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About the role
You will be joining a team at BlackRock, a leading asset management firm, that is responsible for developing Aladdin's financial models and analytics content. As part of the Core Analytics Solutions (CAS) team in Aladdin Financial Engineering (AFE), you will work on creating and delivering analytical capabilities to support portfolio decisions and enhance client outcomes. Your role will involve collaborating with various teams to design and deploy new risk and optimization models on Aladdin, BlackRock's proprietary platform. Key Responsibilities: - Serve as a product owner to deliver the next generation of risk and optimization models on Aladdin - Act as a subject matter expert in risk models such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and portfolio optimization - Collaborate within an agile framework with cross-functional teams to ensure transparency and predictability in initiatives - Work closely with technology and analytics groups to build scalable solutions using Aladdin APIs - Conduct independent analytical validations and present results to stakeholders to ensure high-quality standards - Automate processes to increase team efficiency and throughput - Present models to clients, address concerns, and build client trust in BlackRock - Define processes for quality control and maintenance of analytics models for robustness and reliability - Mentor and train junior analysts to build expertise and exposure Qualifications and Experience: - 5-7 years of experience in business analysis related to portfolio risk and optimization - Strong project management skills with a track record of leading complex performance analytics projects - Bachelor's degree in Engineering, Finance, Mathematics, Business Management, or a related quantitative field - Advanced degree preferred, Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus - Excellent quantitative, analytics, and financial market understanding - Proficiency in scripting skills (e.g., Java, Python), SQL, and advanced Excel - Strong written and verbal communication skills with the ability to explain complex concepts clearly - Interpersonal skills to engage with both technical and non-technical stakeholders Company Overview: BlackRock is committed to helping more people achieve financial well-being by offering a wide range of benefits, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, and Flexible Time Off (FTO). The company's hybrid work model promotes collaboration and flexibility, with employees required to work at least 4 days in the office per week. BlackRock values diversity and is an Equal Opportunity Employer dedicated to creating an inclusive environment for all employees. You will be joining a team at BlackRock, a leading asset management firm, that is responsible for developing Aladdin's financial models and analytics content. As part of the Core Analytics Solutions (CAS) team in Aladdin Financial Engineering (AFE), you will work on creating and delivering analytical capabilities to support portfolio decisions and enhance client outcomes. Your role will involve collaborating with various teams to design and deploy new risk and optimization models on Aladdin, BlackRock's proprietary platform. Key Responsibilities: - Serve as a product owner to deliver the next generation of risk and optimization models on Aladdin - Act as a subject matter expert in risk models such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and portfolio optimization - Collaborate within an agile framework with cross-functional teams to ensure transparency and predictability in initiatives - Work closely with technology and analytics groups to build scalable solutions using Aladdin APIs - Conduct independent analytical validations and present results to stakeholders to ensure high-quality standards - Automate processes to increase team efficiency and throughput - Present models to clients, address concerns, and build client trust in BlackRock - Define processes for quality control and maintenance of analytics models for robustness and reliability - Mentor and train junior analysts to build expertise and exposure Qualifications and Experience: - 5-7 years of experience in business analysis related to portfolio risk and optimization - Strong project management skills with a track record of leading complex performance analytics projects - Bachelor's degree in Engineering, Finance, Mathematics, Business Management, or a related quantitative field - Advanced degree preferred, Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus - Excellent quantitative, analytics, and financial market understanding - Proficiency in scripting skills (e.g., Java, Python), SQL, and advanced Excel - Strong written and verbal communication skills with the ability to explain complex concepts clearly - Interpersonal skills to
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