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JobsFord

Asset Liability Management Analyst

Ford

Asset Liability Management Analyst

Ford

Essex, Essex, United Kingdom, GB

·

On-site

·

Full-time

·

2mo ago


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.
 

  • 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.

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.

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About Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

Employees

Essex

Headquarters

$48B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.9

Management

2.3

45%

Recommend to a Friend

Pros

Good pay and benefits

Decent work-life balance options

Learning and advancement opportunities

Cons

Poor management and favoritism

Mandatory overtime and exhausting schedules

Limited growth opportunities

Salary Ranges

36 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total / year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Phone Screen

2

Technical Interview

3

Behavioral Interview

4

Final Round Interview

Common Questions

Behavioral

Technical

Assessment