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Senior Fraud Analyst

JR United Kingdom

London

On-site

GBP 50,000 - 70,000

Full time

26 days ago

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Job summary

An exciting opportunity awaits at a leading fin-tech company known for its rapid growth and innovative approach to consumer finance. In this dynamic role, you will define and implement fraud strategies, leveraging advanced technical skills in Python and SQL. Collaborating with cross-functional teams, you will monitor and refine strategies to ensure effectiveness. This company, recognized for its cutting-edge technology and commitment to customer satisfaction, offers a competitive salary and best-in-class compensation, including equity. Join a fast-paced environment where your contributions will make a significant impact on the financial landscape.

Benefits

Private Health Insurance
Equity Compensation
Competitive Salary

Qualifications

  • Daily coding experience in Python and SQL is essential.
  • Strong numerical degree required from a reputable university.

Responsibilities

  • Define and implement fraud strategies for evolving portfolios.
  • Collaborate across teams to enhance fraud detection and response.

Skills

Python
SQL
Communication Skills
Collaboration

Education

Numerical Degree from a Russell Group University

Job description

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This role is an exciting new role to work for one of the world’s leading fin-techs offering faster, and cheaper consumer finance. This business is among the top 10 fastest-growing tech companies in the UK.

THE COMPANY

This company is working on loans, credit cards, and car finance and aims to get money in customers' hands in only a few minutes, not days. The business is profitable, and growing fast, operating in both UK and US markets. The company is building some of the best technology, using machine learning, and AI.

THE ROLE

You will be doing the following daily:

  1. Define the fraud strategy for the companies’ evolving portfolios.
  2. Discover insights from data and develop new fraud strategies to answer key business questions.
  3. Collaborate cross-functionally across the business to implement your fraud strategy into the market.
  4. Monitor the success of the implemented strategy and continuously amend/discover new and further opportunities for improvement.
  5. Utilise advanced technical skills to develop and implement fraud strategies, such as SQL and Python.

YOUR SKILLS AND EXPERIENCE

  1. Daily coding experience, ideally Python and SQL.
  2. The ability to work and collaborate with other members of your team.
  3. Excellent written and verbal communication skills.
  4. Strong numerical degree from a Russell Group University.

THE BENEFITS

  1. Up to £70,000 salary.
  2. Best in-class compensation, including equity.
  3. Private health insurance coverage.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

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