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The Private Markets vertical within Core Risk Governance is dedicated to ensuring robust risk oversight and governance for private market investments. This team focuses on maintaining data integrity, delivering advanced analytics, and providing transparent reporting to support strategic decision-making. By establishing standardized data frameworks, implementing advanced analytics, and driving timely reporting, it partners closely with investment teams, technology, and compliance functions to embed risk culture and deliver actionable insights across credit, infrastructure, and alternative investments.
Job Responsibility:
Drive end-to-end data acquisition and centralization for Private Markets portfolios (Private Credit, Real Assets, Infrastructure)
Standardize schemas, ensure data persistence and lineage, and implement QC automation for accuracy and timeliness
Lead quarterly processes by defining inputs, curating validated datasets, and delivering risk-ready outputs for platform and business-level views
Develop and maintain analytics tailored to Private assets, including exposure look-through, liquidity and concentration metrics, and early-warning indicators to support thematic risk reviews
Prepare and refresh risk dashboards and board materials, covering key metrics (IRR, TVPI, DPI, liquidity, ESG look-through) with commentary on trends, exceptions, and emerging risks
Operationalize DQ checks (completeness, validity, reconciliation to source, timeliness) with thresholding, exception queues
Requirements:
MBA/ B.Tech with additional certification in FRM or CFA will be an advantage
3–5 years of professional experience in risk governance, data analytics, or related domains
Strong understanding of private and public markets, including investment structures and risk considerations
Expertise in data management, including data quality, lineage, and governance frameworks
Proficiency in advanced analytics, with experience with tech platforms
Python & R programming experience would be an added advantage
Ability to design and implement reporting solutions for portfolio monitoring, stress testing, and regulatory compliance
Strong stakeholder management and communication skills to collaborate across investment, technology, and compliance teams
Experience in automation and process optimization for reporting and analytics workflows
Strong understanding of risk governance principles and private market investment structures
Nice to have:
Python & R programming experience would be an added advantage