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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 top global hedge fund with a prestigious tech-driven environment.
- Benefits: Enjoy competitive salary, bonuses, personal development allowance, and a friendly office culture.
- Why this job: Work on big data challenges in a flat, collaborative environment with regular social events.
- Qualifications: Expertise in .NET, large datasets, and a degree in a relevant field from a top-tier university.
- Other info: Opportunity to work with innovative technologies and participate in annual company trips.
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 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
020 3745 6539
linkedin.com/in/maia-ellis-38a577193
#J-18808-Ljbffr
C# Data Engineer (Risk)- Tech-Driven Global Hedge Fund employer: Oxford Knight
Contact Detail:
Oxford Knight 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
Familiarize yourself with the specific technologies mentioned in the job description, especially .NET and SQL Server. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Network with professionals in the hedge fund and data engineering space. Attend industry meetups or online webinars to connect with people who might provide insights or referrals for the role.
✨Tip Number 3
Demonstrate your understanding of big data challenges by discussing relevant projects or experiences during interviews. Be prepared to explain how you approached data quality checking and lifecycle management.
✨Tip Number 4
Show your enthusiasm for continuous learning and adapting to new technologies. Mention any recent courses or certifications related to data engineering, ETL processes, or modern database technologies.
We think you need these skills to ace C# Data Engineer (Risk)- Tech-Driven Global Hedge Fund
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the specific requirements and responsibilities of the C# Data Engineer position. Tailor your application to highlight relevant experiences that align with the role.
Highlight Technical Skills: Emphasize your programming experience, particularly in .NET and C#. Mention any experience you have with large datasets, SQL Server, and other relevant technologies like Python or Kubernetes. Be specific about your technical skills and projects you've worked on.
Showcase Problem-Solving Abilities: Since the role involves solving big data challenges, provide examples of how you've tackled similar problems in the past. Discuss your approach to data engineering, ETL processes, and any innovative solutions you've implemented.
Express Enthusiasm for the Company Culture: The company values a flat-structured, collaborative environment. In your application, convey your excitement about joining a 'no-attitude' culture and how you can contribute positively to the team dynamics.
How to prepare for a job interview at Oxford Knight
✨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.
✨Understand the Financial Context
Familiarize yourself with financial market data and risk management concepts. This will help you communicate effectively with Risk Officers and analysts during the interview.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled big data challenges in the past. Discuss your approach to ETL processes and stream processing, as these are key aspects of the role.
✨Emphasize Collaboration and Culture Fit
Since the company values a flat-structured and collaborative environment, share experiences that demonstrate your ability to work well in teams and adapt to a 'no-attitude' culture.
