What’s exciting about working in your team? It’s also worth me mentioning that I really look for people who want to solve complex business product problems and who aren’t only focused on solving technical problems. This is something our team LOVE and we think anyone who joins the team will feel the same. Our fully automated SDLC is hooked into Github and containerization with peer review as a single approval step. Other technologies we use include our engineering environment Beacon.io (Mongo, Redis, python, VSCode editors, BPMN, and lots of opensource), REACT and we’re also expanding into API’s as external services. Python skills are important and I would say are a must. If someone is skilled in either analytics or engineering with an interest or enthusiasm for financial markets we can set them up for success our team. It’s often a challenge to find people who tick every box! What are the key skills you’re looking for in your team? The roles within my team require a pretty unique skill set – the ideal person would have experience in financial mathematics, software engineering and have a practical understanding of global financial markets. The project has helped our clients achieve better financing rates because of our increased ability to accurately price their portfolios. In this case we’re reducing the future costs of scaling out business 10 fold. We lowered operational risk by doing this in a fully auditable fashion and have increased scale by delivering analytical API’s that can enable our clients. Systematic IB&M are automating the asset financing business. Tell us about a solution/project which your team worked on that highlights what you do We automate and digitise to systematically drive growth, reduce costs, and reduce operational risk. Use cases range from asset financing in commodities and business banking, systemizing our primary issuance process as well as creating insights for fixed income specialist and sales across Global Markets and Research. We develop scalable applications that help IB&M to increase revenue and reduce operational costs. Systematic IB&M focusses on digitisation of processes, automation and quantitative analytics across IB&M. We had a chat with David Dawson who heads up the growing Systematic IB&M team about why this is such an exciting team to be part of, the unique skills they look for and how they’re innovating at speed with true agility. The Quant, Data, Analytics and Technology (QDAT) function is a division of Institutional Banking and Markets (IB&M) that combines key capabilities to drive the IB&M strategy.
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