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VP, Analytics Specialist, Group Retail

Posting Date:  13-Jan-2023

Raffles Place, Singapore, Singapore

Company:  3677

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

You will be part of the Anti-Financial Crime (AFC) team within Group Retail that covers a range of banking segments and products. You are a competent subject matter expert in anti-money laundering, countering the financing of terrorism, sanctions and fraud.

Job Responsibilities

  • Work closely with front-line teams, group and business compliance teams and integrated fraud management teams to understand new risk typologies, business needs and translate them into problem statements, develop analytics solution and ensure smooth data-to-insights conversion to both technical and non-technical stakeholders
  • Manage, build and deliver analytical solutions including dashboards and models to help businesses track various effectiveness and risk metrics:
  • Develop predictive or analytical models using advanced modelling methods to capture emerging business risk and act as model owner to implement the model and maintain model performance
  • Perform data mining on both structured and unstructured data to identify emerging new risk trends and typologies, which ultimately leads into delivering end-to-end analytical solutions from requirements gathering, POC, implementation and maintenance
  • Develop dashboard or visualization for tracking and monitoring of trends and model outputs 
  • Own and manage UOB’s business intelligence tool / dashboard (ie, Qliksense)
  • Represent business users to liaise with other modelling teams/external vendor during development of new models to capture business requirements and use cases, test of model performance and managing model transition risk and impact to business
  • Lead projects to identify process inefficiencies in Bank’s operations and implement automation solution to streamline manual processes and minimize errors
  • Support any data management / engineering activities related to Bank’s AML database– e.g. involved in exercise to identify, ingest and prepare data from Bank’s database(s) to playpen/cubes, and ultimately for consumption to product analytical solutions

Job Requirements

•            Undergraduate degree in a quantitative programme, such as Statistics, Mathematics, Business Analytics, Actuarial Science, Financial Engineering, etc. MBA / post graduate degree is an added advantage

•            Minimum 3-4 years of experience working in the financial services industry or from management consulting background (advantageous)

•            Comfortable working with data, supported by strong analytics skills and modelling skills

•            Have prior experience with data visualization tool (e.g. Power BI, Qlik etc.) and data analytics tool (e.g. R, Python, SAS, SQL)

•            Analytical mind with sound business insight, excellent communicator (verbal and written), highly meticulous, and self-motivated


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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