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For Companies At a Glance
- Tasks: Shape data strategies and build predictive models for smarter lending decisions.
- Company: High-growth FinTech in London with a dynamic team.
- Benefits: Competitive salary, opportunity to influence strategy, and work with cutting-edge data.
- 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 predictive modelling.
- Other info: Collaborative environment with opportunities for personal and professional growth.
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.
Data Marketing 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 Marketing 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 data models and visualisations. This is your chance to demonstrate your analytical prowess and how you can contribute to smarter lending decisions.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and model-building techniques. Be ready to discuss your thought process and how you approach problem-solving with data.
✨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 Marketing Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Marketing Scientist. Highlight your experience with data manipulation, predictive modelling, 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 past experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on any projects that involved building predictive models or analysing customer data, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
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 get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Block MB
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools mentioned in the job description, like Python, SQL, and BigQuery. Brush up on your statistical methods and be ready to discuss how you've used these skills in past projects.
✨Showcase Your Predictive Modelling Skills
Prepare to talk about your experience with building predictive models from scratch. Have specific examples ready that demonstrate your analytical thinking and how your models have impacted decision-making in previous roles.
✨Visualisation is Key
Since you'll need to communicate insights to the executive team, practice how you would present your findings using Power BI or similar tools. Think about how to tell a compelling story with your data that highlights your analytical prowess.
✨Be Curious and Engaged
Demonstrate your passion for data by asking insightful questions during the interview. Show that you're not just looking for a job, but that you genuinely want to contribute to shaping the data strategy and solving business problems.