strategies across futures markets. You’re going to be coming into the mid-frequency team here, focused on systematic futures. It’s a fully automated trading system that trades across various asset classes, but you will focus on commodities systematic trading research. Mid-frequency futures are a huge area of growth this year and you’ll become the specialist to in this area over time. There are all kinds of growth potential here, with the growth of the business in London accelerating over the past few years. As a mentor, you’ll have the chance to grow into a leader if this is something you desire. Management isn’t the only route if you’d prefer to stay hands-on research focused. With that, of course, will come the chance to earn far beyond the expected first year total compensation of up to £500,000. You’ll be given plenty of freedom to produce your own research of new signals and you’ll be given the full support to implement them within the trading system. You’ll also be encouraged to look at current strategies in production and suggest improvements and making suggestions on other markets where your strategies can be used. Improvement and progression are a way of life here. In terms of your experience, you’ll need to be a seasoned quant researcher or trader in the systematic space and of course you’ll need to have a strong quantitative academic background. The codebase here is predominantly Python, that’ll need to be your coding language of choice. This is a global firm with a history of success of over 15 years. They’re focused on teamwork and collaboration and insist that ideas are shared between teams, understood, and then put into production. You can be part of a close-knit environment where everyone is keen for you to succeed. First year total compensation is expected in the range of £500,000 but there could be flex on this depending on previous performance and experience. Ready to make the next step in your career and build a future for yourself (no pun intended)? Get in touch. No up-to-date CV required.

Senior Infrastructure Engineer - Investment Manager | London Would you like to be instrumental in a brand new migration and have the chance to completely modernise the firm's technology? How does a role with massive growth potential sound? Does a chance for endless learning excite you? As an Infrastructure Engineer, in their small, dynamic team, you'll work directly with the CTO, driving critical infrastructure projects that will shape the future of their firm. Alongside this, the role is centred around the infrastructure, supporting, automating, and standardising their current systems. The firm has been at the forefront of investment strategies for decades, blending tradition with a forward-thinking approach to finance. Under newly appointed leadership, you will lead the migration of their legacy systems to the cloud, primarily utilising the Azure and Microsoft stacks, and also be an important part of a three-person team, providing support in all aspects of the firm. You will likely have experience with across Azure AD, Microsoft Stack, Powershell/Python Automation and potentially a background in the buy-side finance space; however, this isn't essential. Hybrid: 3 Days a week onsite, Mayfair £100,000 + 15% Bonus + 10% Pension (Rising to 15%) No up-to-date CV is needed; we can work on this together.

How many models have you put into production? This is your opportunity to see how your models can have a direct impact on a leading commodities trading firm. You will be joining a centralised team, collaborating with some of the best data scientists and traders in the world. So, who would be the right fit for this role? Firstly, you should have a background in commodities. This doesn't necessarily have to be from trading, but you should have exposure to the oil and crude markets. In terms of the models you will be building, they need to be advanced, including techniques such as Decision Trees, XGBoost, LSTM, etc. The firm is offering a base salary of up to £130,000, along with a substantial bonus on top of that. However, this can be flexible for the right person. If this sounds like you, please get in touch!