Your responsibilities:

• Deliver end‑to‑end data analysis using SQL and Python to generate insights, automate processes, and support strategic decision‑making.

• Build interactive dashboards and visualizations that drive performance tracking and business insights.

• Develop, finetune, benchmark, and evaluate GenAI/LLM models, including RAG pipelines and robust evaluation frameworks.

• Design scalable data pipelines, enforce data quality, and implement strong governance aligned to commercial and institutional requirements.

• Collaborate with business stakeholders to translate business needs into analytical solutions and AI capabilities that deliver measurable value.

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Your Profile

Essential skills/knowledge/experience:

• Strong experience in data analysis using Python (Pandas, NumPy) and SQL

• Good understanding of Generative AI concepts (LLMs, embeddings, prompt engineering)

• Experience working with structured and unstructured data (text, logs, transaction data)

• Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud)

• Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred)