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- Tasks: Shape data strategies and develop predictive models for smarter lending decisions.
- Company: High-growth FinTech in London with a dynamic team.
- Benefits: Competitive salary, opportunity to influence strategy, and career growth.
- Why this job: Join a blank slate for Data and make a real impact on financial decisions.
- Qualifications: Strong stats background, experience with Python, SQL, and Power BI.
- Other info: Collaborative environment with a focus on innovation and data-driven solutions.
The predicted salary is between 60000 - 85000 £ per year.
I’m working with a high-growth FinTech in London that’s building out their data function to support smarter, data-driven lending decisions. They’ve been scaling quickly and are now looking for someone to work closely with the C Suite to model and price loans in a more predictive, evidence-based way.
You’ll be joining a small but sharp team with a BI Analyst and a wider tech group (frontend, backend, and product). This is a rare chance to join a company with a blank slate for Data and be the person that shapes the strategy and research the models you think are best fit.
What You’ll Do- Take ownership of the data that underpins lending and pricing decisions.
- Build and refine the underwriting scorecard, working out the right weightings and using expert judgement backed by data.
- Develop predictive and analytical models to identify the leading indicators of default and credit performance.
- Analyse historic customer data and uncover the signals that predict repayment behaviour.
- Back test models, iterate, and automate model building over time.
- Visualise and communicate insights clearly to the executive team.
- Strong statistical and mathematical background.
- Confident sourcing, cleaning, and manipulating data independently (Python, SQL, BigQuery).
- Excellent with Power BI or similar for dashboarding and storytelling.
- Experience building predictive models from scratch.
- Someone curious, analytical, and genuinely passionate about digging into data to solve business problems.
- STEM degree.
Data Scientist in City of London employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving predictive models and visualisations. This is your chance to shine and demonstrate how you can add value to the team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. We recommend practising common data science interview questions and being ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with predictive models, data manipulation, and any relevant tools like Python or SQL. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our team. Be specific about your experiences and how they relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building predictive models or analysing customer data, we love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Block MB
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis and predictive modelling. Be ready to discuss specific examples where you sourced, cleaned, and manipulated data using Python or SQL. This will show your hands-on experience and confidence in handling data.
✨Brush Up on Statistical Concepts
Make sure you're well-versed in the statistical and mathematical principles that underpin your work. Be prepared to explain how these concepts apply to building underwriting scorecards and predictive models. This will demonstrate your strong foundation and analytical skills.
✨Visualisation is Key
Since you'll need to communicate insights to the executive team, practice presenting your findings using Power BI or similar tools. Create a few sample dashboards that tell a story with the data. This will help you showcase your ability to visualise complex information clearly.
✨Show Your Curiosity
During the interview, express your passion for digging into data and solving business problems. Share examples of how you've approached challenges in the past and what you learned from them. This will highlight your analytical mindset and eagerness to contribute to the company's data strategy.