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Amplify Health is Asia's leading health technology and analytics organisation, providing our customers with integrated solutions to make healthcare more accessible, affordable and effective across the region.
We offer a unique B2B business model and integrated stack of SaaS-based products, PaaS-based HealthTech launchpad and DaaS-based on-demand data offerings to deliver impact to our customers across the healthcare value-chain.
Our joint-venture partners, AIA and Discovery, have provided us with the foundations and a platform that truly differentiates us from our competitors and allows us to build and deploy products at a scale and quality that few can match.
We aim to be the trusted custodian of Asia's largest repository of health data, unifying financial, clinical, operational and behavioural data to empower our customers with insights that highlight opportunities to deliver better value and care outcomes.
About the role
This role will support the Risk and Compliance team to achieve compliance and operational excellence in the area of Third Party Risk management in alignment with internal policies as well as legal, regulatory and audit requirement. This role is responsible for working with cross-functional stakeholders across Sourcing, Legal, Finance, Information Security and business units to support comprehensive third-party operations including sourcing, onboarding, monitoring, renewal and offboarding of third parties
Responsibilities
Sourcing and Contracting Operations
Third Party Management (TPM)
Third Party Risk Management and Compliance
Training and Support
Experience and Qualifications
Competencies & Core Characteristics
We are seeking a leader who embodies the following competencies and characteristics essential for success in our scale-up environment
Job ID: 151553127
Skills:
Contract management, Internal control and compliance, Commodity Trading, Familiarity with Incoterms, Microsoft Office Applications, Contract Drafting
Skills:
cash flow analysis , Sql, Statistical Analysis, Excel, Python, Ratio Analysis, Credit risk assessment methodologies, R, Risk Assessment, Financial Modeling, Credit modeling