Key Responsibilities
- Design, develop, and maintain scalable data solutions supporting a Portfolio Suitability Programme.
- Build and optimise data pipelines for market, portfolio, client, and suitability datasets.
- Develop robust data models to support reporting, analytics, regulatory requirements, and AI-driven insights.
- Integrate and manage large-scale market and time-series data sources.
- Collaborate with business stakeholders, architects, product owners, and delivery teams to translate business requirements into technical solutions.
- Ensure data quality, governance, lineage, and consistency across multiple platforms.
- Support the adoption of AI-enabled capabilities within the data ecosystem.
Required Technical Skills
- Snowflake (expert level)
- Cortex AI (Snowflake Cortex AI)
- Star Schema Data Modelling
- Market Data integration and management
- Time-Series Data engineering and modelling
- Dbt (Data Build Tool)
- Claude Code
- Data warehousing and ETL/ELT development
- SQL and performance optimisation
- Cloud-based data engineering experience
Highly Desirable Experience
- Wealth Management or Private Banking experience
- Investment Management platforms and data
- Portfolio Suitability programmes
- Suitability monitoring and assessment frameworks
- Investment performance and analytics data
- Regulatory programmes impacting wealth or investment management
- Front-office, investment, or advisory data domains
Rate:
Not specified
Location:
London
IR35 Status:
Not specified
Remote Status:
Not specified
Industry:
Data & Analytics
Seniority Level:
Not Specified