About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
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. Specializes 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 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 UOB's AFC /AML models and helping to manage various internal and external stakeholders.
Job Responsibilities - Reports to Head, Regional DA Governance, covering DA development, 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 Anti Financial Crime analytics solutions and models without breaking anything or creating unintended effects in the production pipeline
Job Qualifications - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline. Master's degree preferred.
- Minimum of 10-12 years experience in data analytics, data science, or a related field, with at least 5 -7 years experience working with advanced analytical models/tools/applications (e.g., machine learning) , preferably within the financial services industry.
- Proven track record in building large-scale analytics projects, deploying and scaling ML/AI models or validation teams across multiple geographies.
- Expertise in various data analytics methodologies, statistical modeling, machine learning techniques, and data visualization tools.
- Proficiency in programming languages such as Python, R, SQL, and experience with big data technologies (e.g., Hadoop, Spark)
- Experience with schema design and dimensional data modeling
- Strong analytical, problem-solving, and critical thinking skills with the ability to translate complex data into actionable business insights.
- Basic understanding and knowledge of regulatory recommendations and industry standards related to AML/AFC/compliance risks
- Experience in or familiarity with analytics related to AML/AFC/compliance risks
- Ability to handle multiple priorities and work in teams or as an individual contributor
- Excellent communication, interpersonal, and presentation skills, with the ability to influence and engage stakeholders at all levels, communicate complex results in an easy-to-understand mannerand tailoring them to different audiences
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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