VP, Analytics and Automation

• Work closely with model end-users and other key stakeholders (e.g., Head of AFC Analytics, Business Analyst, and Data Engineer) to identify additional areas which require analytics support or future model build and include those models in development pipeline.
• Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders.
• Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.
• Build a range of models (rule-based, supervised / unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed.

• Liaise with Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models.
• Re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed.

• Support the Head of AFC analytics in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models.
• Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards.

• Bachelor's degree in Data Science, Statistics, Finance, or a related field; a Master's degree or relevant professional certifications are a plus.
• Minimum 6 years of experience working in the technology space and with experience on advanced analytical models/tools/applications (e.g., machine learning).
• Experience in or familiarity with analytics related to AML compliance risks.
• Proficiency in data analysis tools and software, such as SQL, R, Python, or SAS.
• Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.
• Comfortable working with structured and unstructured data and distributed databases
• Familiar with natural language processing and network link analysis
• Prior experience working on large-scale analytics projects.
• Excellent analytical, problem-solving, and decision-making skills.
• Able to instill strong Model Governance throughout the model development cycle.
• Strong communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.
• Ability to handle multiple priorities and work under pressure.

UOB