At a Glance
- Tasks: Build and optimise data infrastructure for investment decisions in a dynamic trading environment.
- Company: Join Engelhart, a leading firm in the global oil market.
- Benefits: Enjoy competitive pay, bonuses, and a strong benefits package including medical and pension contributions.
- Other info: Receive mentorship from senior quants and thrive in a fast-paced, innovative setting.
- Why this job: Make an impact by designing scalable architectures and collaborating with top portfolio managers.
- Qualifications: Strong technical skills in quantitative development and experience with large datasets.
The predicted salary is between 60000 - 80000 £ per year.
Engelhart is seeking a technically strong Quantitative Developer to join our Global Oil desk in London. This role involves building and optimizing data infrastructure for investment decisions and offers mentorship from senior quants.
The successful candidate will assist in designing scalable architectures for large datasets, developing data pipelines, and collaborating closely with portfolio managers to ensure data aligns with commercial needs.
Enjoy competitive compensation, a bonus plan, and a robust benefits package, including medical and generous pension contributions.
Quantitative Developer – Data-Driven Trading & PnL employer: Engelhart
Engelhart is an excellent employer for those looking to thrive in a dynamic and innovative environment. With a strong focus on mentorship and professional development, employees are encouraged to grow their skills while working on impactful projects within the Global Oil desk in London. The company offers competitive compensation, a comprehensive benefits package, and a collaborative work culture that values data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer – Data-Driven Trading & PnL
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry, especially those working at Engelhart or similar firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects related to data infrastructure and trading algorithms. This will not only demonstrate your technical prowess but also your passion for the role.
✨Tip Number 3
Practice makes perfect! Brush up on your coding and quantitative skills before interviews. Use platforms like StudySmarter to refine your knowledge and tackle any technical questions with confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Developer – Data-Driven Trading & PnL
Some tips for your application 🫡
Show Off Your Technical Skills:Make sure to highlight your technical prowess in your application. We want to see your experience with data infrastructure and any relevant programming languages you've mastered. Don't hold back on showcasing your projects or achievements!
Tailor Your Application:Take a moment to customise your application for the Quantitative Developer role. We love seeing how your skills align with our needs, especially in building scalable architectures and developing data pipelines. A little personal touch goes a long way!
Collaborate and Communicate:Since this role involves working closely with portfolio managers, it's essential to demonstrate your collaborative spirit. Share examples of how you've successfully worked in teams and communicated complex ideas clearly. We value teamwork just as much as technical skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you're keen on joining our team at Engelhart!
How to prepare for a job interview at Engelhart
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills required for the role. Brush up on your knowledge of data infrastructure, scalable architectures, and data pipelines. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Business Side
Since you'll be collaborating with portfolio managers, it’s crucial to understand how data aligns with investment decisions. Research Engelhart's approach to trading and be prepared to discuss how your work can support their commercial needs.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your analytical thinking and problem-solving abilities. Practice coding challenges or case studies related to data-driven trading to showcase your quantitative skills effectively.
✨Show Enthusiasm for Mentorship
Engelhart offers mentorship from senior quants, so express your eagerness to learn and grow. Share examples of how you’ve benefited from mentorship in the past and how you plan to leverage this opportunity to enhance your skills.
