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Senior Software Developer - Python, Big Data and Quantitative Finance

Us3 Consulting — Poland · Posted ~3 hours ago

Senior

Skills

Python Big Data Apache Spark SQL Hadoop Software Development Quantitative Finance Apache Pinot Git Jenkins

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Summary ✨ AI‑Generated

A senior software engineering position focused on financial analytics platforms, large-scale data processing, and quantitative solutions using Python and big data technologies.

Highlights

Senior role combining software engineering, big data, and quantitative finance with challenging analytical problems and large-scale systems.

Description

Senior Software Developer – Big Data & Quantitative Development We are looking for experienced Senior Software Developers / Quantitative Developers with strong Python, Big Data and quantitative finance expertise to work on risk analytics, calculation engines and historical market data platforms. Experience: 5+ years of relevant experience is essential. Essential Skills 5+ years of software development experience, ideally in financial services, risk or quantitative technology.Strong Python programming and clean coding practices.Strong Big Data / Hadoop experience with hands-on Apache Spark and/or Apache Pinot.Strong SQL skills and experience with data-intensive applications.Experience with derivatives pricing, market risk or risk analytics.Knowledge of VaR, Greeks, HPL/RTPL and/or HVaR.Experience working across Linux/Windows/UNIX environments and shell scripting.Experience with Git, Jenkins, CI/CD and SDLC/DevOps practices.Strong analytical, problem-solving, communication and teamwork skills.Preferred Skills Quantitative finance knowledge including probability, statistics, stochastic calculus and mathematical finance.Experience with regulatory risk projects, including Basel, FRTB, CCAR and Stress Testing.Experience with C++/C# or C#/.NET.Strong knowledge of NumPy, pandas and quantitative/data engineering frameworks.Experience with derivatives pricing, model validation and market risk analytics.Exposure to AI/ML and NLP, with an AI-first mindset.Experience building historical market data stores, including data sourcing, quality checks and data-filling frameworks.