# Quant Developer / Intraday Quant Trader (f/m) at Engie

Engie is hiring a Quant Developer / Intraday Quant Trader (f/m). Level rates it Builds AI ●●●●; you can [apply on Engie](https://jobsbylevel.com/go/c3a21093-a359-484a-bcd3-694f97135f93?utm_medium=ai-agent).

AI Level 4, AI centrality 88 out of 100. Katowice, Poland, 40-007.

## Details

- Company: [Engie](https://jobsbylevel.com/companies/engie)
- AI level: AI Level 4 (score 88 out of 100)
- Location: Katowice, Poland, 40-007
- Posted: June 24, 2026
- Apply: https://jobsbylevel.com/go/c3a21093-a359-484a-bcd3-694f97135f93?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/quant-developer-intraday-quant-trader-f-m-at-engie-3d9b53

## Description

Quant Developer / Intraday Quant Trader (f/m) 📍 Katowice | Hybrid 🚀 About the Role We are looking for someone who combines analytical thinking, programming, and strategy development . Your role will be to turn ideas into working models and algorithms — from concept, through testing, to deployment in real systems. This is a position for people who enjoy solving complex problems, working with data, and building end‑to‑end solutions . Responsibilities Design and develop data‑driven strategies and quantitative models Build and implement algorithms in Python Develop predictive models (statistical, ML / DL-based) Analyze data and identify patterns / signals Perform backtesting and validate strategies Iteratively improve models based on performance Build tools supporting automated decision‑making Work with large datasets and real-time data pipelines Candidate Profile Degree in a quantitative field (math, physics, engineering, CS, or similar) Strong Python skills (must-have) Experience with SQL and working with structured data Experience in data analysis, modelling, or algorithm development Solid understanding of statistics and time-series analysis Familiarity with Machine Learning / Deep Learning concepts : regression / classification tree-based models (XGBoost, LightGBM, CatBoost) basic neural networks (feedforward, LSTM / time-series models) Experience with libraries such as pandas, numpy, scikit-learn, PyTorch / TensorFlow Strong problem-solving mindset and system thinking English (B2+) Nice to Have Experience with neural networks applied to time-series / forecasting Experience with optimization techniques and hyperparameter tuning Working with real-time / high-frequency data Experience deploying models into production (APIs, pipelines) Who We’re Looking For Someone who: enjoys breaking down complex problems can turn ideas into working algorithms tests hypotheses instead of relying on intuition iterates quickly (build → test → improve) is curious about models and why they work (or don’t) We Offer Direct impact on strategies and systems Fast iteration cycles and real implementation Opportunity to build end‑to‑end solutions Growth in quant / algo / data / ML At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are. Join us and be part of the adventure of the century!

Source: https://jobsbylevel.com/jobs/quant-developer-intraday-quant-trader-f-m-at-engie-3d9b53

## Cite this page

Level. https://jobsbylevel.com/jobs/quant-developer-intraday-quant-trader-f-m-at-engie-3d9b53.

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