Java Quantitative Developer - iSAM Securities

iSAM is an innovative, financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group’s bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role: ISAM Securities trading platforms are entirely owned and build by in-house teams. We typically use Java (and C++) for server-side development with KDB and Postgres data storage, with financial modelling done in Python. The platforms are under active development, and entire areas are being re-implemented from the ground up. All work in this team is on the critical path – we handle more than 4T USD annually –everything counts! Responsibilities: As part of the small, highly skilled ISAM Securities Quantitative Development team, you will be expected to: Build ultra high-performance front-office software for pricing, execution and risk management. Work closely with our quantitative research team to reliably implement models in a scalable and HA fashion. Develop in a manner to reflect the 24x7 operation of our trading platform, including distributed systems design and the deployment of software releases whilst trading Qualifications: Outstanding Java coding with an interest in finance and technology. Experience of very high performance zero-GC and lock free software engineering in Java. Experience of and understanding of the LMAX set of open-sourced software tools (Aeron, Disruptor, SBE, Artio, Agrona). Experience of solving HA problems and distributed systems challenges is useful (especially Aeron cluster / Raft). Any knowledge of Python/C++ and scientific computing would be advantageous. Pragmatic mindset with strong problem-solving abilities. Excellent attention to detail and organisational skills. Self-motivated with ability to work with minimal supervision. Personal Attributes: Enthusiasm. Strong communication skills. Ability to work collaboratively. Attention to detail. Ability to adapt in a rapidly evolving environment.