Junior ALM Model developer

ING; Amsterdam; Hybrid; EUR 52,000 - 72,000; Full time

Benefits offered by this job

Vacation days 25-28

Pension scheme

13th month salary

8% Holiday payment

Hybrid working

Personal growth and challenging work

Informal working environment

Job summary

ING in Amsterdam seeks a motivated junior ALM modeler to assist with developing and implementing asset-liability management models, calibrating data inputs, and running scenario analyses.

You will work closely with the ALM team, build behavioural and risk models, and prepare presentations for stakeholders while embracing a hybrid work environment. Applicants should have quantitative studies background, Python experience, and interest in finance.

Qualifications

• Quantitative studies such as Econometrics, Mathematics, Engineering & Physics.
• Finished additional professional qualifications in the financial risk field such as CFA, FRM, or the willingness to do so.
• Experience with programming languages (e.g. Python).
• Experience with model development in large financial institutions.

Responsibilities

• Work on developing and maintaining ALM models, including data input, model calibration, and scenario analysis.
• Collaborate with the team to develop behavioural models that capture customer behaviour over time.
• Conduct sensitivity analysis and stress testing of the ALM models to assess the impact of various risk factors on the financial projections.
• Analyze the results to identify potential areas of risk or opportunity.
• Help prepare presentations and reports for internal stakeholders.

Skills

Python

Education

Econometrics

Mathematics

Engineering & Physics

CFA

FRM

Job description

We’re looking for a motivated individual to assist with the development and implementation of asset-liability management (ALM) models. As a junior ALM modeler, you’ll work closely with our ALM team to support the development of financial projections and scenarios for various ALM models.

Role and responsibilities

• Work on developing and maintaining ALM models, including data input, model calibration, and scenario analysis.

• Collaborate with the team to develop behavioural models that capture customer behaviour over time.

• Conduct sensitivity analysis and stress testing of the ALM models to assess the impact of various risk factors on the financial projections.

• Analyze the results to identify potential areas of risk or opportunity.

• Help prepare presentations and reports for internal stakeholders.

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

We are looking for you if you have:

• Quantitative studies such as Econometrics, Mathematics, Engineering & Physics.

• Finished additional professional qualifications in the financial risk field such as CFA, FRM, or the willingness to do so.

• Experience with programming languages (e.g. Python).

• Experience with model development in large financial institutions.

Additionally, you should be:

• Proactive and analytical.

• Open and strong in communication.

• Problem solving and determined to finish on time.

Rewards andbenefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

• 13th month salary

• 8% Holiday payment

• Hybrid working

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us

Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you.

Questions?

Please visit our Frequently Asked Questions section to find some answers on questions you might have.

Are you interested?

If you are passionate about finance, have a strong analytical background, and are interested in developing your skills in a dynamic and challenging environment, we encourage you to apply!

We are looking forward to receiving your application!