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- Tasks: Own the data driving lending decisions and build predictive models.
- Company: High-growth FinTech in London with a focus on data-driven strategies.
- Benefits: Competitive salary, dynamic team environment, and opportunity to shape data strategy.
- Why this job: Join a small team and make a real impact on innovative lending solutions.
- Qualifications: Strong stats background, experience with Python, SQL, and predictive modelling.
- Other info: Exciting chance to work closely with C Suite and drive data initiatives.
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.
What They’re Looking For
- 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.
Marketing 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 Marketing Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data visualisations. This is your chance to demonstrate your analytical prowess and how you can add value to the team.
✨Tip Number 3
Prepare for the interview by brushing up on your statistical knowledge and coding skills. Be ready to discuss your past projects and how you've used data to drive decisions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Marketing Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Data Scientist. Highlight your experience with data modelling, predictive analytics, and any relevant tools like Python or SQL. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data-driven lending decisions and how you can contribute to our team. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as part of your studies, make sure to include them. We love seeing real-world applications of your skills, especially in predictive modelling and data analysis.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Block MB
✨Know Your Numbers
Brush up on your statistical and mathematical knowledge. Be ready to discuss how you've used these skills in past projects, especially when it comes to building predictive models or analysing data. This will show that you can handle the technical demands of the role.
✨Showcase Your Data Skills
Prepare to talk about your experience with Python, SQL, and BigQuery. Have specific examples ready where you've sourced, cleaned, and manipulated data. If you can, bring along a portfolio or examples of dashboards you've created using Power BI or similar tools.
✨Be a Storyteller
Since you'll need to communicate insights to the executive team, practice how you present your findings. Think about how you can turn complex data into clear, actionable insights. Use storytelling techniques to make your points resonate.
✨Demonstrate Curiosity
Show your passion for data by discussing recent trends or challenges in the FinTech space. Ask insightful questions about their current data strategies and express your eagerness to contribute to shaping their data function. This will highlight your analytical mindset and genuine interest in the role.