Aegis UK is a Research & Selection company focusing on the search and selection of professionals across different industries. On behalf of a financial software house, we are now looking for a:
Quantitative Developer
Team Overview
Stream Financial, a young company based in South East London, is developing high performance software for enterprise level data aggregation, analysis and reporting within large Financial and other data intensive organisations. The team have built and continue to extend a large mixed technology code base which has been created with an uncompromising focus on performance. The team has been engaged by a number of clients who wish to enhance their data management capabilities and is motivated to deliver on time at the highest quality. The company is looking for additional staff in order to grow its customer offerings in both consultancy and data processing software solutions.
The Role
Lead Developer specialising in Quantitative Market data related projects to join a client project within a tier 1 global bank.
Successful applicant will be required to work within a small engineering focussed team interfacing with the client’s London based risk analysts, business analysts and developers. The project goal is to build a Risk and Finance library which interfaces with the Banks internal quant libraries and to replace the existing system with a new Market Data platform.
The team will work closely with globally based corporate development teams to ensure the platform is fully integrated into the bank from both upstream and downstream perspectives.
This is not a quant role; it is a development role for a Java quant integration developer to incorporate a C++ library into a custom built webservice.
The team practises agile software development and following induction training the successful candidate will be expected to hit the ground running, bring ideas to the table and make a positive impact from day 1.
The successful candidate will be involved in building, testing and maintaining software applications that aggregate, store, process and disseminate business information in support of defined business processes including:
- Client focussed reporting systems
- Diversified and large data sets
- High volume data flows
The Candidate
The ideal candidate will be educated to degree level or higher in mathematics, data science or another numerate discipline and have at least four years’ experience working in risk analytics or front office roles within large financial services organisations.
Essential skills:
- Highly numerate
- Proven track record of delivery
- Java SE development
- Strong SQL knowledge
- JIRA experience
- Good understanding of pricing and risk management techniques including VAR and yield curve construction
- Problem solving mindset
- Good interpersonal skills
- Able to work as part of a team and manage own workload.
- Proactive, resilient and adaptable to change
Preferred skills:
- Corporate bond pricing or credit derivatives knowledge
Aegis UK is committed to equality of opportunity for all staff and applications from all individuals are encouraged.
Aegis guarantees equal opportunities
