VP, System Analyst (Data), Group Technology & Ops

1011 United Overseas Bank Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

1011 United Overseas Bank Ltd seeks a data analytics leader to drive end-to-end analytics initiatives, focusing on deterministic and ML-enabled insights for credit, risk, and customer analytics.

The role involves architecture for unstructured data, governance, explainability, and regulator-ready solutions across data platforms, leveraging NLP and AI tools to deliver actionable outcomes.

Qualifications

• Experience building enterprise data analytics solutions for financial services.
• Proficiency with NLP-enabled analytics and text classification/use cases.
• Ability to design data architectures for unstructured data and AI-driven insights.
• Knowledge of regulatory requirements and explainability/audit controls.

Responsibilities

• Lead end-to-end data and analytics delivery across the SDLC for risk and performance insights.
• Translate business and regulatory needs into scalable analytics designs and data solutions.
• Ensure data quality, governance, lineage, and regulatory compliance across platforms.
• Collaborate with ML/NLP teams to deploy regulator-ready models and dashboards.

Skills

Data analytics

NLP

Machine learning

Regulatory compliance

Education

Bachelor's degree in Computer Science or Engineering

Tools

Databricks

Snowflake

Azure / BigQuery

Job description

Company

1011 United Overseas Bank Ltd

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. We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region.

Job Description

This role requires strong system‑level expertise across deterministic, rule‑based decisioning, machine‑learning‑assisted analytics, NLP on unstructured data, and real‑time “data to insight” use cases, with focus on design, governance, explainability, and regulatory acceptability. And expertise in building Retail data analytics solutions to support targeted at Digital engagement/ Acquisition/ profitability/ AUM/ Sales/ management/ Credit Risk Analytics – Credit Risk Exposure, NPL, Counterparty Risk, Credit Scoring & Decision Support Systems – Behavior Scores, Collection, Customer Segmentation with focus on design, governance and scalability. The role spans requirements analysis, solution design, testing, implementation, and production support ensuring high‑quality, scalable, and compliant data platforms that support advanced analytics and AI initiatives. You will be responsible for end‑to‑end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture. Experience with Campaign Analytics, Credit Scoring & Decision systems, Retail & Wholesale Datamarts will of advantage.

Key Responsibilities

• Lead end‑to‑end solution delivery for data and analytics across the full SDLC. Analyze business and regulatory requirements, translate them into scalable solution designs & provide estimations. Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner. Review and approve test strategies, functional test cases, and data validation approaches. Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines. Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling. Partner with production support team to conduct root cause analysis, resolution, and preventive controls. Drive productivity, efficiency & quality improvements across delivery and operational processes. Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement. Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms. Strong understanding of AI design governance, including explainability, lineage, confidence thresholds, and regulatory acceptability of AI‑assisted insights.

Functional Skillsets

• Enterprise Data, Analytics & Unstructured Data Enablement
  Proven experience delivering large‑scale analytics platforms within financial services spanning structured, semi‑structured, and unstructured data Strong capability in requirements analysis and functional design for analytics use cases involving Transactional data, Investigator narratives, Case notes and alerts, Policy & Customer communications documents Experience defining data quality, governance, lineage, and reconciliation controls for both structured and NLP‑derived datasets. Ability to support self‑service analytics while enforcing data access, usage boundaries, and regulatory controls.
• Unstructured Data & NLP‑Enabled Analytics
  Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi‑structured data within enterprise data platforms. Experience translating business requirements into NLP‑enabled analytical use cases, such as Text classification and categorization, Entity & relationship extraction, Risk indicator identification, Summarization of alerts, cases, or documents Ability to distinguish between exploratory AI outputs and decision‑grade, regulator‑consumable datasets, and define appropriate controls for each.
• Machine Learning – Applied & Statistical Expertise
  Strong understanding of machine learning concepts and statistical principles, including Classification vs regression use cases, Model accuracy, bias, stability, and drift, Feature relevance and data dependency Experience defining model inputs, outputs, validation criteria, and usage boundaries for regulated analytics and decisioning. Ability to work with data science teams to ensure ML models are fit‑for‑purpose, explainable, and regulator‑acceptable.
• Knowledge Graph & Relationship‑Based Analytics
  Ability to design and govern an enterprise knowledge layer defining relationship taxonomies, entity resolution rules, and linkage logic Ability to translate use cases into relationship‑driven analytical designs, such as Network‑based risk identification, Hidden association and indirect exposure analysis, Related‑party and concentric risk detection Strong understanding of how relationship intelligence integrates with rule‑based scoring, ML models, and NLP‑derived entities to enhance decision support systems.
• Rule‑Based Analytics & Decision Support Systems
  Strong experience defining and governing rule‑based scoring models and decision support systems used in financial services domain Experience designing hybrid decision architectures, where deterministic rules operate alongside ML and NLP‑driven insights. Understanding of model overrides, thresholds, explainability, and audit controls required for regulated decisioning systems.
• Modern Data Architecture
  Strong experience defining and governing enterprise Data architectures to support batch, micro‑batch, and near real‑time analytics. Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases Working understanding open table formats (e.g. Iceberg, Delta) and their implications on data consistency, auditability, schema evolution, regulatory traceability.

Job Requirements

Data Platforms & Architecture

Enterprise Data platforms (e.g., Databricks, Snowflake, Azure Fabric, Google BigQuery) Open table formats: Apache Iceberg, Delta Lake, Apache Hudi Distributed processing & query engines: Spark, Trino/Presto, Hive Performance optimization techniques: partitioning, clustering, caching, data skipping, workload isolation Cost optimization strategies: tiered storage, lifecycle management, workload governance.

Programming & Analytics

SQL, BTEQ, GCFR Python (Pandas, NumPy)

BI & visualization tools

Power BI, QlikSense

Data Integration & Quality

Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue Data ingestion patterns: batch, CDC, streaming Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

Data modelling, critical data elements, regulatory reporting Fine‑grained data access controls (row‑level, column‑level, masking) Metadata management, lineage, and impact analysis Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

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.