Python Developer

Coolpeople — Czechia · Posted ~2 days ago

Mid

Skills

Python software engineering SQL API integration platform integration relational databases independent development SQL Server APIs

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Summary ✨ AI‑Generated

A Python developer is sought for hands-on development and integration of internal and external platforms in an international financial-markets environment. The role focuses on Python, SQL, APIs, relational databases and platform support, with existing quantitative models already available. Strong software-engineering experience, independence and C1 English are expected.

Highlights

Hands-on Python development role in an international financial-markets environment, with a high degree of independence and regular interaction with business stakeholders and analysts. The work emphasizes platform integration, APIs, SQL and practical software engineering rather than research.

Description

We are looking for a Python Developer to develop and integrate internal and external platforms in an international financial-markets environment. The role is hands-on and focused on Python, SQL and API integration rather than research or model development. We expect independence, solid software-engineering experience and English at C1 level. 🚀 Project development and integration of internal and external platforms and connection of existing models to APIs and other systems most quantitative models are already in place; the focus is on development, integration and platform support work in a small international team with regular communication with business stakeholders and analysts hands-on development role with a high level of independence 🎯 Skills excellent Python programming skills professional software-engineering experience using Python solid understanding of quantitative concepts or a degree in Mathematics is an advantage experience with relational databases, e.g. SQL Server, and writing SQL queries English at C1 level 💡 Nice to have exposure to financial products such as Rates, FX, Credit, Equities or Commodities familiarity with data-pipeline tools such as Airflow, Spark or kdb+/q understanding of data quality, controls and compliance in a regulated environment