Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance data-quality processes and develop machine-learning pipelines for finance.
- Company: Leading financial services firm in the UK with a focus on innovation.
- Benefits: Salary up to £100k, hybrid working, and opportunities for growth.
- Why this job: Join a dynamic team and apply your skills in a cutting-edge financial environment.
- Qualifications: Proficiency in Python and SQL, with 2 years of quantitative experience.
- Other info: Strong academic background in a quantitative field preferred.
The predicted salary is between 60000 - 84000 £ per year.
A leading financial services firm in the United Kingdom is seeking a skilled Quant Research Analyst/Data Scientist to enhance data-quality processes and develop machine-learning pipelines.
The ideal candidate will have proficiency in Python and SQL, along with at least 2 years of experience in a quantitative role.
This position offers a salary of up to £100k and hybrid working options, with 3 days a week in Central London.
A strong academic background in a quantitative field is preferred.
Quant Research Analyst: ML for Finance (Hybrid, Python/AWS) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Research Analyst: ML for Finance (Hybrid, Python/AWS)
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate your expertise in machine learning and quantitative analysis, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common quant research questions. Practice explaining your past projects and how you've used machine learning in finance. Confidence is key, so let your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quant Research Analyst: ML for Finance (Hybrid, Python/AWS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and SQL, as well as any relevant quantitative roles you've held. We want to see how your skills align with the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning in finance and how your background makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch!
Showcase Relevant Projects: If you've worked on any projects that involved data-quality processes or machine-learning pipelines, make sure to mention them. We’re keen to see practical examples of your work, especially if they relate to finance!
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, we love seeing candidates who take that extra step!
How to prepare for a job interview at Oliver Bernard
✨Know Your Python and SQL Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Understand Machine Learning Concepts
Since this role focuses on developing machine-learning pipelines, it’s crucial to have a solid grasp of ML concepts. Familiarise yourself with common algorithms and be ready to explain how you've applied them in previous roles or projects.
✨Research the Company and Its Data Practices
Take some time to understand the financial services firm’s approach to data quality and machine learning. Knowing their recent projects or challenges can help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street, so come prepared with insightful questions. Ask about the team dynamics, the tools they use, or how they measure success in their data-quality processes. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
