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Credit Risk Analytics Lead - London, United Kingdom,

£50-65k

Credit Analytics Lead
London
Up to £65,000

A rare opportunity to join a global start-up transforming the merchant services and payments space as a Credit Risk Analytics Lead. It's an innovative business with a strong technical platform, a top class analytics function, excellent and very unique brand identity and a culture that will mean you enjoy your work whilst allowing you to realise your potential.

It's an agile environment with remote working and flexible hours so you can strike the work-life balance you want! Some of the team work 2-3 days from home, but headcount is generally very high as the team enjoy the bright, fast paced, informal and entrepreneurial environment on offer.

THE ROLE:

  • Manipulate data (using SQL) to provide analysis and insights on commercial opportunities to maximise growth and minimise losses
  • Take end-to-end ownership over strategic Credit Risk deliveries and various tasks from an individual and team lead perspective
  • Work with large data sets from multiple sources using SQL and open source technologies
  • Develop strong relationships with stakeholders at all levels and act as the conduit between the UK team and international satellites; including championing strategic initiatives, gaining buy-in and sing-off from appropriate parties
  • Provide coaching and mentoring to a team of two analysts (technical and behavioural)

YOUR SKILLS AND EXPERIENCE:

  • Educated to degree level (minimum) in a STEM subject
  • Daily use of SQL in previous role(s) - you'll be very comfortable with data extraction and manipulation
  • Experience developing Credit Risk across multiple areas of the life-cycle or (wider business strategies)
  • Strong communication skills with the ability to influence stakeholder decisions
  • Track record of thriving in a team setting

THE BENEFITS:

  • Up to £65,000
  • Join a renowned analytic function with a well known brand
  • Opportunity to travel to international offices
  • Start-Up environment where you will have a wide scope
  • Fast changing bureaucracy where you can influence and change things quickly
  • Exposure / training in open source tech (R/Python)
  • Ownership over projects - no red tape or micro management

HOW TO APPLY:

Use the 'apply' feature on this page

KEYWORDS:

Credit Risk, SAS, SQL, Excel, Financial Services, Banking, Analyst, Fraud Risk, Acquisitions, Account Management, Strategic Analytics, Portfolio Analytics, Strategy, Scorecards, Portfolio Optimisation, Analysis, Loans, Payments, Credit Risk, Credit Risk, Analyst, Scorecards, Application, Behavioural, Model, SAS, SQL