2027 Quantitative Masters Internship Program - Technology - Analytics & Modeling - New York
BlackRockAbout the role
About this role Quantitative Master’s Internship Program This program mirrors the MBA Internship but is tailored for master’s students in quantitative disciplines – giving you the same exposure and impact, with a focus on advanced analytics and problem-solving. Eligibility: Students enrolled in analytics, computational finance, financial engineering, mathematics and/or a quantitative-disciplined master’s program and graduating between September 2027 and July 2028 with relevant pre-master’s work experience Aladdin Financial Engineering We research, develop and implement innovative quantitative models used to assess financial risk across fixed income, equities, derivatives and alternative products through our proprietary technology, Aladdin. We also provide risk management and tailored advice to drive better business and investment outcomes. Teams you may be considered for: -Quantitative Research and Modeling: We are responsible for all analytics and analytics technology developed and deployed into the Aladdin ecosystem. We support and evolve over 200 analytics models spanning single security, securitized products, portfolio construction, portfolio risk, performance attribution, trading and liquidity, energy and climate, and ML/Gen AI model suites. Applied Analytics: Portfolio Analytics Group: Develop fit-for-purpose solutions for Investment and Client Businesses utilizing Aladdin models and latest quantitative techniques to bring value to the best client of Aladdin – BlackRock. Our function is known for: •Evolving analytics and models developed and deployed into the Aladdin ecosystem •Developing new best-in-class analytics models •Working closely with both internal and external Aladdin clients to ensure proper deployment, usage, adoption andevolution of Aladdin’s entire analytics estate •Applying Aladdin financial models to specific BlackRock use cases across Investments and Client Businesses tounlock value through analytical insights, accelerating critical initiativ
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