VP, Analytics
3 days ago
VP, Analytics & Automation
Location: Singapore, SG
Company: United Overseas Bank Ltd
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
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 fulfills its regulatory obligations in today’s tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and 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
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.
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.
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.
Job Requirements
Skills / Qualifications
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 preferably 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.
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.
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