Role Overview

This role focuses on building machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production.

Key Responsibilities

• Develop and deploy ML models

• Work with structured financial datasets

• Collaborate with engineering teams

• Improve model performance and monitoring

• Support production ML pipelines

Required Experience

• Machine learning engineering experience

• Python and ML frameworks

• Experience deploying models to production

• Financial services or data-heavy background

• Cloud ML tooling exposure

Nice to Have

• NLP or time-series modelling

• MLOps experience

• Risk or fraud use cases

Why Join

• Applied ML in production

• High-impact financial use cases

• Growing AI capability