Company: 1011 United Overseas Bank Ltd

About UOB

United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values - Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.

Job Description

Data Analytics and Insights area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. Responsible for analyzing and reporting on data sets for a particular area to evaluate, recommend and support the implementation of business strategies and operational processes. Specialize in working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes.

Job Summary

Responsible for building Regional AFC (Anti financial Crime) analytical capabilities in response to external and internal requests adopting in house AFC analytical models into countries context. These includes driving and providing guidance to country AFC analytics team when engaging with the business, GC/AFC, regulators etc to understand the needs and requirements.

Responsible for conducting regular validation of Group Compliance's AFC /AML models and helping to manage various internal and external stakeholders.

Job Responsibilities

• Reports to Head, Regional DA Governance, covering DA development and support
• Liaise closely with relevant stakeholders to identify and assess suitability of data for AFC models, working alongside Business Analyst and ensure assembled data sets used for model build meets business requirements
• Design and implement advanced AML / Fraud detection models, rules, algorithms and dashboards using big data analytics tools such as Python, Hive, Spark and Impala.
• Active participation in developing model narratives by providing inputs from a data perspective (e.g., data requirements, data availability)
• Active participation in ongoing testing of models/outputs during development, prior to more formal model validation by an independent team
• Create a model deployment pipeline to automate deployment of models in UOB's environments/systems, and work closely with Data Scientist(s) in the Modelling team and other stakeholders (e.g., Group Technology and Operations) to ensure models are production ready
• Ensure the seamless deployment of new AFC Fraud analytics solutions and models without breaking anything or creating unintended effects in the production pipeline
• Own the regional DA product vision, outcome roadmap and prioritised backlog, translating AFC and Compliance needs into measurable user and control outcomes.
• Lead user discovery, pilots and validation with country teams, investigators and control stakeholders; adopt explainable, human-led AI and automation.
• Partner with Product Tech, Data Science and Technology on feasibility and release readiness while preserving clear technical, product and risk-accountability boundaries.
• Drive adoption and value realisation after launch, monitoring workflow quality, control effectiveness and unintended outcomes across the product lifecycle.

Job Requirements

• Minimum 10-15 years of experience working in tech industry and 8-10 years of experience in a data engineering and/or data operations role, ideally in the financial services industry. Experience in financial crime analytics or risk management preferred
• Bachelor's degree in Computer/Data Science, Computer Engineering, IT, Statistics or equivalent
• Proficiency in data analysis tools and software (SQL, R, Python, or SAS) to code complex data engineering use cases
• Experience with big data analytics tools and frameworks such as Hive/Impala, Oozie, Hadoop, etc.
• Experience with Data Architecture, Data Warehouse, Data Model / schema design and dimensional data modeling
• Experience with robotic process automation (RPA) and their use in disseminating analytics outcomes
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Excellent analytical, problem-solving, and decision-making skills
• Experience in deploying and scaling AI/ML models
• Strong people skills and take a big picture approach to planning
• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions
• Able to instill strong Model Governance throughout the model development cycle
• Proven end-to-end ownership of complex data, analytics, AI/ML or workflow products, from discovery through launch, adoption and value realisation.
• Strong banking, AML/AFC, fraud, sanctions, KYC/CDD or other regulated-risk experience, with sound control, evidence and auditability judgement.
• Practical product-management skills covering user research, journey design, outcome roadmaps, prioritisation, backlog, acceptance criteria and product analytics.
• Effective cross-functional leadership and senior-stakeholder communication across Compliance, country teams, Technology, data/AI specialists and independent control functions.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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