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For Companies At a Glance
- Tasks: Streamline processes, manage market data, and optimise research code performance.
- Company: Leading research firm in Greater London with a focus on innovation.
- Benefits: Attractive salary and benefits package for dedicated professionals.
- Why this job: Join a dynamic team and make an impact in front office trading.
- Qualifications: Over three years of experience with Python, Java, and SQL expertise.
- Other info: On-site role with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading research firm in Greater London is searching for a Research Engineer with strong software development skills.
Responsibilities
- Streamline processes
- Manage extensive market data
- Optimize research code performance
- On-site presence in Greater London due to front office trading focus
Qualifications
- Over three years of experience
- Expertise in Python, Java, and SQL
- Master's or PhD degree in a quantitative field (preferred)
Quant Research Engineer: Python, ML & HPC employer: Queueco
Contact Detail:
Queueco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Research Engineer: Python, ML & HPC
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry through LinkedIn or local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, Java, and SQL projects. We all know that actions speak louder than words, so let your work do the talking when you get that interview.
✨Tip Number 3
Prepare for technical interviews! Brush up on your coding skills and be ready to solve problems on the spot. We recommend practicing with mock interviews to build confidence and refine your approach.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always looking for talented individuals like you, so don’t hesitate to put yourself out there!
We think you need these skills to ace Quant Research Engineer: Python, ML & HPC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Java, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background in quantitative fields makes you a perfect fit for us. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've streamlined processes or optimised code performance in previous roles. We love seeing candidates who can think critically and improve efficiency!
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 from our team!
How to prepare for a job interview at Queueco
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Java, and SQL skills. Be ready to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real examples.
✨Understand the Market Landscape
Familiarise yourself with current trends in quantitative research and market data management. Being able to discuss recent developments or challenges in the industry will show that you're not just technically skilled but also aware of the bigger picture.
✨Prepare for Performance Optimisation Questions
Since optimising research code performance is a key responsibility, be prepared to talk about techniques you've used to improve efficiency. Think about specific instances where you streamlined processes and the impact it had on your team's output.
✨Show Enthusiasm for On-Site Collaboration
This role requires an on-site presence, so express your excitement about working closely with the team. Highlight any previous experiences where collaboration led to successful outcomes, as this will demonstrate your commitment to being an active part of the front office trading environment.
