C# Developer - Reference Data
Hybrid
London, United Kingdom
Full Time
15-01-2025
Job Specifications
Referment are working closely with a top multi-strategy hedge fund who are looking to onboard a C# Engineer on the Reference Data team WHO will design, build, test, deploy, and maintain critical reference data systems within the firm. The role focuses on C#, .NET, .NET Core, distributed systems, SOA, and large data schemas, requiring a strong understanding of software lifecycle and microservices design. The engineer will collaborate with business and technical teams, participate in code reviews, troubleshoot issues, and stay current with emerging technologies. The role demands both independent and team-based work, excellent communication skills, and a keen interest in learning the business side.
Key Responsibilities:
Collaborate with users and stakeholders to translate business needs into software solutions.
Develop and manage multiple reference data systems within a highly collaborative team.
Focus on performance, risk mitigation, and timely solution delivery.
Provide ownership and innovative input on technology solutions.
Troubleshoot application issues and bugs, while staying updated on industry trends.
Balance development with support responsibilities in a fast-paced environment.
Key Qualifications:
Expertise in C#, .NET, .NET Core, and multi-threaded programming.
Experience with microservices, cloud technologies (AWS, Azure, Snowflake), and service-oriented architecture (REST, WebApi, JSON).
Familiarity with Agile, SQL, GraphQL, messaging/streaming technologies (Kafka, MQ), and DevOps practices.
Strong testing background, communication skills, and ability to handle high data volumes.
Preferred Skills:
Experience with enterprise caching, behavior-driven development, web development (React/Angular), Python, and financial markets (Equities, Fixed Income, Commodities).
Familiarity with Bloomberg and trading workflows is a plus.
About the Company
Referment is an innovative award winning recruitment business, built for the Financial Services sector, we use a peer-to-peer sourcing model to identify the best candidates for the right roles. Our approach to recruitment is aligned with creating a collaborative economy. We are focused on rewarding our network of expert referrers for recommending high quality people to us, so everyone benefits. This approach is much more effective and efficient at finding the best match between candidates and roles, allowing us to spend mo... Know more
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