Machine Learning Quant (Fintech)

TL;DR

Machine Learning Quant (Fintech): Developing and deploying ML/AI models for prediction and signal generation in financial markets with an accent on time series forecasting and anomaly detection. Focus on end-to-end model ownership, from research and feature engineering to live production execution.

Location: Amsterdam, Netherlands. Relocation package available.

Company

hirify.global Trading is a financial technology firm focused on building advanced intelligence systems for real-world market performance.

What you will do

• Develop and deploy novel ML/AI models for prediction, signal generation, and anomaly detection.
• Translate research insights into live trading strategies in collaboration with Quant Research and Trading Intelligence teams.
• Explore and evaluate SOTA techniques including deep learning, reinforcement learning, and graph neural networks.
• Own the full model lifecycle: feature engineering, backtesting, execution, live monitoring, and risk assessment.
• Analyze large, noisy, high-frequency data streams and perform advanced bias detection.
• Collaborate with infrastructure engineers to ensure efficient and reliable productionization of models.

Requirements

• PhD or MSc in Machine Learning, AI, Statistics, Computer Science, Mathematics, or a related field.
• Hands-on experience building and deploying ML/AI models, specifically for time series forecasting or anomaly detection.
• Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Strong software development skills with experience in a production environment.
• Experience with Docker, S3/MinIO, and PostgreSQL/OLAP databases.
• Strong intuitive understanding of overfitting, generalization, and feature engineering.

Nice to have

• Experience with MLOps pipelines and tools (e.g., MLFlow, ClearML, Weights & Biases).
• Knowledge of high-performance computing and GPU optimization (e.g., CUDA, TensorRT).

Culture & Benefits

• Direct exposure to live trading with end-to-end ownership of models and strategies.
• Competitive base salary, variable pay, and potential shareholding in the company.
• Comprehensive relocation package including budget, flight coverage, house-finding service, and expat support.
• On-site perks: meals during work hours, in-house gym, and chair massage.
• Office amenities including a game room (pool table, board games, and consoles).
• Social events, after-work drinks, and travel cost reimbursement.