Credit Analyst, Flex (Data & Underwriting)
Credit Analyst, Flex (Data & Underwriting)

Credit Analyst, Flex (Data & Underwriting)

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Enhance lending strategies using data and agile tech to develop flexible financial solutions.
  • Company: Leading financial technology firm with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact on lending strategies while collaborating with diverse teams.
  • Qualifications: Experience in unsecured retail lending and proficiency in SQL and Python.
  • Other info: Dynamic work environment with a focus on strategic business decisions.

The predicted salary is between 28800 - 48000 £ per year.

A leading financial technology firm is seeking a Credit Analyst who will utilize data and agile technology to enhance lending strategies and contribute to the development of flexible financial solutions. The ideal candidate will have experience in unsecured retail lending, strong analytical skills, and technical expertise in SQL and Python. You will collaborate across various teams, focusing on improving credit underwriting and driving strategic business decisions, all while aligning with regulations specific to the UK.

Credit Analyst, Flex (Data & Underwriting) employer: Monzo Bank

As a leading financial technology firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a commitment to work-life balance, all set against the backdrop of the vibrant UK financial sector. Join us to be part of a forward-thinking team that values your contributions and supports your growth in the ever-evolving landscape of financial solutions.
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Contact Detail:

Monzo Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Credit Analyst, Flex (Data & Underwriting)

✨Tip Number 1

Network like a pro! Reach out to folks in the financial tech space, especially those who work with credit analysis. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! If you’ve got experience with SQL and Python, don’t just mention it—bring it to life. Share examples of how you’ve used these tools to solve problems or improve processes in previous roles.

✨Tip Number 3

Prepare for the interview by brushing up on your knowledge of unsecured retail lending and current regulations in the UK. We want you to feel confident discussing how you can enhance lending strategies with data-driven insights.

✨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 Credit Analyst, Flex (Data & Underwriting)

Analytical Skills
Technical Expertise in SQL
Technical Expertise in Python
Experience in Unsecured Retail Lending
Data Utilisation
Agile Technology
Collaboration Skills
Credit Underwriting
Strategic Business Decision-Making
Regulatory Compliance in the UK

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in unsecured retail lending and showcases your analytical skills. We want to see how your background aligns with the role, so don’t be shy about emphasising your technical expertise in SQL and Python!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing lending strategies and how you can contribute to flexible financial solutions. Let us know how your previous experiences have prepared you for this role.

Showcase Your Collaboration Skills: Since this role involves working across various teams, make sure to highlight any past experiences where you’ve successfully collaborated with others. We love seeing candidates who can drive strategic business decisions while keeping regulations in mind!

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 gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Monzo Bank

✨Know Your Numbers

As a Credit Analyst, you'll be dealing with data all the time. Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles to analyse data and improve lending strategies.

✨Understand the Market

Familiarise yourself with the current trends in unsecured retail lending. Research the company’s position in the market and be prepared to discuss how you can contribute to their flexible financial solutions. Showing that you’re informed will impress the interviewers.

✨Collaboration is Key

Since the role involves working across various teams, think of examples where you've successfully collaborated in the past. Be ready to share how you’ve driven strategic business decisions through teamwork, especially in relation to credit underwriting.

✨Regulations Matter

Make sure you understand the regulations specific to the UK that affect credit analysis and lending. Being able to discuss compliance and how it impacts decision-making will show that you’re not just technically skilled but also aware of the broader context.

Credit Analyst, Flex (Data & Underwriting)
Monzo Bank
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  • Credit Analyst, Flex (Data & Underwriting)

    Full-Time
    28800 - 48000 £ / year (est.)
  • M

    Monzo Bank

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