Analyst, Risk Data

TNG Digital Sdn Bhd; Kuala Lumpur; On-site; MYR 90,000 - 130,000; Full time

Job summary

TNG Digital Sdn Bhd in Kuala Lumpur, Malaysia, is seeking an Analyst, Risk Data to develop data pipelines that underpin risk monitoring, reporting, and analytics. The role focuses on designing data sets, data marts, and reporting tables for risk use cases, and ensuring data quality across sources.

You will analyze transactional and operational data to identify risk trends, develop KRIs, and contribute to risk scoring models and detection strategies.

Qualifications

• Strong SQL and data engineering expertise.
• Experience with Python, Spark, Airflow, DBT or similar data tools.
• Knowledge of data warehousing and cloud platforms (Alicloud / AWS).

Responsibilities

• Develop, maintain, and optimize data pipelines for risk monitoring.
• Design datasets, data marts, and reporting tables for risk use cases.
• Monitor data quality and resolve data inconsistencies and issues.
• Develop and maintain risk dashboards and automated reports.
• Collaborate with Risk, Fraud, Compliance, Operations, Product, and Technology teams.

Skills

SQL

Data engineering

Python

Spark

Airflow

DBT

Data warehousing

Cloud platforms

Tools

Alicloud

AWS

Power BI

Tableau

QuickBI

Job description

# Analyst, *Risk Data*NEWKuala Lumpur, MalaysiaPermanent#### Duties & Responsibilities* Data Engineering & Data Management* Develop, maintain, and optimize data pipelines to support risk monitoring, reporting, and analytics. Design and manage datasets, data marts, and reporting tables for risk use cases. Perform data extraction, transformation, and validation from multiple data sources. Monitor data quality and resolve data inconsistencies and operational issues. Support the implementation of data governance, documentation, and lineage tracking practices. Collaborate with Data Engineering and Technology teams to improve data accessibility and reliability.* Risk Analytics & Monitoring* Analyze transactional, customer, and operational data to identify risk trends, anomalies, and emerging threats. Develop and maintain key risk indicators (KRIs), metrics, and monitoring frameworks. Conduct investigations and root cause analyses for fraud cases, risk incidents, and operational issues. Support the development, testing, and enhancement of risk rules, scoring models, and detection strategies. Evaluate risk control effectiveness and recommend data-driven improvements.* Reporting & Business Intelligence* Develop and maintain dashboards, reports, and automated monitoring solutions. Produce recurring and ad-hoc risk reports for management and business stakeholders. Ensure accuracy, completeness, and timeliness of reporting deliverables. Identify opportunities to automate manual reporting and analytical processes.* Stakeholder Management & Collaboration* Partner with Risk, Fraud, Compliance, Operations, Product, and Technology teams to understand business requirements and deliver data solutions. Translate business requirements into analytical and reporting deliverables. Present findings and recommendations to stakeholders in a clear and actionable manner. Support cross-functional projects related to risk management, fraud prevention, and process improvement.* Governance & Compliance* Ensure compliance with data governance, privacy, and security requirements. Maintain documentation for data processes, analytical methodologies, and reporting frameworks. Support regulatory reporting, audits, and risk reviews through accurate and traceable data outputs.* Key Deliverables* Reliable risk datasets and data pipelines. Automated risk dashboards and reports. Risk trend analyses and actionable recommendations. Data quality monitoring and issue resolution. Support for fraud, AML, operational risk, and risk management initiatives.#### Requirements* Strong SQL and data engineering expertise. Experience with Python, Spark, Airflow, DBT, or similar data tools. Knowledge of data warehousing and cloud platforms (i.e. Alicloud / AWS). Experience with BI tools such QuickBI, Power BI, Tableau, or other similar tools Understanding of fraud risk, credit risk, AML, operational risk, or enterprise risk management. Strong analytical, problem-solving, and stakeholder management skills. Excellent communication and presentation abilities.