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Job ID9116BR
Job TitleCredit Risk Analyst
Position TypePermanent
Business BrandHome Credit
DepartmentRisk
LocationBradford
SalaryCompetitive + 7% Bonus & Onsite gym
About Us
Here at Provident, there are a host of back office functions running behind the scenes to ensure we are keeping the customer at the heart of everything we do. One of the key areas is ensuring our colleagues at Head Office and across the field have a clear understanding of business objectives, with solid knowledge of how their individual role feeds into them.

We have a unique opportunity for an experienced Credit Risk Analyst to join our Bradford head office. You will support analytical projects and work with the Analytics Manager to support the management of credit strategy and portfolio analytics across the Home Credit division.

About the Role

Key Accountabilities

  • Generate actionable analysis and data driven intelligence to understand, manage and enhance the end-to-end account lifecycle.
  • Support field operational performance through analytical insight, segmentation and modelling of agent and customer behaviour.
  • Produce data driven solutions and insight to the marketing and product and propositions teams to support marketing strategies and optimise marketing channels performance using value based metrics.
  • Assisting with the development of measurement and reporting systems to monitor the financial risks associated with the business model.
  • Support the development of credit risk scoring and underwriting models across all product lines.
  • Support the development and monitoring of champion/challenger strategies.
  • Work closely with other teams to ensure profitability insights are translated into actionable activity
Skills and Experience
Ideal Candidate

Alongside the core values that Provident look for in all employees, we expect you to have at least 1 years analytical experience with a range of programming languages, data mining tools, and large volumes of data.

You will have experience or training in statistical modeling techniques and possess a good understanding of how to use statistical techniques to produce insight.

You will have exceptional quantitative skills, be adept in manipulating complex datasets, and interpret and communicate complex analytical findings and performance data.

Next Steps

If you are interested in applying for the role please do so via the link provided. Should you wish to speak with a contact in Talent Acquisition for more information, contact Dominic.burke@provident.co.uk

Updated11-10-2018