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- Tasks: Join a global analytics team as a Data Scientist, focusing on portfolio management and customer analytics.
- Company: Work with a leading international financial analytics consulting firm serving top-tier banks.
- Benefits: Enjoy a competitive salary of £70 - £90,000 and career progression opportunities.
- Why this job: Make a real impact by navigating high-value clients through complex data-driven scenarios.
- Qualifications: 6-8 years of experience in data science, ideally with an MBA and expertise in machine learning.
- Other info: This is a high-profile position within a market-leading global analytics team.
The predicted salary is between 56000 - 84000 £ per year.
Client: International Financial Analytics Consulting Firm
Salary: £70 – £90,000
Location: London
Experience: 6-8 years
Industry: Consulting, Banking
Skills: #datascience, #riskanalytics, #consulting, #machinelearning, #statisticalmodelling
Overview:
Our client is a leading global analytics consultancy working across the financial markets, working directly with a pick of the top tier banks.
What we are looking for:
We are currently looking for 2 experienced Private Banking Data Scientists to join a market-leading global analytics team.
If you have expertise across portfolio management, customer analytics, and are fanatical about extracting pragmatic meaning and strategic value from ML, Big Data, and data analysis, to truly help and navigate high-value clients through complex scenarios, then please get in touch.
We are looking for experts that combine the appropriate analytical depth of knowledge ideally with an MBA due to the nature of this role and the challenge of operating at the intersection of quantitative and strategic decisions.
What this role can offer you:
This role will provide you with the opportunity to join a truly global team, and work with some of the biggest and best regarded financial service firms in the world.
A great opportunity to supercharge your career progression in a high profile position.
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Data Scientist employer: Bailey & French
Contact Detail:
Bailey & French Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience in portfolio management and customer analytics during networking events or conversations. This will help you connect with industry professionals who can refer you to the right opportunities.
✨Tip Number 2
Engage with online communities and forums related to data science and financial analytics. Sharing your insights and participating in discussions can help you build a reputation and attract attention from recruiters in the field.
✨Tip Number 3
Consider attending industry conferences or workshops focused on machine learning and risk analytics. These events are great for networking and can lead to valuable connections that may help you land an interview.
✨Tip Number 4
Stay updated on the latest trends and technologies in data science and financial analytics. Being knowledgeable about current developments will not only boost your confidence but also make you a more attractive candidate to potential employers.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, risk analytics, and consulting. Emphasize your skills in machine learning and statistical modeling, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can drive strategic decisions in banking. Mention specific projects or experiences that demonstrate your ability to extract value from big data.
Showcase Relevant Experience: Detail your experience in portfolio management and customer analytics. Use quantifiable achievements to illustrate your impact in previous roles, especially in high-stakes environments.
Highlight Educational Background: If you have an MBA or relevant advanced degree, make sure to highlight this in your application. Explain how your educational background complements your analytical skills and prepares you for this role.
How to prepare for a job interview at Bailey & French
✨Showcase Your Analytical Skills
Be prepared to discuss specific projects where you've applied data science techniques, particularly in risk analytics and portfolio management. Highlight your ability to extract meaningful insights from complex datasets.
✨Demonstrate Business Acumen
Since this role operates at the intersection of quantitative analysis and strategic decision-making, be ready to explain how your analytical work has influenced business outcomes. An MBA background can be a strong asset here.
✨Prepare for Technical Questions
Expect questions on machine learning algorithms, statistical modeling, and big data technologies. Brush up on your technical knowledge and be ready to solve problems on the spot or discuss your thought process.
✨Understand the Client's Needs
Research the financial services industry and the specific challenges faced by top-tier banks. Being able to articulate how your skills can help navigate these challenges will set you apart from other candidates.
