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C# Data Engineer (Risk)- Tech-Driven Global Hedge Fund


Job details
  • Oxford Knight
  • London
  • 4 months ago

C# Data Engineer (Risk)The Client

One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment.

The Role

Looking for a highly motivated and experienced engineer to join the Risk Data team, this role offers the opportunity to expand your current skillset creating state-of-the-art tools for a range of data-related activities, including onboarding, analysis, sourcing, quality checking, and lifecycle management.

You'll collaborate with Risk Officers as well as analysts, quants and engineers, delivering risk solutions for specific engine/strategy requirements or for the wholepany. You'll also design and develop solutions to solve big data challenges (200 terabyte of data).

The majority of thepany's systems run on Windows and most code is written in .NET (C#); their first data storage is in SQL Server, and they're starting to use ArcticDb for larger datasets. But they're also constantly evaluating new technologies, tools and libraries.

Requirements

Expert programming experience (ideally in .NET) Understanding of the challenges of dealing with large datasets (structured and unstructured) Solid Windows platforms experience with various scripting languages, and exposure to Linux environments Knowledge of modern practices for ETL, data engineering and stream processing Degree with high mathematical andputing content -puter Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Working knowledge of one or more database technologies, SQL Server


Nice to have
Prior experience of working with financial market data or alternative data Relevant mathematical knowledge statistics, time-series analysis Experience with Python, Kubernetes, S3 or Kafka
Benefits
Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annualpany trips and team offsites

Contact
To apply for this role, or for further information, please contact:

Maia Ellis


linkedin/in/maia-ellis-38a577193

Job ID ZxmGHN6KAbQE

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