Senior Backend Engineer, Fintech AI & Tax Modeling

Secfi

Amsterdam

Hybrid

EUR 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Stock options
Pension contribution
Holiday allowance

Job summary

Secfi is building the private wealth stack for employees and executives with equity. We seek a Senior Backend Engineer to build the systems behind consequential financial decisions, focusing on probabilistic modelling, multi-jurisdiction tax logic, and asset forecasting.

You’ll own Maeve, the agentic hub, plus the calculation engines and core product surfaces, turning manual processes into scalable software and ensuring accuracy in a domain where correctness matters.

Qualifications

  • Strong Python and production service experience.
  • Real product experience with customer-facing systems.
  • Solid SQL and relational database skills.
  • REST API design and implementation experience.
  • Experience with public cloud platforms (AWS).
  • Comfort with a technology-agnostic approach.
  • Proactive domain understanding and ownership.
  • STEM degree or equivalent background.

Responsibilities

  • Build the Maeve hub systems connecting financing, wealth and planning data.
  • Develop core calculation engines: tax logic, modelling and Forecaster.
  • Create customer-facing equity planning surfaces.
  • Transform manual financing workflows into scalable software.
  • Measure impact and verify outcomes of your work.

Skills

Python
Product experience
SQL
REST APIs
AWS
Tech agnostic
Domain knowledge
High ownership
STEM degree

Education

STEM degree

Job description

Secfi is building the private wealth stack for employees and executives with equity. We seek a Senior Backend Engineer to build the systems behind consequential financial decisions, focusing on probabilistic modelling, multi-jurisdiction tax logic, and asset forecasting.

You’ll own Maeve, the agentic hub, plus the calculation engines and core product surfaces, turning manual processes into scalable software and ensuring accuracy in a domain where correctness matters.

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