Related skills
azure aws gcp data integration data quality๐ Description
- Lead agile engagements delivering modern data architecture and cloud transformation for WAM.
- Define and implement scalable enterprise data strategies across programmes.
- Design canonical WAM data domains and models (clients, portfolios, holdings, pricing, performance, fees).
- Architect cloud-native data platforms (AWS, Azure, GCP) for advisor/client journeys and analytics.
- Define integration patterns across core WAM platforms (CRM, OMS/PMS, back office, custody, reporting).
- Establish data quality, reconciliation, and control frameworks (NAV, pricing).
๐ฏ Requirements
- Proven experience delivering enterprise data architecture and cloud data engineering in WAM.
- Deep knowledge of contextual, logical, and physical data modelling in WAM.
- Strong understanding of WAM data concepts: clients, holdings, pricing, performance, fees.
- Hands-on experience with cloud data ecosystems (AWS, Azure, GCP) and migrations.
- Experience integrating WAM platforms: CRM, OMS/PMS, back office, custody, market data, reporting.
- Understanding data management tooling, security, and controls in regulated FS.
๐ Benefits
- Core benefits: pension, health, life, critical illness.
- Mental health support and wellbeing programs.
- Family-friendly policies: parental leave and paid leave options.
- Family care: backup care for emergencies.
- Holiday flexibility: 5 weeks annual leave with buy/sell option.
- Continuous learning: 40 hours of training annually.
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