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Lead Credit Analyst, Personal Borrowing

Posted 4 months agoViewed

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💎 Seniority level: Lead, extensive experience

📍 Location: UK

💸 Salary: 70000 - 90000 GBP per year

🔍 Industry: Financial services

🏢 Company: Monzo👥 1001-5000💰 Secondary Market 6 months ago🫂 Last layoff almost 5 years agoFinancial ServicesBankingWealth ManagementFinTech

🗣️ Languages: English

⏳ Experience: Extensive experience

🪄 Skills: LeadershipProject ManagementPythonSQLMentoring

Requirements:
  • Extensive experience in unsecured retail lending (e.g. personal loans, credit cards, overdrafts).
  • Deep understanding of the unsecured retail lending market and pricing dynamics.
  • Experience developing and deploying underwriting strategies and credit models.
  • Strong analytical and data capabilities, technical coding skills (SQL required, Python and Looker plus).
  • Strong understanding of UK lending regulations.
  • Experience thriving in a fast-paced environment and improving products.
  • Strong communication skills for articulating complex problems to senior leadership.
  • Project management experience and collaborative skills with diverse teams.
  • Highly motivated to bring positive impact to customers and Monzo.
Responsibilities:
  • Leading initiatives to improve credit underwriting, boost growth, and manage portfolio risk.
  • Supporting the design and roll-out of new lending strategies by translating data patterns into insights.
  • Monitoring and iterating the performance of existing strategies.
  • Collaborating with various teams (engineering, marketing, product, risk) for product changes.
  • Developing credit control and portfolio management frameworks.
  • Refining credit models to assess new lending cohorts.
  • Building and maintaining databases and dashboards for data-driven decisions.
  • Supporting new product design and assessing portfolio performance.
  • Mentoring and up-skilling junior team members.
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🏢 Company: Monzo👥 1001-5000💰 Secondary Market 6 months ago🫂 Last layoff almost 5 years agoFinancial ServicesBankingWealth ManagementFinTech

  • Extensive experience in unsecured retail lending (e.g. personal loans, credit cards, overdrafts, buy now pay later etc.).
  • Deep understanding of how the unsecured retail lending market works including the impact of pricing dynamics on portfolio performance.
  • Deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
  • Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus..
  • Strong understanding of the regulations that apply to lending in the UK.
  • Strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
  • Experience in project management and coordination across teams.
  • Works well collaborating in a team with diverse skill-sets and personality types.
  • Leading initiatives to improve our credit underwriting, boost growth and/or manage portfolio risk.
  • Supporting the design and roll-out of new lending strategies by finding patterns in the data and translating these into insights.
  • Monitoring the performance of our existing strategies, and iterating to improve them.
  • Collaborating with people from engineering, marketing, product, risk and control to design and deliver product changes.
  • Developing our credit control and portfolio management frameworks to support our growing portfolios.
  • Developing, maintaining and refining our credit models to assess net present value of new lending cohorts to drive strategic business decisions.
  • Building, maintaining and owning the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
  • Supporting the design and roll-out of new products and customer journeys.
  • Assessing how the lending portfolio of particular products will perform over time.
  • Mentoring and up-skilling more junior members of the team.

Project ManagementSQLData AnalysisAnalytical SkillsData modeling

Posted about 6 hours ago
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