Data Scientist - Financial Crime

About the Role

We are seeking a highly skilled Data Scientist to join our Financial Crime Surveillance team. This role is critical in driving advanced analytics, machine learning, and AI solutions to proactively detect and prevent financial crime. You will work at the intersection of data science, risk management, and compliance, helping us stay ahead of evolving threats.

Key Responsibilities

• Conduct threat hunting, portfolio analysis, and network analysis to identify suspicious patterns and behaviours.
• Develop and deploy predictive models to inform risk-based decision-making.
• Apply machine learning, generative AI, NLP, and LLMs to enhance surveillance strategies.
• Build and refine automation tools and scripts for large-scale data analysis.
• Perform risk assessments, FTE modelling, and resource optimisation.
• Analyse financial crime trends and provide actionable intelligence.
• Ensure data quality and integrity across upstream and surveillance systems.
• Create compelling visualisations and data-driven narratives for stakeholders.

Key Requirements:

• 3–5 years of industry experience in generative models, deep learning, reinforcement learning.
• Strong background in NLP, LLMs, GenAI, OpenAI, Microsoft Cognitive Services.
• Advanced programming skills in Python, R, SQL; experience with SAS and PowerBI desirable.
• Proven ability to mentor and lead teams.
• Familiarity with AML, KYC, FATF regulatory frameworks.
• Strong communication and collaboration skills.

Interested candidates please share your resume to ***email_hidden***