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- Tasks: Join a team to build and maintain data-driven systems for P&L analytics.
- Company: A leading multi-strategy hedge fund known for innovation and growth.
- Benefits: Enjoy competitive salary increases and attractive performance bonuses.
- Why this job: Be part of a dynamic environment that values technology and data-driven decision-making.
- Qualifications: Expertise in C#, Python, SQL, and modern data warehouse architectures required.
- Other info: Work in both Windows and Linux environments with cutting-edge technology.
The predicted salary is between 48000 - 84000 £ per year.
My client, a prominent multi-strategy hedge fund, is looking for an experienced Data Developer/Engineer to join their growing team in London.
In this role, you will be part of a team that builds and maintains data-driven systems and processes that support operations and decision-making across the firm - particularly focusing on P&L analytics. The firm’s technology stack includes a mix of proprietary and third-party solutions, with core development in C# and Python, deployed across both Windows and Linux environments.
Key requirements:
- Proven development expertise in C# and Python
- Advanced proficiency in SQL
- Deep understanding of modern data warehouse architectures, data modeling, and ETL pipeline design
To secure the most relevant hire, my client has committed to offering a strong increase on current base. You will also receive an attractive individual performance bonus on top of this.
Apply now following the link below or send your resume directly to harvey.gilbert@mondrian-alpha.com.
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Developer/Engineer - Leading Multi-Strategy Hedge Fund - London
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, particularly C# and Python. Consider building a small project or contributing to open-source projects that utilise these languages to showcase your skills.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those working in data roles. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land an interview.
✨Tip Number 3
Stay updated on the latest trends in data warehousing and ETL processes. Being able to discuss recent advancements or best practices during your conversations can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on SQL and data manipulation. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.
We think you need these skills to ace Senior Data Developer/Engineer - Leading Multi-Strategy Hedge Fund - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C#, Python, and SQL. Include specific projects or roles where you developed data-driven systems or worked on P&L analytics to demonstrate your relevant expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in data warehouse architectures and ETL pipeline design. Use specific examples to illustrate your achievements.
Showcase Relevant Projects: If you have worked on any significant projects related to data development or engineering, summarise these in your application. Highlight your role, the technologies used, and the impact of your work on decision-making processes.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in a data-focused role.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C# and Python in detail. Bring examples of past projects where you implemented these languages, especially in data-driven systems or P&L analytics.
✨Demonstrate SQL Proficiency
Expect questions that test your SQL skills. Brush up on complex queries, data manipulation, and how you've used SQL in previous roles to support data warehousing and ETL processes.
✨Understand Data Warehouse Architectures
Familiarise yourself with modern data warehouse architectures and be ready to explain how they apply to the role. Discuss your experience with data modelling and pipeline design to show your depth of knowledge.
✨Prepare for Problem-Solving Scenarios
You may be presented with real-world problems during the interview. Practice articulating your thought process and solutions clearly, demonstrating your analytical skills and ability to work under pressure.
