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hackajob is partnering directly with BlackRock to hire for this role.
About this role
About the Portfolio Analytics Group (PAG):
Join the Portfolio Analytics Group (PAG), a highly collaborative and multidisciplinary team of in-house, forward-deployed engineers and data scientists at the forefront of applied analytics at BlackRock.
As part of the Aladdin Financial Engineering (AFE) division, PAG develops and deploys advanced analytical solutions that integrate Aladdins technology platform, financial models, and data to solve complex, real-world investment challenges. These solutions are used by portfolio managers and risk professionals across BlackRock to support investment decisions, contributing to outcomes such as improved portfolio positioning and winning client mandates. The team works across the full breadth of asset classesincluding equities, fixed income, derivatives, and private marketsreflecting the diversity and scale of investment strategies we support.
Role Overview:
We are seeking a high-performing individual at Analyst or Associate level to join the Private Markets Analytics pillar within PAG in London. The role involves partnering with BlackRocks Private Financing Solutions Business to deliver solutions across the investment lifecycle, including fundraising, portfolio construction, deal due diligence and portfolio monitoring. The focus is on translating complex analytical capabilities into intuitive solutions across private markets, with a particular emphasis on private credit. Examples include cash flow forecasting, liquidity modelling, portfolio risk analysis and credit risk analysis.
The successful candidate will wear multiple hats, acting as hands-on analytics developer, business-oriented project manager and subject matter expert in private markets analytics. On the technical side, the candidate needs to demonstrate a strong aptitude for learning our proprietary technology ecosystem, and for working with various programming languages and technology stacks. xgikmsk Fluency across AI technologies, Python, and database languages, along with experience building end-to-end analytical applications is equally important as the ability to engage effectively with stakeholders and a solid understanding of financial markets and instruments.
Key Responsibilities:
- Build and maintain strong partnerships with investment teams Please click on the apply button to read the full job description
Associate, Portfolio Analytics Group (PAG) employer: Hackajob
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