Hybrid Data Science Manager – Credit Risk & Strategy
Hybrid Data Science Manager – Credit Risk & Strategy

Hybrid Data Science Manager – Credit Risk & Strategy

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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Salary Finance

At a Glance

  • Tasks: Lead Data Science teams and optimise lending products while mentoring your team.
  • Company: A leading financial wellbeing platform in Greater London.
  • Benefits: Hybrid working, generous benefits, and opportunities for professional growth.
  • Why this job: Shape strategy and make a real impact in the financial sector.
  • Qualifications: 5+ years in data science, team management, and skills in Python and SQL.
  • Other info: Join a dynamic team and help scale innovative solutions.

The predicted salary is between 48000 - 72000 £ per year.

A financial wellbeing platform provider in Greater London is seeking an experienced Data Science Manager to lead the Data Science and Decision Systems teams. You'll shape strategy and mentor your team while diving into hands-on project work. Initially focusing on optimizing core lending products, you'll also collaborate with various teams as the business scales.

Ideal candidates will have:

  • 5+ years in data science
  • Team management experience
  • Proficiency in Python and SQL

This role includes a hybrid working arrangement and generous benefits.

Hybrid Data Science Manager – Credit Risk & Strategy employer: Salary Finance

Join a forward-thinking financial wellbeing platform in Greater London, where you will not only lead and mentor a talented Data Science team but also engage in impactful project work that drives the optimisation of core lending products. With a strong emphasis on employee growth, a collaborative work culture, and a hybrid working arrangement, this company offers generous benefits that support both professional development and personal wellbeing, making it an excellent employer for those seeking meaningful and rewarding careers.
Salary Finance

Contact Detail:

Salary Finance Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid Data Science Manager – Credit Risk & Strategy

Tip Number 1

Network like a pro! Reach out to connections in the data science field, especially those who work in credit risk or strategy. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your best projects in Python and SQL. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.

Tip Number 3

Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on common data science questions and be prepared to discuss your management style and how you mentor your team.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Hybrid Data Science Manager – Credit Risk & Strategy

Data Science
Team Management
Python
SQL
Project Work
Strategy Development
Collaboration
Optimisation of Lending Products

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 5+ years in data science and any team management roles you've had. We want to see how you fit into our vision!

Showcase Your Technical Skills: Since proficiency in Python and SQL is key for this role, don’t forget to include specific projects or experiences where you’ve used these languages. We love seeing real examples of your work!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial wellbeing and how you can contribute to our mission. This is your chance to show your personality and enthusiasm for the role!

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 Salary Finance

Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and problem-solving skills.

Showcase Your Leadership Skills

As a Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to strategy and collaboration. Highlight any mentoring experiences that showcase your leadership style.

Understand the Business Context

Familiarise yourself with the financial wellbeing platform and its core lending products. Being able to discuss how data science can optimise these products will impress the interviewers. Show that you understand the business's goals and how your role fits into achieving them.

Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about the company's culture, the team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.

Hybrid Data Science Manager – Credit Risk & Strategy
Salary Finance
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