Senior Credit Risk Analyst - Existing Customers (Hybrid)

Senior Credit Risk Analyst - Existing Customers (Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Manage credit strategies and provide data-driven insights for existing customers.
  • Company: Join Jaja Finance, a forward-thinking finance company in London.
  • Benefits: Enjoy a hybrid work setup, competitive salary, and career development opportunities.
  • Other info: Dynamic role with opportunities to shape monitoring frameworks.
  • Why this job: Make a real impact on customer outcomes while collaborating with diverse teams.
  • Qualifications: Quantitative degree and 3+ years in data analytics with SQL or Python skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Jaja Finance in London is seeking a Senior Credit Risk Analyst to manage existing customer credit strategies in a hybrid setup.

You will shape monitoring frameworks, provide data-driven recommendations, and collaborate with Commercial, Collections, Tech, Finance, and Regulatory teams to achieve strong investor and customer outcomes.

The role requires a quantitative degree and 3+ years in data analytics with SQL or Python experience.

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Senior Credit Risk Analyst - Existing Customers (Hybrid) employer: Jaja Finance

Jaja Finance is an excellent employer that fosters a collaborative work culture, where data-driven innovation thrives. Employees benefit from competitive salaries, private medical cover, and generous annual leave, all while working in a dynamic environment that encourages professional growth and development. Located in a vibrant area, Jaja Finance offers unique opportunities to engage with both tech and business teams, making it an ideal place for those looking to make a meaningful impact in the finance sector.

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Contact Details:

Jaja Finance Recruitment Team

We think you need these skills to ace Senior Credit Risk Analyst - Existing Customers (Hybrid)

Credit Risk Analysis
Data Analytics
SQL
Python
Monitoring Frameworks
Data-Driven Recommendations
Collaboration Skills