Data Scientist - Risk Analytics

Prudential plc; Kuala Lumpur; Vor Ort; MYR 180.000 - 320.000; Vollzeit

Zusammenfassung

Prudential plc in Kuala Lumpur seeks a Data Scientist to apply advanced analytics, machine learning, and data science techniques to transform data into actionable insights. You will design, build, and deploy data-driven solutions that strengthen risk monitoring, governance, and reporting, partnering with risk, analytics, and technology teams.

The role emphasizes scalable pipelines, predictive and diagnostic models, GenAI-enabled risk intelligence, and communicating findings to senior

Qualifikationen

• Experience applying advanced analytics and machine learning to transform data into actionable insights.
• Ability to design and implement analytics solutions across risk and business stakeholders.
• Strong communication of technical findings to non-technical audiences.

Aufgaben

• Design, develop, and implement advanced analytics and machine learning solutions to support risk management, intelligence, and business performance objectives.
• Build and maintain scalable data pipelines to acquire, cleanse, transform, and integrate data from multiple sources.
• Build predictive, descriptive, and diagnostic models to identify trends, patterns, and emerging risks, including GenAI and agentic AI solutions that enhance risk intelligence, decision-making, operational efficiency, and governance effectiveness.
• Develop automated reporting, dashboards, and data products that provide actionable insights to stakeholders and senior management.
• Analyze large and complex datasets from multiple sources to support assurance and risk review activities to proactively identify, monitor, and flag potential non-compliance or control weaknesses.
• Collaborate with cross-functional teams to translate business requirements into scalable analytical solutions.
• Support the deployment, monitoring, and continuous improvement of analytical models and AI-driven capabilities.
• Promote data-driven decision making by communicating findings, insights, and recommendations to both technical and non-technical audiences.

Kenntnisse

Advanced analytics

Machine learning

Data science

Risk analytics

Data pipelines

Stakeholder collaboration

Jobbeschreibung

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Role Purpose:

The role is within the Group Technology Risk Management department, reporting to the Head of Risk Analytics & Intelligence.

As a Data Scientist at Prudential, you will leverage advanced analytics, machine learning, and data science techniques to transform data into actionable business insights. You will play a key role in developing analytical solutions that enhance risk management, drive operational efficiency, and support strategic decision-making across the organization.

Working closely with business stakeholders, risk teams, and technology partners, you will design, develop, and deploy data-driven solutions that address complex business challenges. Your work will contribute to strengthening risk monitoring capabilities, improving governance and reporting processes, identifying emerging risks, and enabling data-informed decisions.

Key Roles & Responsibilities:

• Design, develop, and implement advanced analytics and machine learning solutions to support risk management, intelligence, and business performance objectives.
• Build and maintain scalable data pipelines to acquire, cleanse, transform, and integrate data from multiple sources.
• Build predictive, descriptive, and diagnostic models to identify trends, patterns, and emerging risks, including GenAI and agentic AI solutions that enhance risk intelligence, decision-making, operational efficiency, and governance effectiveness.
• Develop automated reporting, dashboards, and data products that provide actionable insights to stakeholders and senior management.
• Analyze large and complex datasets from multiple sources to support assurance and risk review activities to proactively identify, monitor, and flag potential non-compliance or control weaknesses.
• Collaborate with cross-functional teams to translate business requirements into scalable analytical solutions.
• Support the deployment, monitoring, and continuous improvement of analytical models and AI-driven capabilities.
• Promote data-driven decision making by communicating findings, insights, and recommendations to both technical and non-technical audiences.

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.