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- Tasks: Transform prototypes into scalable ML pipelines and automate data-quality processes.
- Company: Leading financial services firm collaborating with top investment banks.
- Benefits: Up to £100k salary, hybrid working, and a fantastic benefits package.
- Why this job: Join a dynamic team and revolutionise data processes in finance.
- Qualifications: 2+ years in Data Science, proficiency in Python & SQL, and AWS experience.
- Other info: Central London location with excellent career growth opportunities.
The predicted salary is between 72000 - 120000 £ per year.
I've partnered with a leader in the Financial Services industry, who work with some of the globe's largest Investment Banks & Trading firms. They are growing their Data team and are looking to add a highly skilled Quant Research Analyst/Data Scientist to automate and improve data-quality processes used in the production of aggregated analytical outputs. The role involves transforming an existing prototype into a scalable machine-learning pipeline, replacing a significant amount of manual anomaly detection with robust automated methods.
Responsibilities
- Transform an existing prototype into a scalable machine-learning pipeline.
- Automate data-quality processes used in producing aggregated analytical outputs.
- Replace manual anomaly detection with robust automated methods.
Requirements
- Minimum of 2+ years in a Data Science, ML or Quantitative-based role
- Proficiency in Python & SQL
- Experience working with AWS
- Production-level experience in ML model deployment, monitoring and maintenance
- A strong academic background in a highly quantitative field with MSc/PhD preferred
- An understanding of the financial services industry, products, quantitative concepts and overall domain knowledge is highly beneficial
What’s on offer
- Salary - Pays up to £100k depending on skills and experience, along with a great benefits package
- Hybrid working - 3 days a week in a Central London office
- 3-stage interview process
- Location: Central London
- Eligibility: UK-based only; sponsorship not available
Quant Research Analyst - ML employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Research Analyst - ML
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common questions for Quant Research Analyst roles and practice your answers. We recommend using mock interviews with friends or mentors to build confidence and refine your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio of your projects, especially those involving Python, SQL, and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Quant Research Analyst - ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, ML, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the financial services industry and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since we’re looking for someone with strong technical abilities, make sure to mention your proficiency in SQL and AWS. If you’ve deployed ML models before, share those experiences to stand out!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your machine learning concepts and be ready to discuss how you've applied them in previous roles. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed prototypes into scalable solutions or automated processes in your past work. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Financial Landscape
Familiarise yourself with the financial services industry and key quantitative concepts. Being able to discuss relevant products and trends will show that you’re not just a tech whiz but also understand the domain you’ll be working in.
✨Ask Insightful Questions
Prepare thoughtful questions about their data quality processes and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
