Quantitative AI and Data Analyst - Executive Director

What you'll do

• Develop, calibrate, test, and deploy Agentic AI solutions using machine learning and large language models.
• Build statistical evaluation, monitoring, validation, and improvement frameworks for GenAI/LLM applications.
• Partner with users, control functions, and development teams; present work to stakeholders and mentor team members.

What they ask for

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering or a related discipline.
• 9+ years of relevant experience, particularly working with AI and/or Data Analytics.
• Strong Python programming skills, including handling large datasets and prototyping mathematical or statistical models.
• Practical experience in statistics, data analytics, or artificial intelligence, and familiarity with the industry model development lifecycle.

Nice to have

• Experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan), and uncertainty quantification.
• Experience with ML/GenAI/LLM evaluation and monitoring frameworks, financial quantitative/trading work, or market methodologies such as stress testing, VaR, and calibration.

Pay

$195,000 and $275,000 per year (base salary)

Tools

Python, Machine Learning, Large Language Models, GenAI, PyMC, Stan

AI focus

Develop and productionize Agentic AI solutions using machine learning and LLMs; create statistical frameworks for evaluation, monitoring, model validation, and continuous improvement, with governance, documentation, benchmarking, and explainability.