Collaborate with marketing to build datasets and a centralized data warehouse for retention.
Develop ML solutions for customer personalization to boost engagement across channels.
Explore Gen AI to build trader apps that personalize trading.
Maintain a commercial acumen to identify tech opportunities for engagement or automation.

🎯 Requirements

Strong expertise in SQL across high-volume datasets.
Pipeline and automation development with Python to connect APIs.
Deploy end-to-end ML with Python (predictive modelling).
Experience turning data into insights and communicating with stakeholders.
Capable of creating applications using LLMs and latest Gen AI use cases.
ETL tools with cloud experience (dbt, AWS, SageMaker).

🎁 Benefits

Industry-leading financial institution.
Competitive salary and benefits.
Growth and career advancement opportunities.
Collaborative, inclusive work environment.
Commitment to innovation and excellence.

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