It Data Analysis jobs in the Philippines

The Head of Data is responsible for enabling seamless access to accurate, reliable, and timely data through data replication, streaming, and modeling-supporting both business intelligence and AI-driven initiatives. The Head of Data also leads the organization's data governance efforts, overseeing data quality, cataloging, lineage, stewardship, security, and ethics.

We are seeking a Data Scientist to lead the development and calibration of models, leveraging advanced analytics and machine learning techniques to drive credit strategy and business insights. The ideal candidate will have strong programming skills and a proven track record in model development, validation, and monitoring.

We are looking for a highly skilled Portfolio and Analytics Manager with over 5+ years of experience in the banking or financial industry. This role involves deep data analysis, portfolio management, and strategic planning to drive business growth and improve credit quality while collaborating with cross-functional teams.

The Head of Data Science and Analytics leads the Decision Management Department's efforts in developing and implementing advanced analytics and data science solutions. This role is critical in enabling automated decision-making across the bank through machine learning, AI, and data-driven strategies.

The Senior Data Scientist will develop and enhance credit risk assessment, monitoring, and management strategies. The ideal candidate will play a key role in ensuring data integrity, regulatory compliance, and effective risk mitigation.

The Data Engineering Head willn lead the development, optimization, and governance of its enterprise data platform. This role is instrumental in delivering scalable, secure, and high-quality data infrastructure to support analytics and digital initiatives across the organization. The position holds a senior officer rank and requires deep expertise in Azure Data Platform and Databricks.

The Data Operations & Service Delivery Lead is responsible for leading and developing the data service delivery function.

This role is responsible for the design, implementation, optimization, and security of SQL and MongoDB databases, ensuring high performance, availability, and data integrity. It involves performance tuning, executing secure database migrations, integrating data across systems, and proactively troubleshooting issues to maintain a stable and secure data environment.

Join our team as a Data Analyst specializing in Credit Risk, where you will play a key role in identifying, assessing, and managing credit risk through robust methodologies, compliance-driven processes, and innovative risk strategies. Collaborate with cross-functional teams, refine credit models, and provide actionable insights to senior management, ensuring data integrity and proactive portfolio management.

As a Data Engineer, you will work closely with cross-functional teams to design, build, and maintain scalable data pipelines and systems

We are seeking a Senior Data Scientist with a proven track record in analytics & model building in Python or R.

An exciting opportunity for a Data Engineer to join a leading company in the Financial Services industry. The ideal candidate will be responsible for designing, building and maintaining data architecture systems within the Technology Department.

The Senior Database Administrator will be responsible for overseeing and maintaining SQL and MongoDB databases, ensuring optimal performance, security, and availability. They will also collaborate with data teams to integrate and and implement security measures to protect sensitive information.

The client is seeking for a Cybersecurity Risk Analyst to assess risks, analyze cyber threats, and provide strategic guidance on security measures across IT and OT environments. The role involves leading risk assessment exercises, maintaining security documentation, and serving as a key advisor for cybersecurity initiatives while ensuring compliance with industry standards.

As a Data Engineer, you will design, develop, and maintain automated data pipelines using Microsoft Azure services. You'll collaborate with cross-functional teams to optimize data solutions, ensuring high quality and scalability while supporting global operations.

In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines and data warehousing solutions that will support our analytical and operational needs. You will work alongside cross-functional teams to ensure our data architecture is scalable, reliable, and secure.