Risk Manager

  • Zopa
  • London, United Kingdom
  • Mar 25, 2022
Full time Design Developer Risk

Job Description

At Zopa, we’re shaping the future of finance.   We offer simple loans and smart investments that help people take control of their finances and do more with their money. In the 12 years we’ve been in business, we’ve helped more than 60,000 people lend over £2 billion to 246,000 UK consumers.   And our journey’s only just beginning. In November 2016 we announced our plans to build a next generation bank so that we can bring a greater range of smart, ethical finance products to even more people.   We're looking for a Risk Manager to join our Risk Analytics team that's in charge of driving step-change improvements in credit performance by developing risk models, testing hypotheses and monitoring portfolio trends. The Risk Analytics team is responsible for credit risk strategies spanning the entire customer lifecycle from Application and Fraud Prevention to Existing Customer Strategies, Collections and Recoveries.   A Risk Manager at Zopa will work with cross-functional teams including; sales, data science, product and IT to develop and drive growth strategies, influence strategic decisions and identify new opportunities through the application of leading-edge analytical techniques. It's a team made up of bright individuals with analytical capabilities, who can translate numbers into business opportunities and deliver insights to drive decision-making.

 

A successful Risk Manager at Zopa should have the following attributes:

      • Extensive experience in a Risk Analysis role
      • Experience of managing and mentoring junior colleagues, and delivering on projects
      • A degree in any quantitative field (Business, Maths, Economics, Finance, Statistics, Science or Engineering)
      • Conceptual thinking – ability to find innovative ways to solve analytical problems
      • The ability to provide insight from data, assessing the commercial / financial impact and recommending actions
      • Ability to consistently deliver accurate, error-free results to a high standard within tight deadlines
      • Excellent oral and written communication skills with ability to translate insight into a coherent story that drives action
      • Very good SQL or SAS skills
Desirable but not required
    • Good programming ability with either Python, R, Scala, Java or Matlab data science context (either creating propensity models, segmentations or solving complex problems using optimisation techniques)