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Senior Python developer

Role overview

Summary

This role focuses on designing and building the APIs and data pipelines that power proprietary quantitative platforms at Findev. You will work at the intersection of quantitative finance and scalable platform engineering, directly influencing investment decisions through your contributions.

Qualifications

  • 7+ years of experience in backend engineering.
  • Experience with API design and development.
  • Proficiency in building data pipelines.
  • Knowledge of quantitative finance concepts.
  • Preferred: Familiarity with scalable platform engineering.

Responsibilities

  • Design and build APIs that support proprietary quantitative platforms.
  • Develop data pipelines for portfolio construction and optimization.
  • Create services that enhance multi-asset risk analytics.
  • Translate complex investment models into scalable production systems.

Key facts

Hard skills

Other skills

  • Problem Solving

About the company

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FinDev

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Job description

About the Team

The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling.

In practice, this means translating complex investment models — Monte Carlo retirement simulations, factor risk frameworks, liability-driven optimization, capital market forecasting — into reliable, scalable production systems used daily by portfolio managers, financial advisors, and institutional clients worldwide.

The Role

Findev is looking for a Backend Engineer with 7+ years of experience to design and build the APIs, data pipelines, and services that power these platforms. This is a hands-on, high-impact role at the intersection of quantitative finance and scalable platform engineering — where a well-designed data model or a faster pipeline directly influences investment decisions at scale.

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