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ALM Analyst

Ford Motor Company

Basildon

On-site

GBP 45,000 - 65,000

Full time

23 days ago

Job summary

A leading company in the automotive industry is seeking a detail-oriented Deposits and ALM Analyst for their Treasury team. The role involves enhancing interest rate and liquidity risk management through deposit modeling and analytics, requiring solid analytical and financial modeling skills. Candidates should have a degree in a quantitative field and relevant experience in bank Treasury or Finance.

Qualifications

  • Minimum 3 years’ experience in bank Treasury or Finance with a focus on analytics or modelling.
  • Experience with retail deposits or interest rate risk management.
  • Ability to work independently and manage deadlines.

Responsibilities

  • Enhance FCE’s behavioral deposit model.
  • Collaborate on key assumptions for deposit behavior.
  • Lead analytical studies to improve Treasury risk management practices.

Skills

Excel
Analytical skills
Communication

Education

Bachelor’s degree in a mathematical, physical science, or quantitative discipline

Tools

Alteryx

Job description

FCE Bank (FCE) supports Ford’s vehicle sales across Europe by providing financing solutions to retail customers and the dealer network. We fund our lending through a mix of retail deposits and secured and unsecured wholesale debt.

We are seeking a detail-oriented and analytical Deposits and ALM Analyst to join our Treasury team. This role is central to enhancing FCE’s interest rate and liquidity risk management through behavioural deposit modelling and ALM analytics. You will lead the monthly monitoring of deposit modelling, support regulatory risk assessments, and contribute to strategic Treasury initiatives.

Qualifications

The minimum requirements we seek:

  • Bachelor’s degree, preferably in a mathematical, physical science, or quantitative discipline.
  • Minimum of 3 years’ experience in bank Treasury or Finance with a focus on analytics or modelling.
  • Experience with retail deposits or interest rate risk management.
  • Strong Excel and financial modelling skills.
  • Ability to work independently, manage deadlines, and maintain high attention to detail.
  • Excellent interpersonal and communication skills.

Our preferred requirements:

  • Experience with statistical modelling techniques (e.g., linear regression).
  • Familiarity with Alteryx or similar data automation tools.
  • Experience delivering presentations to senior stakeholders.

Additional Information:

The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability

This position is based in Dunton, and it is expected the successful candidate will be able to attend the Dunton office for typically 4 days a week and remain flexible on the days they are required to attend the office according to business requirements.

As part of our pre-employment checks process, successful candidates will be required to undergo a criminal record check. This will be conducted in line with the Rehabilitation of Offenders Act 1974 and applied only to unspent convictions.

#LI-SN2#FordCredit

Responsibilities
  • Regularly update and enhance FCE’s behavioural deposit model.
  • Support the integration of deposit modelling into interest rate and liquidity risk management frameworks.
  • Collaborate with Risk and Deposits teams to propose key assumptions for deposit behaviour.
  • Prepare and improve ALCO management information on deposit modelling and Treasury risks.
  • Maintain and develop daily and monthly exposure calculations for derivatives and cash positions.
  • Contribute to Treasury risk stress testing for ICAAP and modelling for ILAAP.
  • Lead analytical studies to improve interest rate risk and other Treasury risk management practices.
  • Support Treasury system implementation projects and process automation initiatives.
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