AI/Machine Learning Engineer

RESPONSIBILITIES & TASKS:

AI Solution Development

• Design, develop, test, and deploy AI/ML models supporting business and operational outcomes.
• Build and maintain AI services, APIs, and microservices for enterprise consumption.
• Develop Generative AI and Agentic AI solutions using approved enterprise platforms and frameworks.
• Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
• Develop prompt engineering, evaluation, and optimization approaches for AI systems.

AI Platform Engineering and MLOps

• Develop and maintain AI model deployment pipelines and model lifecycle processes.
• Build automated testing, deployment, monitoring, model versioning, and release management capabilities.
• Support production deployment of models and AI services aligned to enterprise architecture standards.

Data Engineering and Integration

• Design and develop data pipelines required for AI model training and inference.
• Integrate AI solutions with enterprise applications, cloud platforms, APIs, databases, and data warehouses.
• Support data preparation, feature engineering, and operationalization of AI models.

AI Operations, Monitoring, and Continuous Improvement

• Monitor model performance, accuracy, reliability, cost, and operational stability.
• Implement observability and monitoring frameworks for AI workloads.
• Investigate production issues, perform root-cause analysis, and implement corrective actions.
• Tune and optimize models and AI services for performance, quality, and usability.

Security, Governance, and Responsible AI

• Ensure AI solutions align with enterprise AI governance, information security, privacy, and data protection requirements.
• Apply responsible AI principles including fairness, transparency, explain ability, reliability, and human oversight.
• Support AI risk assessments, security reviews, and compliance documentation.

Collaboration and Enablement

• Work closely with business stakeholders, Data Scientists, solution architects, application teams, and platform engineers.
• Participate in AI use case discovery, design workshops, technical reviews, and implementation planning.
• Support knowledge sharing and AI capability development across regional subsidaries.

SKILLS & QUALIFICATIONS:

• Minimum 8 years of experience in software engineering, AI engineering, machine learning engineering, or related disciplines. 
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related discipline.
• Experience developing production-grade AI/ML solutions, working with cloud-native platforms, and implementing machine learning models in enterprise environments.

Technical Skills

• • Python
  • Machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn
  • LLM and agent frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen
  • API development and microservices
  • Vector databases and RAG architectures
  • MLOps platforms, CI/CD, and model lifecycle management
  • SQL and data engineering
  • Cloud services across AWS, Azure, or GCP
  • Container technologies such as Docker and Kubernetes
  • Git and DevOps practices

Data Scientist

RESPONSIBILITIES & TASKS:

 Data Exploration and Analysis

• Perform exploratory data analysis on enterprise datasets to identify trends, patterns, anomalies, and opportunities.
• Develop analytical frameworks to support operational, commercial, and strategic decision-making.
• Translate business problems into analytical questions, hypotheses, and measurable outcomes.

Predictive and Prescriptive Analytics

• Develop predictive, classification, forecasting, segmentation, recommendation, and optimization models.
• Build statistical models to support business planning, resource allocation, and performance improvement.
• Conduct scenario modelling, sensitivity analysis, and what-if analysis to guide management decisions.
• Evaluate model effectiveness, explain results, and assess business impact.

AI and Machine Learning

• Collaborate with AI/ML Engineers to operationalize models into reliable production solutions.
• Support experimentation with Generative AI, Agentic AI, and advanced analytics use cases.

Business Intelligence and Executive Insights

• Prepare executive-level insights, recommendations, dashboards, and presentations.
• Develop reports and visualizations that clearly communicate business performance and analytical findings.
• Support KPI definition, measurement frameworks, and value realization tracking for AI and analytics initiatives.

Data Governance and Quality

• Promote high-quality, trusted, and responsible data usage across analytics and AI activities.
• Support the establishment of data standards, data definitions, and governance practices.
• Monitor data quality and ensure analytical outputs are based on fit-for-purpose data.
• Ensure compliance with privacy, regulatory, and information security requirements.

Research and Innovation

• Evaluate emerging analytics and AI technologies, modelling techniques, and business applications.
• Identify new opportunities to create competitive advantage using data, analytics, and AI.

SKILLS & QUALIFICATIONS:

• Minimum 6 years of experience in Data Science, Advanced Analytics, Business Analytics, Statistics, or related disciplines. 
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline. 
• Experience delivering business insights through data analysis, developing predictive and machine learning models, and engaging directly with business stakeholders.

Technical Skills

• • Python
  • R desirable
  • SQL
  • Machine learning
  • Statistics and experimental design
  • Forecasting techniques
  • Data visualization and storytelling
  • Power BI or equivalent BI tools
  • Snowflake or modern cloud data platforms
  • Data modelling and feature engineering

Business Development & Sales Support Manager

Purpose 

 To provide operational management of the strategy and Sales function to ensure delivery across all regions and segments to grow revenue and profit and to drive genuine and consistent sales excellence.

 Key Accountabilities

• To ensure the Sales function meets all internal and external governance and regulatory requirements and have in place a robust first line of defense that demonstrates effective controls and best practice.
• To build strong relationships, share insight and ensure all key accountabilities are met in order to learn and improve as a business.
• Leadership accountability for the Sales Operations team, working alongside Heads of Sales, Sales Managers and sales force across all Segments.
• Effective execution of sales strategy by working in collaboration with Sales Leaders to build a high performance culture ensuring our people are engaged and motivated in order to develop our expertise.
• Build consistency across all segments to ensure achievement of genuine sales excellence.
• Responsibility for regulatory, compliance and governance frameworks by facilitating and driving implementation of General Insurance and regulatory governance.
• Takes an overview of Sales related work streams and projects and takes responsibility for delivering key components and achievement of success criteria and commercial measures.
• Delivery of Sales Management Information to ensure clarity in performance across various metrics in line with objectives and targets and business plans.
• Play a key role in the Sales Leaders meetings and peer review with a focus on best practice, building expertise, team performance, personal development, succession planning and compliance.
• Lead and drive agency recruitment strategies to achieve manpower growth targets across all distribution channels and segments.
• Develop and execute recruitment initiatives, campaigns and activation programmes to attract high-quality candidates into the agency force.
• Design, implement and manage recruitment scheme packages, incentive programmes and onboarding support to improve recruitment productivity, activation and retention of new agents.
• Collaborate closely with Heads of Sales, Sales Managers and Agency Leaders to identify recruitment opportunities, build candidate pipelines and achieve agreed recruitment KPIs.
• Monitor recruitment performance, licensing progression and activation rates, providing insights and recommendations to improve recruitment effectiveness and quality.
• Drive new agent onboarding, licensing and early-stage productivity programmes to ensure successful transition from recruitment to active production.
• Establish and maintain strategic partnerships with universities, professional associations, corporate organisations and referral networks to strengthen recruitment channels and employer branding.
• Support the development of future agency leaders through structured talent identification, succession planning and leadership development initiatives.
• Ensure all recruitment activities, campaigns and schemes comply with internal governance, regulatory requirements and industry guidelines.
• Leverage recruitment analytics and management information to measure recruitment outcomes, identify trends and support data-driven decision-making.

Role Summary

As Pricing Assistant Manager, you will take a proactive and independent role in the end-to-end pricing process for new product development. You will work with minimal supervision, leading pricing projects, collaborating across departments, and ensuring regulatory and business requirements are met. You will support the manager in driving pricing excellence and provide guidance to junior team members.

Key Responsibilities: -

Product Pricing & Development

• Lead the pricing process for assigned new products, ensuring timely and accurate delivery.
• Independently test and validate pricing models and tools, ensuring their reliability and compliance.
• Compile and review product features, pricing assumptions, and profitability analysis with minimal guidance.
• Critically evaluate product specifications and documentation during product development, ensuring consistency with pricing strategy and regulatory requirements.
• Review policy documents and marketing materials, providing comprehensive feedback to ensure alignment with product design, pricing, and regulatory standards.
• Prepare and present pricing reports for internal and regional approvals.
• Coordinate and compile supporting documentation for new product submissions to BNM.

System Support

• Independently conduct and document User Acceptance Testing (UAT) for product and system value verification.
• Identify and resolve discrepancies between system calculations and actual pricing or product functionality.
• Lead updates and maintenance of Front End and Back End systems related to product pricing.
• Perform and oversee ad hoc calculations as required, ensuring accuracy and timeliness.
• Collaborate effectively with stakeholders including IT, New Business, Servicing, and other relevant teams.

Technical & Operational Support

• Provide ongoing technical advice and support to operations and cross-functional departments.
• Share expertise with junior team members and supporting their development.

Ad Hoc Responsibilities

• Support other pricing and product-related initiatives as assigned by management.
• Champion process improvements and contribute to a culture of continuous learning and innovation within the team.

Qualifications and Experience:

• Bachelor’s degree in Actuarial Science
• Minimum 4-5 years of experience in insurance product pricing or related field.
• Strong analytical and problem-solving skills; ability to work independently and manage multiple priorities.
• Proficient in pricing models, actuarial tools, and data analysis.
• Excellent communication and stakeholder management skills.
• Familiarity with regulatory requirements and product submission processes.
• Experience with UAT and system support is an advantage.

INTERVENTION AND RESOLUTION ANALYST

Description

The Intervention and Resolution Analyst is responsible for the end-to-end intervention and resolution functions within PIDM. These include undertaking risk assessment and monitoring activities, developing resolution plans and enhancing resolution readiness in Business-as-Usual (“BAU”), as well as implementing early intervention and failure resolution actions. The I&R Analyst is also responsible for managing relationships with all key stakeholders, including Bank Negara Malaysia (“BNM”), Member Institutions (“MIs”), the Ministry of Finance (“MOF”), industry associations, standard setters, and other relevant local and foreign regulatory authorities and government bodies, to ensure a cooperative and collaborative working relationship towards the effective fulfilment of intervention and resolution functions and PIDM’s mandates.

Job Roles:

This position reports to the Head, Intervention and Resolution, the candidate is required to;

• Undertake risk assessment and monitoring of member institutions, including review of risk ratings;
• Develop and implement processes, controls, plans and activities in managing and resolving failing institutions, including identification of preferred resolution strategy, operational planning, resolvability review and resolvability assessment;
• Carry out early intervention and failure resolution activities, such as least cost assessment;
• Develop, review and advise on a range of resolution policy initiatives or workstreams;
• Coordinating, managing and engaging professionals, consultants, agents and key external stakeholders on ensuring an effective resolution regime.

This position is open to Malaysian citizens only.

By submitting your CV, you consent to the processing of your personal data in accordance with PIDM’s Privacy Notice which can be accessed at https://www.pidm.gov.my.

Entry Requirements

• Possess a degree in accounting, finance, commerce or related discipline, or holds professional qualifications in the field of accounting or finance;
• Minimum 5 (five) years of working experience in the related areas such as accounting, auditing, recovery, insolvency, restructuring, management of non-performing assets, financial modelling, corporate finance, mergers and acquisitions (M&A), due diligence and transaction services;
• Experience in prudential supervisory of financial institutions and other regulatory agencies would be an added advantage;
• Knowledge and understanding of the financial industry (banking and insurance), including experience in Islamic finance, financial markets, banking system and operations, banking regulatory compliance, financial modelling, due diligence and valuation;
• Good understanding of the relevant regulatory practices and requirements relating to banking;
• Strong analytical and problem-solving skills;
• Ability to interact effectively at all levels of Management and across the organisation;
• Experience in project managing large projects across different departments or entities, and ability to work effectively with multiple teams.