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

Oxford Knight; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a highly motivated engineer to join their Risk Data team. This exciting role offers the chance to work on cutting-edge tools and solutions for managing extensive datasets in a collaborative and innovative environment. You'll engage with a talented team, tackling big data challenges while contributing to the development of risk solutions that impact the entire organization. If you're passionate about technology and eager to expand your skillset in a supportive culture, this opportunity is perfect for you.

Benefits

Competitive salary

Generous bonuses

Personal development allowance

Sponsorship for training

Central London office

Collaborative environment

Regular social events

Annual company trips

Team offsites

Qualifications

• Expert programming experience in .NET with a focus on data-related activities.
• Strong understanding of large datasets and modern ETL practices.

Responsibilities

• Develop state-of-the-art tools for data onboarding, analysis, and management.
• Collaborate with Risk Officers and analysts to deliver risk solutions.

Skills

.NET Programming

Data Engineering

Scripting Languages

Linux Exposure

Statistical Analysis

Time-Series Analysis

Education

Degree in Computer Science

Degree in Mathematics

Degree in Engineering

Degree in Physics

Tools

SQL Server

ArcticDb

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

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

Nice to have

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

Benefits

1. Competitive salary + generous bonuses
2. Extra perks including a personal development allowance and sponsorship
3. Central London office with a very smart, friendly tech team
4. Flat-structured, transparent and collaborative environment, 'no-attitude' culture
5. 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