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For Companies At a Glance
- Tasks: Join the Risk Data team to create cutting-edge tools for data onboarding, analysis, and management.
- Company: Be part of a prestigious global hedge fund with a focus on technology and innovation.
- Benefits: Enjoy competitive salary, bonuses, personal development allowance, and a vibrant office culture.
- Why this job: Work in a flat-structured, collaborative environment with opportunities to tackle big data challenges.
- Qualifications: Expertise in .NET programming and experience with large datasets; degree in a relevant field required.
- Other info: Engage in regular social events and annual company trips with a friendly tech team.
The predicted salary is between 43200 - 72000 £ per year.
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 terabytes 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 020 3745 6539 linkedin.com/in/maia-ellis-38a577193
C# Data Engineer (Risk)- Tech-Driven Global Hedge Fund employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C# Data Engineer (Risk)- Tech-Driven Global Hedge Fund
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as .NET, SQL Server, and ArcticDb. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the hedge fund and data engineering sectors. Attend industry meetups or webinars to connect with people who work at similar firms. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with large datasets and any challenges you've faced in data engineering. Be ready to share specific examples of how you've solved problems related to data quality and lifecycle management.
✨Tip Number 4
Showcase your understanding of modern ETL practices and stream processing. Being able to articulate your knowledge in these areas during interviews will demonstrate your readiness for the role and your alignment with the company's tech-driven approach.
We think you need these skills to ace C# Data Engineer (Risk)- Tech-Driven Global Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming experience, particularly in .NET and C#. Emphasise any work you've done with large datasets and your familiarity with SQL Server. Tailoring your CV to reflect the specific requirements of the role will make you stand out.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience in data engineering and your understanding of risk solutions. Be sure to convey how your skills align with their needs, especially regarding modern ETL practices and big data challenges.
Showcase Relevant Projects: If you have worked on projects involving data analysis, ETL processes, or financial market data, include these in your application. Describe your role, the technologies used, and the outcomes. This will demonstrate your practical experience and problem-solving abilities.
Highlight Soft Skills: Given the collaborative nature of the role, it's important to highlight your soft skills. Mention your ability to work in a flat-structured team, your communication skills, and your adaptability to new technologies. This will show that you fit well within their 'no-attitude' culture.
How to prepare for a job interview at eFinancialCareers
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially in .NET and C#. Highlight any projects where you've dealt with large datasets, as this is crucial for the role. Consider bringing examples of your work or code snippets to demonstrate your expertise.
✨Understand the Company’s Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as SQL Server, ArcticDb, and any relevant tools like Kubernetes or Kafka. Showing that you have researched their tech stack will impress the interviewers and demonstrate your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly related to data engineering challenges. Practice articulating your thought process when tackling big data issues, as this will showcase your analytical skills and ability to think critically under pressure.
✨Emphasise Collaboration and Communication
Since the role involves working closely with Risk Officers, analysts, and other engineers, be ready to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to work in a flat-structured environment.
