Responsibilities
- Own the ‘MyAnthos Analytics Hub’ product lifecycle, managing roadmap, backlog, and delivery coordination across multidisciplinary teams and stakeholders.
- Act as expert on investment analytics across Portfolio Insights, Performance and Risk analytics, Client and Regulatory Reporting.
- Drive (fund of) funds analytics across complex investment structures including exposures, performance, risk, valuations, transactions, and look-through analytics.
- Design and implement analytics solutions, dashboards, and automated reporting across Investments, Performance, Risk, Operations, Client Servicing, and regulatory domains.
- Integrate data sources and alternative data streams, translating investment requirements into technical specifications and validated data models for development teams.
- Build analytics solutions using BI tools (i.e. Power BI) while coordinating with Data Governance, Engineering, and other Product Owners.
- Coordinate data vendor relationships, evaluate partnership opportunities, and drive AI adoption while ensuring platform scalability, quality, and regulatory compliance.
- Support Microsoft Fabric migration and optimize Azure infrastructure.
Requirements
- Bachelor’s or master’s in Finance, Econometrics, Data Science, or related field.
- Minimum 8 years in investment analytics, fund operations, or similar asset management roles, with strong focus on multi-manager platforms or institutional asset allocation.
- Understanding of fund of funds structures, valuations, NAV calculations, performance and risk analytics, and ESG analytics.
- Experience across public and private markets including private equity, private debt, infrastructure, and real estate data complexities.
- Proven experience building a semantic layer on Medallion architectures.
- Product ownership experience managing backlogs and working with agile delivery teams in an investment management context.
Nice to Have
- Experience with data vendor management and partnership evaluation processes.
- API design thinking and data product monetization concepts.
- ESG/sustainability data integration and impact investing frameworks.
- Cloud data platforms beyond the Microsoft stack (Snowflake, Databricks).
Work Arrangement
Hybrid — Amsterdam
Additional Information
- You will report to the Head of Data & Technology.
- Hybrid working arrangement (Amsterdam office and home office).
- Start date: as soon as possible.
- Reference checks and a pre-employment screening are a final step of the hiring procedure.
- We are an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
