VP, Senior Data Scientist, Group Legal and Compliance Analytics

Role Overview

Reporting to the Machine Learning (ML) lead, the senior data scientist will be responsible for various data science and machine learning initiatives and projects in Group LCS.

What You Will Do

Own and execute machine learning products and initiatives regionally for Group LCS in selected verticals, conceptualise, plan, develop, and deliver relevant analytics models and innovative solutions.

Why It Might Be a Fit

Partner with domain experts and fellow data scientists from cross-functional teams to drive projects, provide guidance and mentorship to junior team members, and ensure adherence to the bank’s governance policy and best practices in AI/ML industrialisation.

Requirements

• Degree with a strong focus in machine learning, data mining, or statistical / mathematical modelling with deep theoretical knowledge
• 8+ years of relevant working experience, preferably the most recent 5+ years were on hands-on development of data analytics or AI/ML solutions
• Familiar with analytics and machine learning platforms and how it integrates with upstream and downstream data and production systems
• Hands-on experience in end-to-end data science projects covering problem formulation, exploratory data analysis, ML modelling, production deployment, monitoring and production support
• Familiar with developing machine learning pipelines following dev practice such as versioning, branching, merging, linting, testing and writing codes in a structured and modularized way
• Able to analyse business needs, and articulate the solution framework, including the model output, business decision and potential impact to drive the adoption of the solution
• Comfortable working on complex problems, with experience delivering solutions that work under the business or technical constraints, using cutting-edge tools in an agile environment
• Good presentation and communication skills. Able to explain technical concepts and solutions to a non-technical audience
• Technical skills: Python, PySpark, SQL, libraries and tools for ML, data visualisation and dashboard, practical experience with cloud platforms
• Experienced and comfortable working with AI assisted development tools
• An understanding of the legal and compliance issues of complex banking organizations will be a plus