Compliance Analytics & Insight 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 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.

About the Department

Job Responsibilities

Support model maintenance

• Liaise with countries Business Analyst to receive and understand business feedback on model performance and incorporate feedb ack into models'
enhancement/ maintenance.
• Together with country data analytics team and centralized modelling team perform re train and recalibrate existing AFC analytical models to prevent
model drift periodically or as needed.
New model development
• Work closely with model end users and other key stakeholders (e.g., Head of Modelling, Business Analyst, Data and Ops Engineer, GC) 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 wi th the business and
other relevant stakeholders in respective countries.
• Work closely with centralized modelling Data Scientist(s) and countries Business Analyst, and to support regional AFC model d eve lopment for various
range of models (rule based, supervised/unsupervised models, etc.) on structured, semi structured, and/or unstructured data if n eeded
Special projects
• Support special/high priority projects, including building AFC analytical capabilities in response to external (e.g., regulatory) reques ts or internal
intelligence, or based on gaps identified for existing analytical capabilities/models
• Keep abreast with the latest, cutting edge developments in data science and advanced analytics and recommend adoption of best pr actices within
the bank, in relation to AFC/AML
• Communicate with countries Business Analyst to understand new regulatory requirements/policy updates relating to the areas/ri sks covered by the
AFC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those mode ls
Model governance
• Support the Head of Analytics Assurance 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

Job Requirements

• 5 10 years of experience working in the technology space
and preferably 2 4 years of data science/data analytics
experience
• 1 2 years of experience working with advanced analytical
models/tools/applications (e.g., machine learning)
• Prior experience working on large scale analytics projects
• Experience in or familiarity with analytics related to
AML/AFC/compliance risks
• Ability to clearly communicate technical results in an easy to
understand manner and tailoring them to different audiences
• Ability to handle multiple priorities and work under pressure
• Bachelor’s degree, or equivalent, in Computer Science,
Engineering, Statistics, Mathematics, Business Analytics etc.
Technical skills
• R and Python for data science , with practical knowledge of
data wrangling and machine learning libraries (e.g., Pandas,
Keras , Tensorflow , Sklearn
• Comfortable working with structured and unstructured data
and distributed databases
• Familiar with natural language processing and network link
analysis
• Familiar with best practice development standards

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.