Vice President, Data Scientist, Group Retail
United Overseas Bank Open At a glance
VP-level Data Science role at United Overseas Bank. Central Region · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Refresh and recalibrate FCR models when performance feedback or model drift calls for changes
- Build FCC models end to end, from preparing data and selecting features to training and testing models
- Work with model users and stakeholders to identify analytics needs and document each model’s purpose, logic, inputs and outputs
- Develop rule-based and machine-learning models using structured, semi-structured or unstructured data
- Support regulatory and internal projects, update models for policy changes, and take part in governance and bias reviews
What you bring
- You have six to eight years in technology, including two to four years in data science or analytics
- You bring at least two to four years using advanced analytical models, plus four years managing projects
- You hold a bachelor’s degree or equivalent in computer science, engineering, statistics or another listed field
- You can use SQL, Python, R or SAS for analytics and work with data preparation and machine-learning libraries
- You can explain technical findings to different audiences and have familiarity with AML, FCR or compliance risks
Who this fits
This VP role suits an experienced data scientist who can develop and maintain financial crime models, handle model governance, and communicate results to technical and business stakeholders. The position is based in Singapore’s Central Region.
From the employer
About UOB
United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.
Job Description
RESPONSIBILITIES AND ACTIVITIES
Support 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
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.
Having data analytics experience in Anti Financial Crime is a strong plus.
Technical skills
Candidate is expected to be an expert in using SQL, Python, R, or SAS for data science and advanced analytics, 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
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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