Operational Analytics & Predictive Data Scientist

Crédit Agricole Group; Putrajaya; On-site; MYR 60,000 - 90,000; Full time

Job summary

CACEIS Malaysia is building a predictive analytics capability to proactively manage operational errors across its asset servicing activities. A hybrid data professional will consolidate fragmented data, design data pipelines, and develop predictive models linking error patterns to key operational drivers.

The role aims to transform raw data into actionable insights that reduce errors and strengthen resilience.

Qualifications

• Consolidate fragmented, non-standardised operational data.
• Design and maintain structured data pipelines.
• Develop predictive models linking error patterns to operational drivers.
• Transform raw data into actionable insights to reduce errors and strengthen resilience.

Responsibilities

• Data preparation and management of operational data from multiple sources.
• Cleansing and validation to ensure data quality.
• Maintain structured datasets for reporting and analytics.
• Develop and maintain operational reports and dashboards.
• Support ad-hoc reporting requests from stakeholders.
• Collaborate with Operations, Technology and Business teams to understand data requirements.

Skills

Data preparation

Data cleansing

Data analysis

Predictive modelling

Dashboard development

Reporting

Job description

CACEIS Malaysia is building a predictive analytics capability to proactively manage operational errors across its asset servicing activities. A hybrid data professional will consolidate fragmented data, design data pipelines, and develop predictive models linking error patterns to key operational drivers.

The role aims to transform raw data into actionable insights that reduce errors and strengthen resilience.