Purpose of this role
The Investment Data Engineer will join the Investment Shared Services team to enable the successful delivery and analysis of asset data to meet the needs of investment portfolio oversight and steering. The role-holder will work alongside the Investment Data Developer and both will be responsible for building the data structure, feeds, analytics and process automation, while partnering with stakeholders across Athora teams to take part in portfolio oversight and risk management and work closely with Apollo’s investment and data analytics teams.
Key Responsibilities & Contribution Areas
Collaborate across Athora Group and Apollo with stakeholders including Actuarial, Risk and Investments to understand team needs and translate them into technical specification for the data architecture for structured and unstructured data
Support internal and external stakeholders in setting up the data system
Build ‘inbound’ asset feeds (investment and accounting books of record) from relevant systems
Build automated exceptions-based control checks
Build normalisation / standard processes for consistent asset data attributes across all business units
Develop automated portfolio analysis and reporting for Athora teams based on robust Python analytics delivered through PowerBI or other relevant user interfaces
Business partner with Athora teams on changing business needs and with technical teams as source systems evolve
Continuously adapt and evolve the portfolio analysis and reporting toolkit
Personal Capabilities Required
Demonstrated ability to build strong, effective business partnerships across diverse stakeholder groups
Excellent interpersonal and communication skills, with the ability to influence and collaborate effectively at all levels
Proven ability to operate at pace and excel within a fast‑moving, dynamic environment
Resilience and composure under pressure, with the ability to manage multiple priorities simultaneously
Highly structured and organised approach to work, with strong discipline in execution and follow‑through
Functional or Technical Knowledge and Skills Required
Excellent command of Python coding in a production-quality disciplined, controlled environment
Demonstrated ability to work in a cross-functional team environment
Strong communication skills with the ability to decomplexify technical terms to non-technical business teams across Athora
Data analysis skills – ability to conduct quantitative data analysis from investment and market data, using automated reporting
Proficiency with database systems
Experience with AI tooling, across structured and unstructured data ideally within the Snowflake or Databricks environments across structured and unstructured data, ideally within the Snowflake or Databricks environments
Familiarity with key financial market issues, ideally in credit and interest rates
Apply By:
10-05-2026