Senior C# Developer with Fintech experience
Please mention DailyRemote when applying
AI Summary
On behalf of our client – a global financial institution – we are looking for an experienced specialist for the position of Senior C# Developer.
ABOUT THE PROJECT & TEAM: You will join a distributed, international team responsible for the development of core systems in the areas of XVA, Liquidity, and Financial Resource Management. The project is currently at an exciting turning point – migrating to a modern, highly advanced event-driven architecture on the back-end side. The developed UI tools support the daily operations of hundreds of users in a dynamic market environment. We work in a collaborative, agile environment with a strong emphasis on clean code and software craftsmanship.
\n⚙️ TECH STACK:
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Language & Frameworks: C# .NET, Windows Services, ASP.NET Web API, SignalR
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Communication: Asynchronous message-driven communication (Rebus)
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Databases & ORM: MS SQL, ORM (Dapper)
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Tools & DevOps: GIT (Bitbucket), TeamCity, Jenkins, Ansible
🎯 REQUIRED TECHNICAL COMPETENCIES:
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Deep understanding & experience: OOP, patterns, principles.
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Deep understanding & experience: .NET C# and its ecosystem.
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Deep understanding & experience: service-oriented architectures.
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Deep understanding & experience: MS SQL.
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Demonstrable experience: DevOps tools.
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Understanding of LLM capabilities in software development; practical experience with agentic AI engineering in an enterprise environment.
💼 FUNCTIONAL / FINANCIAL KNOWLEDGE: Candidates are required to have expertise in at least 2 areas from the following list:
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Financial products (Listed / OTC)
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PnL Explain, risks (Delta, Gamma, Theta, Vega...)
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XVA (CVA, FVA, ColVA...)
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Liquidity Risk (RNFB, NSFR...)
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Cash Forecasting
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Balance Sheet Metrics (Leverage Exposure...)
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Pre-trade calculation and booking workflow
🌟 NICE TO HAVE:
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Web development experience: HTML, JavaScript / TypeScript, React, Redux.
💡 CONDUCT & ATTITUDE EXPECTATIONS:
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High autonomy combined with excellent teamwork skills.
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Excellent communication, analytical, and organisational skills.
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Attention to detail (especially under time pressure).
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Proactive, flexible approach to daily engineering challenges.
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Motivation to work directly with front-office IT.
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Integrity and discipline.
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Role model supporting a culture of good conduct.
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Proactivity, transparency, and accountability in managing conduct risks.
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Considering the impact of decisions on colleagues, partners, and clients; escalation in case of doubts.
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