Mgr, Compliance Analytics and Insights

Singapore
Permanent
Full-time

16 days ago

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. 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 DescriptionAbout the DepartmentThe 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 fulfils its regulatory obligations in today’s tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and to 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 Summary:We are seeking a data-driven professional to support compliance initiatives through advanced analytics, dashboard development, and automation. This role bridges compliance and technology, enhancing fraud detection and Ant Money Laundering (AML) workflows via data insights and visualization tools.ResponsibilitiesDashboard or Automation initiatives Enhancement/ Maintenance

Develop and enhance dashboards for internal fraud and AML monitoring.
Liaise with Business Analyst and stakeholders to refine detection dashboard/rules and incorporate AFC investigation /business feedback.

Participate in detection model governance process, including but not limited to dashboard testing, assessing dashboard rules for biases, effectiveness or usability.
Work closely with Fraud Data Analytics team and Business Analyst for updates required to re-train and recalibrate existing AFC /internal fraud analytical models or detection rules.
Update or develop dashboard / automation narratives in collaboration with AFC/ relevant stakeholders for internal Fraud / AML Workflow priority projects.

Systems & Dashboard Testing and Validation

Participate in user testing of new AFC analytics tools and systems upgrades for internal Fraud / AML Workflow priority tech projects.
Collaborate with technology team to support AML Workflow AWF and/or Internal Fraud dashboard.
Leverage on Data Analytics / Business Intelligence, deliver data-driven insights to aid investigations and regulatory reporting for Internal Fraud dashboard monitoring or AWF initiatives
For project delivery role, this includes participating in Business Requirement, Functional Specification Review & User Acceptance Test (UAT) process through System Development Life Cycle where applicable
Provide BAU support for Internal Fraud system BAU alerts pre-screen support for the AFC/ investigation team and system maintenance support.
Participate in strategic initiatives requiring advanced analytics and visualization capabilities

AML Workflow (AWF) and Anti-Fraud: Support priority /strategic initiatives, particularly those requiring enhanced analytical /dashboard visualization capabilities for regulatory or internal intelligence purposes. Participate and support AWF or Internal Fraud related projects, for designated dashboard enhancement, system project testing and BAU system support /alerts initiatives on delivery and monitoring.Experiences / Qualifications

Education: Bachelor’s degree in Data Science, Statistics, Finance, Business Information Systems, Computer Science, or equivalent; Relevant professional certifications /experience in Fraud Detection/ Risk Management, Anti-Money Laundering (AML), compliance, or data science is a plus.
Proficient in Data & Business Intelligence tools such as SQL, Relational Database, Data Analytics /Visualization tools (e.g. QlikSense,Tableau or PowerBI). Experience in Banking/ Compliance Analytical Data Management will be an added advantage

Experience: Minimum of 2-4 years in the financial services industry, with exposure to AML/Anti-Fraud system, and at least 1-2 years in dashboard /model delivery project support role.

Analytical Skills: Strong analytical and problem-solving skills, ability to translate data into actionable insights and data story.
AI/ML Knowledge: An understanding of AI/ML applications in compliance is a plus
Communication and Collaboration: Good interpersonal and communication skills, effective communicator with cross-functional collaboration skills, to interact effectively with a diverse group of people such as business users, technical partners and vendors
Soft Skills: Self-motivated, inquisitive, detail-oriented and adaptable to dynamic environments
AML / Anti-Fraud Knowledge: Basic understanding of AML/CFT regulations, transaction monitoring systems, and anti-financial crime compliance practices will be a plus

Self-starter, able to function/perform with minimal supervision in a non-structured environment. Ability to multi-task and complete deliverables within tight timelines

Additional RequirementsEnglish, Responsibilities
Dashboard or Automation initiatives Enhancement/ Maintenance
Develop and enhance dashboards for internal fraud and AML monitoring.
Liaise with Business Analyst and stakeholders to refine detection dashboard/rules and incorporate AFC investigation /business feedback.
Participate in detection model governance process, including but not limited to dashboard testing, assessing dashboard rules for biases, effectiveness or usability.
Work closely with Fraud Data Analytics team and Business Analyst for updates required to re-train and recalibrate existing AFC /internal fraud analytical models or detection rules.
Update or develop dashboard / automation narratives in collaboration with AFC/ relevant stakeholders for internal Fraud / AML Workflow priority projects.Systems & Dashboard Testing and Validation
Participate in user testing of new AFC analytics tools and systems upgrades for internal Fraud / AML Workflow priority tech projects.
Collaborate with technology team to support AML Workflow AWF and/or Internal Fraud dashboard.
Leverage on Data Analytics / Business Intelligence, deliver data-driven insights to aid investigations and regulatory reporting for Internal Fraud dashboard monitoring or AWF initiatives
For project delivery role, this includes participating in Business Requirement, Functional Specification Review & User Acceptance Test (UAT) process through System Development Life Cycle where applicable
Provide BAU support for Internal Fraud system BAU alerts pre-screen support for the AFC/ investigation team and system maintenance support.
Participate in strategic initiatives requiring advanced analytics and visualization capabilities
AML Workflow (AWF) and Anti-Fraud: Support priority /strategic initiatives, particularly those requiring enhanced analytical /dashboard visualization capabilities for regulatory or internal intelligence purposes. Participate and support AWF or Internal Fraud related projects, for designated dashboard enhancement, system project testing and BAU system support /alerts initiatives on delivery and monitoring.Experiences / Qualifications
Education: Bachelor’s degree in Data Science, Statistics, Finance, Business Information Systems, Computer Science, or equivalent; Relevant professional certifications /experience in Fraud Detection/ Risk Management, Anti-Money Laundering (AML), compliance, or data science is a plus.
Proficient in Data & Business Intelligence tools such as SQL, Relational Database, Data Analytics /Visualization tools (e.g. QlikSense,Tableau or PowerBI). Experience in Banking/ Compliance Analytical Data Management will be an added advantage
Experience: Minimum of 2-4 years in the financial services industry, with exposure to AML/Anti-Fraud system, and at least 1-2 years in dashboard /model delivery project support role.
Analytical Skills: Strong analytical and problem-solving skills, ability to translate data into actionable insights and data story.
AI/ML Knowledge: An understanding of AI/ML applications in compliance is a plus
Communication and Collaboration: Good interpersonal and communication skills, effective communicator with cross-functional collaboration skills, to interact effectively with a diverse group of people such as business users, technical partners and vendors
Soft Skills: Self-motivated, inquisitive, detail-oriented and adaptable to dynamic environments
AML / Anti-Fraud Knowledge: Basic understanding of AML/CFT regulations, transaction monitoring systems, and anti-financial crime compliance practices will be a plus
Self-starter, able to function/perform with minimal supervision in a non-structured environment. Ability to multi-task and complete deliverables within tight timelines, University-Bachelor - Computer Science, University-Bachelor - Engineering, University-Bachelor - Mathematics, University-Bachelor - StatisticsBe a Part of the 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

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