At a Glance
- Tasks: Own analytics for lending decisions and create scorecards using data.
- Company: Join Stryker Corporation, a leader in innovative healthcare solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Be part of a dynamic team with a focus on innovation and collaboration.
- Why this job: Make impactful decisions in credit risk while developing your data science skills.
- Qualifications: Experience in data analysis, Python, and SQL is essential.
The predicted salary is between 63000 - 77000 £ per year.
Stryker Corporation in London is seeking a Data Scientist focused on Credit Risk to own analytics behind lending decisions.
You will turn application, credit bureau and Open Banking data into scorecards, policies and pricing to decide who gets funded and at what price.
You'll join an experienced team at an early stage and build scalable analytical pipelines in Python and SQL to monitor portfolio performance and support forecasting for pricing and risk management.
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Credit Risk Data Scientist — Build Scoring & Pricing employer: SECNY Federal Credit Union
Stryker Corporation is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. As a Credit Risk Data Scientist, you will have access to cutting-edge tools and technologies, along with ample opportunities for professional growth and development within a supportive team environment. The company's commitment to employee well-being and career advancement makes it an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
SECNY Federal Credit Union Recruitment Team
