Quantitative Software Developer
vor 2 Monaten
We are seeking a skilled Quantitative Software Engineer to join our core, international Agile development team in Zurich. As a key member of our team, you will be designing and implementing the core business logic of our Market, Liquidity and Asset/Liability Risk Management solution.
Our technology stack is based on C#/.NET, with Microsoft SQL Server as well as MongoDB, Cloud-based elastic computations featuring Akka.NET, Docker and Kubernetes, as well as both Windows and web-based applications forming the foundation of our market-leading Risk Management solution.
About the TeamWe are a dynamic multinational Software Development team embedded in a large and globally operating corporation. Together with our Consulting Services organization, we help some of the largest companies in the world to break new ground in their Risk Management and controlling processes.
What We Offer- A successful team working for a successful product
- A fast-moving Agile environment with great international and interdisciplinary teams
- Exposure to the latest technologies
- The freedom to work from home
- Access to trainings via Pluralsight, LinkedIn and more
- An opportunity to learn from real experts in financial risk management
- Social events and release parties
- Design, implement, debug, and improve quantitative algorithms for our risk management enterprise application using C#/.NET 8
- Assist business analysts and consultants with in-depth knowledge about financial modelling
- Refactor and maintain our code base to ensure long term sustainability and high quality
- Profile and optimize code to improve execution performance or hardware requirements
- Validate and ensure correctness of results
- Bachelor's degree in appropriate subject, e.g. computer science, mathematics or physics
- Experience as Software Engineer working with C#/.NET
- Strong interest and working experience in financial engineering (risk management)
- Dedication to sound software architecture and clean code principles
- Fluency in English (full professional proficiency)
- Experience with working on a complex financial application
- Experience in working within a scrum team
- German language skills
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