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Credit Risk Analyst

Arkle Finance

Wellingborough

Hybrid

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Credit Risk Analyst, where you will play a crucial role in managing credit risk and developing strategies to enhance the loan portfolio. This innovative firm offers a hybrid work environment, allowing flexibility while ensuring your contributions are recognized at the highest levels. You will collaborate closely with commercial teams to provide insights that drive growth while maintaining a strong focus on risk management. With a commitment to employee development and work-life balance, this is an opportunity to advance your career in a supportive and dynamic environment.

Benefits

Private medical insurance
25 days' annual leave
Enhanced maternity and paternity leave
Income protection
Life Assurance
Pension
Onsite subsidised restaurant
Discounts through Reward Gateway

Qualifications

  • 3+ years of experience in Credit Risk Analytics is required.
  • Strong understanding of risk models and collections strategies.

Responsibilities

  • Review and implement lending strategies for new and existing customers.
  • Develop risk models to manage lending risks and ensure compliance.

Skills

Credit Risk Analytics
Cohort Analysis
Risk Models (PD, LGD, EAD)
SQL
Collections Strategies
Understanding of Consumer Credit Act

Education

Degree in Statistics or related field

Tools

Decision Engine
Credit Bureaus

Job description

CREDIT RISK ANALYST

WELLINGBOROUGH (HYBRID)

Let's start with the most important question: why join us?

Reporting to the Head of Credit you will have immediate access to senior management and your successes will be visible at the highest levels of the organisation. As a family-owned business with ambitious but realistic growth plans, Arkle provides job security and development opportunities that are almost unparalleled in our industry. Work-life balance? You will get it with us.

The role

This is a newly created role in the Credit team, supporting the management of the Credit Risk working closely with Commercial and Collections to review lending and collections strategies. You will develop and follow up portfolio monitoring and provide insights to grow the loan book with the right quality deals aligned with our risk appetite.

Based in our Wellingborough head office, you enjoy the flexibility to work from home two days per week. Hours of work are 9am to 5pm, Monday to Friday.

Benefits include:

  1. Private medical insurance
  2. 25 days' annual leave (rising to 28 days with length of service)
  3. Enhanced maternity and paternity leave
  4. Income protection
  5. Life Assurance
  6. Pension
  7. Onsite subsidised restaurant
  8. A range of discounts and benefits through our Reward Gateway platform

What you will do

  1. Review, validate and implement lend strategies (new customers, existing customers) and future management of the Automatic Lend Journey through the Decision Engine.
  2. Collaborate with Collections and Commercial to contribute risk insights to improve collections strategies and risk-based pricing.
  3. Maintain and recommend enhancements to the lend policy, process, and procedures.
  4. Develop and follow up the portfolio monitor performance and provide recommendations to strategically grow the book while efficiently managing the risk.
  5. Develop and implement the Customer / Broker monitor to alert on potential changes in risk profiles.
  6. Provide stress test analysis for the different dimensions of the portfolio to identify future trends.
  7. Provide risks and controls for the credit risk function.
  8. Conduct cohort analysis.
  9. Create risk models for Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) to help quantify and manage the risks associated with lending and ensure compliance with regulatory requirements such as Basel.

What you will bring

  1. At least three years' experience in Credit Risk Analytics.
  2. Experience with Collections strategies, cohort analysis, and risk models (PD, LGD, EAD) and provisions models.
  3. Experience with secure and unsecured models (in reference to provisions and risk models).
  4. A good understanding of the Asset Finance, Motor Finance, or Consumer Credit industry with a good understanding of the Consumer Credit Act, CONC, etc.
  5. Working knowledge of external data sources such as credit bureaus, fraud data, etc.
  6. Experience in SQL.
  7. A strong numerate degree, ideally with a statistics focus.

Next steps

If you are excited about this opportunity, apply now, and one of our Talent Acquisition team will be in touch within five working days.

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