Head of Data Science (Credit Risk & Fraud)

Harnham; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

An established industry player in consumer lending is seeking a Head of Data Science to lead the charge in Fraud, Credit Risk, and Customer Analytics. This pivotal role involves developing innovative models for credit risk decisioning, fraud prevention, and customer insights, all while collaborating with senior stakeholders to drive efficiency and revenue growth. Join a dynamic team dedicated to leveraging data science to support rapid business expansion. If you have a strong background in SQL and Python, along with a passion for data-driven decision-making, this opportunity is perfect for you.

Qualifications

• Proven experience in unsecured consumer lending and credit risk modelling.
• Strong background in SQL and Python throughout your career.

Responsibilities

• Develop new credit risk decisioning models and scorecards using SQL and Python.
• Set the data science roadmap and improve automation across the business.

Skills

SQL

Python

Credit Risk Modelling

Fraud Prevention

Customer Analytics

Education

STEM Degree from a top University

Tools

Snowflake

Job description

Head of Data Science (Credit Risk & Fraud)

I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.

The Role:

• Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
• Developing models for fraud prevention and models for customer analytics
• Working with senior stakeholders across different areas of the business being able to manage both down and up
• Setting out the data science and modelling roadmap for the business
• Improving efficiency with the development of automation across the business.
• Cross-collaborating with other functions across the business to increase efficiency and revenue

Your Skills & Experience:

• Experience with Unsecured consumer lending
• Strong experience using SQL and python across your career.
• Experience owning and developing credit risk models
• Experience developing scorecards and decisioning models
• STEM Degree from a top University

Salary: Up to £140,000

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Analyst