Senior Risk Analyst Developer C# (VP)
Location London
Background
- The Risk software development team requires an agile and versatile specialist and team player with extensive expertise in .Net/C# software and a strong knowledge of SQL.
- The role requires an experienced individual who is comfortable to work in close partnership with a variety of front office stakeholders, globally.
- The team member is expected to be very well versed in, and keep up to date with, a multitude of new technologies. The role requires a thorough understanding of development and architecture best practice coupled with a good working knowledge of IT General Controls.
Facts / Scale
• This role is a key delivery team member for the Risk / RMD Business in EMEA. Working with the Product Owner and the development team, it is responsible for delivering sound, well designed and technically advanced solutions to our business users.
• The role requires design and development of new software, integration with vendor systems, participating in on-call rota support and following and expanding the established SDLC processes.
• It actively endorses and promotes Diversity and Inclusion opportunities across the board.
Accountabilities & Responsibilities
• Responsible for effective and efficient running of the Credit and Market Risk systems, integrated into the wider environment to meet the needs of trading desks.
• Delivering fast-paced agile high quality software changes and solutions, help running Scrums, Sprints and creating and deploying Releases.
• Providing guidance and advice on .Net, .Net Core, C#, and other development tools and languages, their usage and upgrades, and leveraging them to maximise the business benefit.
• Frequent .Net/C# tasks such as delivering new projects, improving and optimising the current setup, providing future-proofing guidance on all relevant data points.
Knowledge, Skills, Experience & Qualifications
• Core Development Languages covering .Net Core, C#.
• Transact SQL (preferably SQL Server).
• Experience in financial industry.
• Strong numerical and financial skills with the ability to interpret financial information and able to design and use of financial models.
