VP of Automation Analytics - United Overseas Bank

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading bank in Asia seeks an experienced Anti Financial Crime Analytics Specialist to enhance analytical capabilities and model development. The ideal candidate has over 6 years in advanced analytical fields and is skilled in data analysis tools such as SQL and Python. Responsibilities include developing models, managing projects, and supporting model governance in a collaborative environment.

Qualifications

• Minimum 6 years of experience in advanced analytical models/tools/applications.
• Experience or familiarity with analytics related to AML compliance risks.
• Experience on large-scale analytics projects.

Responsibilities

• Build UOB's AFC analytical capabilities in response to requests.
• Develop model narratives in collaboration with stakeholders.
• Undertake end-to-end AFC model development, including data analysis.
• Re-train and recalibrate existing AFC analytical models.

Skills

Data analysis

Project management

Machine learning

Analytical problem-solving

Communication

Education

Bachelor's degree in Data Science, Statistics, Finance, or related field

Master's degree or relevant professional certifications

Tools

SQL

Python

R

SAS

Hive

Spark

Impala

Job description

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.

Job Description

United Overseas Bank Limited is seeking an experienced and highly motivated Anti Financial Crime (AFC) Analytics Specialist to join our Group Compliance department. The ideal candidate will have a strong background in data analysis and be responsible for building UOB's AFC analytical capabilities in response to external and internal requests; developing, maintaining, and upgrading in‑house AFC analytical models when needed. Strong project management skills a plus.

New Model Development

• 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 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 AFC analytical models to prevent model drift periodically or as needed.

Model Governance

• 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.

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 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.

Additional Requirements

Develop, Engage, Execute, Strategise

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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