About this role
About Aladdin Data:
The Aladdin Data team is a part of BlackRocks Aladdin platform, which is a comprehensive investment management and risk management system. The team is responsible for various aspects of data management and analytics within the Aladdin ecosystem.
About the Analytics Stewardship Team
Analytics Stewardship team brings together the functional expertise and responsibilities within the Aladdin Data organization to ensure Aladdin s investment and risk analytics data are delivered with the highest standard of quality and scale. Analytics Stewards work across Client Businesses, Product, Engineering and broader Aladdin Data team on design, development and deployment of new and existing analytics.
Leveraging financial market and analytics subject matter expertise, data science and engineering knowledge, and data governance principles, the team designs and supports Analytics Data solutions, which span across quality management, change management, meta data management, and problem management.
Responsibilities :
Act as an owner of analytics solutions supported by the Aladdin Data platform. Aspire to grow & improve the analytics estate and increase its commercial value.
Understanding of single security risk models and portfolio risk & return methodologies with a particular focus on Private Markets and alignment with Publics for Whole Portfolio Analysis. Be at the forefront of defiining the future of Whole Portfolio analytics within Aladdin and through the integration of eFront and Preqin capabilities. Be the custodian of analytics (by ensuring completeness, accuracy, and proper governance). Work with analytics & modeling teams to ensure new models meets business requirements and in compliant with our data quality policy. Design data quality checks and performance metrics to evaluate data integrity, identify deficiencies, and pinpoint opportunities for analytics model and platform improvements. Conduct large scale testing and provide essential results and insights to support the implementation and adoption of Aladdin s quantitative financial models and analytics by users and businesses. Provide analytical data and platform expertise to address dynamic business requirements, market developments, regulatory modifications, and newly introduced financial products. Collaborate with cross-functional teams to implement new analytics and business solutions, such as private credit analytics and whole portfolio performance and SAA. Address complex analytical questions with expertise in models and analytics. Establish GOLD standards for Instruction Data, manage client change requests, and update scorecards and reports. Mentor and train junior analysts as they build expertise and gain exposure.
Experience :
Candidates must have a proven history of addressing challenging real-world issues in investment and risk management sectors. The individual will be required to utilize their advanced quantitative abilities to oversee complex initiatives aimed at enhancing the analytics platform.
7+ years of experience in capital market, investments, or financial technology industry, managing investment, risk, and/or performance analytics from modeling, data, or services perspective Track record of working with financial markets, investment and risk analytics, and data management functions Experience in leading cross-functional initiatives, with strong communication skills and project management ability Aladdin experiences from capital market, financial services firms, a plus Experience working within Agile project management frameworks is a plus (including tooling such as Azure DevOps)
Qualification
Degree in finance, engineering, mathematics, quantitative or related discipline. Bachelor s degree is required. Advance degree preferred.
Comfort with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, Hadoop, Spark SQL, Power BI, etc. Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus.
Skills :
Proficiency in analytical skills and the capability to develop expertise in Aladdin s proprietary models, encompassing fixed income analytics, multi-asset investment analytics, value-at-risk (VaR), and performance attribution.
Strong problem-solving skills, attention to detail, and an ability to navigate the analytics platform for conducting analysis and deriving solutions Enthusiasm for, and comfort with, working in a high pressure and fast-paced environment with entrepreneurial and team-oriented setting Strong project management skills. Ability to prioritize deliverables/enquiries when multi-tasking, structure multiple communication streams and manage workflows.
Our benefits
.
Our hybrid work model
.
.