Hybrid ALM Financial Modelling Engineer (Python)

SLAMcore; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Benefits offered by this job

Vitality health plan

Mental health support

25 days annual leave

Team socials

Dog-friendly London office

Family-friendly policies

Job summary

Y TREE in London (Soho) is seeking a Financial Modelling Engineer (Python) to move legacy Excel models to a production-grade Python system supporting ALM-driven financial planning for high-net-worth clients. You will translate client scenarios, develop models, write tests, and document assumptions, tax rules, and growth factors.

The role blends coding, modelling, and advisory support within a hybrid setup. Applicants typically have 2–4 years in Quant WealthTech, a degree in

Qualifications

• Hands-on Python development for financial models and ALM.
• Understanding of cash flows, tax wrappers and growth factors.
• Experience writing clean production-grade code and automated tests.

Responsibilities

• Translate client scenarios into model inputs for ALM projections.
• Migrate core models from Excel to a code-based environment (Python/Proprietary Stack).
• Develop and run unit tests; ensure Excel vs. code outputs align.
• Document assumptions, tax rules and growth factors for maintainability.
• Support data validation and data preparation for modelling inputs.
• Assist with integration of models into the Y TREE platform; provide test cases.

Skills

Python

ALM Development

Financial Modelling

Unit Testing

Education

Degree in finance/economics/mathematics

Master’s degree

Job description

Y TREE in London (Soho) is seeking a Financial Modelling Engineer (Python) to move legacy Excel models to a production-grade Python system supporting ALM-driven financial planning for high-net-worth clients. You will translate client scenarios, develop models, write tests, and document assumptions, tax rules, and growth factors.

The role blends coding, modelling, and advisory support within a hybrid setup. Applicants typically have 2–4 years in Quant WealthTech, a degree in