Enable job alerts via email!

Credit Risk Data Scientist

JR United Kingdom

London

On-site

GBP 60,000 - 80,000

Full time

15 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An innovative fintech firm in London seeks a Credit Risk Data Scientist to enhance decision-making through advanced scorecard development. In this dynamic role, you will leverage your expertise in credit risk modeling and Python to analyze large datasets, driving impactful insights that shape the customer lifecycle. Collaborating with cross-functional teams, you will present your findings to senior stakeholders, ensuring data-driven decisions are at the forefront of the company's strategy. If you thrive in a fast-paced environment and are passionate about data science, this opportunity is perfect for you.

Qualifications

  • Strong experience in credit risk models and using Python for model development.
  • Experience in a fintech or fast-paced company is essential.

Responsibilities

  • Develop scorecards across the credit risk customer lifecycle.
  • Analyze large datasets to extract insights for model development.
  • Communicate analysis and insights to senior stakeholders.

Skills

Credit Risk Modeling
Data Analysis
Python
Communication Skills

Education

Numeric Degree from a Top University

Job description

Social network you want to login/join with:

I am hiring for a lending fintech based in London who are looking to bring in a Credit Risk Data Scientist to build decision scorecards across the credit risk customer lifecycle.

The Role

What you will do as a Credit Risk Data Scientist:

  1. Developing scorecards across the credit risk customer lifecycle
  2. Analyse large datasets to extract meaningful insights to drive model development.
  3. Developing models working with other functions for collections and acquisitions scorecards
  4. Communicating and presenting analysis and insights to senior stakeholders across the company
  5. Using Python daily to develop credit risk models and improve the credit risk scorecard models across the customer lifecycle.
Requirements:

What you need to be successful as a Credit Risk Data Scientist:

  1. Strong experience working within credit risk models.
  2. Experience at a fintech/fast-paced company
  3. Strong experience using Python to develop models.
  4. Numeric degree from a top university.

Up to £80,000 + competitive bonus and benefits

HOW TO APPLY

Please register your interest by sending your CV to Sean Tunley via [emailprotected]

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.