Compliance Analytics & Insights Head

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, Thailand and Vietnam, 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.

About the Department

The Compliance function is a strategic partner and a trusted business enabler to the Board and senior management. It is our responsibility to ensure that the Group continuously fulfils its regulatory obligations in today’s tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and to assess regulatory risks. This collaboration also includes developing practical solutions that integrate regulations into operational requirements as well as actively shaping and promoting stronger compliance culture and literacy in the Bank.

Job Responsibilities

Data infrastructure and pipeline

• Create, build, and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources.

• Deliver high-quality, production-ready data pipelines that bring and cleanse data from source systems to support AFC model build.

• Implement processes/systems to monitor data quality, and drive optimization, testing and tooling to improve data quality.

• Design and/or evaluates open source or vendor tools to be used for data lineage mapping.

Support model development and deployment

• Liaise closely with relevant stakeholders to identify and assess suitability of data for AFC models; and ensure assembled data sets used for model build meet business requirements. Support Data Scientist(s) in ongoing testing and developing model narratives by providing inputs from a data perspective (e.g. data requirements & availability) to ensure the seamless deployment of new AFC analytics solutions and models.

• Create a model deployment pipeline to automate deployment of models in UOBV’s environments / systems, and work closely with stakeholders to ensure models are production ready.

Enhancement and Team Contributions

• Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, re-designing infrastructure for greater scalability) to improve data reliability, efficiency and quality.

• Support the validation team lead in defining and maintaining minimum standards of model performance, applicable at the time of model development and upheld via subsequent validation exercises. Keep up to date with changes to regulatory requirements, recommendations and industry standards in analytics and management of AML / AFC risk.

Model Validation

• Conduct independent validation of AFC / AML models as per the standards defined by the validation team, and document all findings in a comprehensive report, along with recommended areas of attention (to bridge any gaps identified)

• Check and challenge all steps of the model creation, data usage and value to the business.

Job Requirements

• The role is expected to have 5 - 10 years of experience working in the banking and technology and/or data analytics space, preferably 2 - 3 years of experience working in with advanced analytical models/tools/applications (e.g., machine learning, data-lake) in banking areas.

• Comfortable working with structured and unstructured data and distributed databases. Familiar with best practice development and validation standards

• Basic understanding and knowledge of banking, risk management, regulatory recommendations and industry standards related to AML/AFC/compliance risks. Experience in or familiarity with analytics related to AML/AFC/Compliance risks are advantages.

• Ability to clearly communicate complex results in an easy-to-understand manner and tailoring them to different audiences.

• Experience in data engineering tools, schema design, dimensional data modelling, robotic process, natural language processing and network link analysis

• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions.

• Bachelor’s degree, or equivalent, in Banking and Finance, Computer Science, Engineering, Statistics, Mathematics, Business Analytics etc.

Be a part of 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.

Apply now and make a difference.

We will review carefully your application and be in touch if your profile is shortlisted.