Senior Specialist, Enterprise Risk, AI & Data Intelligence

RHB Banking Group; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A renowned financial services provider in Malaysia seeks a Senior Specialist for Enterprise Risk, AI & Data Intelligence. This pivotal role requires expertise in AI/ML and data analytics to enhance risk management practices. You will identify, develop, and deploy innovative AI solutions, ensuring alignment with the bank's strategic priorities. Ideal candidates possess strong analytical skills and a collaborative spirit, contributing to a supportive work environment that fosters professional growth.

Benefits

Competitive remuneration

Professional development opportunities

Supportive culture

Qualifications

• Strong background in AI/ML, data analytics, or risk management.
• Ability to translate risk requirements into data-driven solutions.
• Experience with machine learning model development, deployment, and governance.

Responsibilities

• Develop and maintain a strategic suite of AI/ML models across risk domains.
• Conduct feasibility assessments for AI/ML initiatives.
• Establish automated pipelines for continuous risk insight generation.

Skills

AI/ML

Data analytics

Risk management

Collaboration

Problem-solving

Job description

Senior Specialist, Enterprise Risk, AI & Data Intelligence

We are looking for an innovative and highly skilled senior specialist to join RHB Bank. This role carries a Group-wide mandate, working closely with regional risk teams, business lines, and risk pillars within the Group Risk Division to embed AI, machine learning, and data intelligence into enterprise-wide risk management practices. You will drive the development of AI/ML use cases, strengthen risk intelligence capabilities, and support the bank’s risk transformation agenda.

What you will be doing

• This role has a Group-wide mandate, working closely with risk teams across all regions, business lines, and risk pillars within the Group Risk Division to embed AI and data intelligence into enterprise-wide risk management practices.
• Identify and develop AI, machine learning, and data intelligence use cases across risk domains, aligned with the bank’s strategic priorities and risk transformation goals.
• Conduct feasibility assessments, including cost-benefit, complexity, and risk-return analyses, to prioritize pilot initiatives and scalable AI/ML solutions.
• Assist the Head of Department in designing, developing and institutionalizing the comprehensive AI and data intelligence framework that enables proactive, data-driven decision-making across risk types, customer segments, regions, and business lines.

AI and Data Intelligence Capabilities

• Develop and maintain a strategic suite of AI/ML models, including NLP, time series forecasting, clustering, graph analytics, and anomaly detection.
• Design and deploy scalable AI/ML solutions that generate actionable risk insights, enhance risk detection, and improve decision-making across the risk organization.
• Coordinate AI and data intelligence initiatives across the Group, ensuring consistent application, governance, risk model transparency, and scalability across risk types, geographies and business segments.
• Collaborate with regional risk teams, business lines, and central functions to identify cross-cutting risk intelligence opportunities, cross-functional use cases support enterprise-wide risk monitoring and mitigation strategies.
• Partner with domain experts and risk owners to translate complex requirements into data-driven, AI-powered solutions.
• Identify, evaluate, and prioritize high-value AI/ML use cases that support effective risk management and control enhancement.
• Drive alignment of risk AI initiatives with the broader enterprise risk strategy and transformation roadmap.
• Establish automated pipelines for continuous risk insight generation, risk model training, validation, deployment, monitoring and refresh cycles.
• Ensure risk AI/ML models are interpretable, auditable and compliant with internal governance and regulatory standards.
• Produce and maintain comprehensive documentation of risky modeling methodologies, development rationale, validation results, and deployment protocols in line with audit and governance requirements.

Infrastructure and Collaboration

• Work closely with data engineering, technology, and platform teams to ensure infrastructure readiness for scalable risk AI/ML development and deployment such as data pipelines, model serving, ML Ops.
• Collaborate with the Group Analytics Centre of Excellence (CoE) and data governance teams to ensure timely access to high-quality and governed data assets.
• Promote reusability and interoperability of AI/ML components within risk platforms and enterprise ecosystems.
• Facilitate integration of AI/ML outputs into enterprise risk dashboards, reports, and workflows to support strategic and operational risk management.

What we’re looking for

• Strong background in AI/ML, data analytics, or risk management.
• Ability to translate risk requirements into data-driven solutions.
• Experience with machine learning model development, deployment, and governance.
• Strong analytical, problem-solving, and collaboration skills.
• Knowledge of risk management frameworks and regulatory expectations is an advantage.

What we offer

At RHB Banking Group, we foster a collaborative and inclusive work environment that empowers employees to reach their full potential. We offer competitive remuneration, professional development opportunities, and a supportive culture that encourages growth and excellence.

Company Overview

RHB Banking Group is a leading regional financial services provider headquartered and listed in Malaysia. Established in 1913, we offer comprehensive banking solutions across retail, business, corporate, and Islamic banking. With a strong presence in Malaysia and nine ASEAN countries, we are committed to delivering simple, fast, and seamless experiences. Guided by our brand promise, “Together We Progress,” we continue building a sustainable and inclusive future with our customers and stakeholders.