Job Description

About UOBUnited 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. x 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 DepartmentThe Retail function provides Personal and Business Banking customers with financial solutions tailored to their needs. We help them manage their money wisely and meet their financial goals through an extensive range of products and services. These include deposit, insurance, secured and unsecured loans, investment and wealth advisory services.Personal Financial ServicesWe design and provide products and services that empower our customers to enjoy greater banking convenience while they extract more value from their money. In particular, we are focused on promoting and developing healthy saving and investment practices across generations.The COO Office has Business Risk & Control teams across various risk types, acting as safeguard for the businessJob ResponsibilitiesSupport model maintenance

• Liaise with Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models
• Re-train and recalibrate existing FCR 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 FCR Analytics, 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 with the business and other relevant stakeholders
• Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end FCC 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

Special projects

• Support special / high-priority projects, including building FCR analytical capabilities in response to external (e.g., regulatory) requests 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 practices within the bank, in relation to FCC/ AML
• Communicate with Business Analyst to understand new regulatory requirements / policy updates relating to the areas / risks covered by the FCC analytical models and work with the relevant teams to ensure that these updates are appropriately reflected in those models

Model governance

• Support the Head of Customer Franchise & Analytics or delegates 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

• 6 - 8 years of experience working in the technology space and preferably at least 2 - 4 years of data science / data analytics experience
• At least 2 - 4 years of experience working with advanced analytical models/tools/applications (e.g., machine learning).
• Prior experience working on large-scale analytics projects would be preferred
• Strong project management skills with at least 4 years of experience
• Experience in or familiarity with analytics related to AML/FCR/compliance risks
• Ability to clearly communicate technical results in an easy-to understand manner and tailoring them to different audiences
• Bachelor\'s degree, or equivalent, in Computer Science, Engineering, Statistics, Mathematics, Business Analytics etc.

Technical skills

• R, SAS, SQL 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
• Familiarity with one or more BI and dashboarding tool such as Qlik, Power BI or Tableau.
• Excellent data visualization and communication skills to present findings and insights to different stakeholders, including non-technical business users.
• Familiar with natural language processing and network link analysis
• Familiar with best practice development standards

Be a part of UOB FamilyUOB 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.Competencies1. Strategise2. Engage3. Execute4. Develop5. Skills6. ExperienceApply nowStartPlease wait...

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