Jan Strømme, the former Global Head of Distribution at XTX Markets, has embarked on a new journey with Coral Reef Technologies as the Business Development Manager.
Strømme’s career move was shared on LinkedIn, where he expressed enthusiasm about his new role.
He stated, “I am happy to announce that I’m working with Coral Reef Technologies LTD and the Final (Financial Algorithms) group of companies, as a Business Developer for Spot FX, and building out our reach in FX trading in general, with trading and liquidity (making and taking) relationships globally, on any and all FX venues!”
He further emphasized his long-standing relationship and admiration for the team at Final, highlighting their prestigious standing among proprietary quantitative trading firms.
Coral Reef Technologies specializes in the financial sector, leveraging advanced algorithmic trading technology.
The company’s dedication to proprietary algorithmic-trading technology underscores its innovative approach to financial services, according to its LinkedIn profile.
Before joining Coral Reef Technologies, Strømme played a pivotal role in founding Alphaplate, a market-making platform.
His tenure there lasted six years, during which he contributed significantly to the London-based company along with a small team.
Strømme’s extensive experience also includes positions at FX Alliance, DNB, and Thomson Reuters, marking a diverse and impactful career in the financial industry.
In related news, XTX Markets has recently launched an AI Residency Program under its new division, XTY Labs.
This program is designed to push the boundaries of algorithmic trading research by incorporating machine learning.
The initiative is structured around Junior and Senior AI Residents, offering a deep dive into cutting-edge research for durations ranging between 6 and 12 months.
Under the guidance of Dr. Atlas Wang and the XTX quantitative research team, participants will explore innovative strategies in algorithmic trading.
The program targets individuals on the verge of completing a Ph.D., with a strong emphasis on research excellence and a thorough understanding of modern deep learning frameworks.
Candidates are expected to exhibit proficiency in foundational model development and the management of extensive datasets, aiming to cultivate a new generation of experts in algorithmic trading technology.