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

eFinancialCareers; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Join a leading hedge fund as an engineer in their Risk Data team, working in a collaborative and innovative environment. This role offers the chance to tackle big data challenges, develop sophisticated tools, and work closely with financial experts. Candidates should have strong programming experience, preferably in .NET, and a relevant degree. Benefit from a competitive salary, generous bonuses, and numerous extra perks in a friendly London office.

Benefits

Competitive salary + generous bonuses

Personal development allowance and sponsorship

Central London office

Flat-structured, transparent environment

Regular social events and annual trips

Qualifications

• Expert programming experience, ideally in .NET.
• Solid understanding of data engineering practices.
• Working knowledge of database technologies like SQL Server.

Responsibilities

• Design and develop tools for data onboarding, analysis, and quality.
• Collaborate with Risk Officers and analysts to deliver risk solutions.
• Address big data challenges, managing around 200 terabytes of data.

Skills

Programming in .NET

Understanding of large datasets

Windows platforms experience

Knowledge of ETL and data engineering

Education

Degree in Computer Science, Mathematics, Engineering, or Physics from a top-tier university

Tools

SQL Server

Python

Kubernetes

S3

Kafka

Job description

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 whole company. You'll also design and develop solutions to solve big data challenges (200 terabyte of data).

The majority of the company'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 and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university
• Working knowledge of one or more database technologies, e.g. SQL Server

Nice to have

• Prior experience of working with financial market data or alternative data
• Relevant mathematical knowledge e.g. statistics, time-series analysis
• Experience with Python, Kubernetes, S3 or Kafka

Benefits

• Competitive salary + generous bonuses
• 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 annual company trips and team offsites

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

Maia Ellis
[e-mail]
020 3745 6539
linkedin.com/in/maia-ellis-38a577193