Description About this role  Do you thrive in an environment that champions positive relationships and recognizes outstanding performance? Elevate your career by joining the world's largest asset manager and the most sophisticated institutional FinTech in the industry. At BlackRock, we strive to empower our employees and integrate your involvement into our collective success. With assets from a global and diverse client base flowing through Aladdin, we have an outstanding responsibility: our technology and services empower hundreds of institutions to achieve their strategic and financial objectives every day.The Analytics & Quantitative Solutions (AQS) team within the Aladdin Business is responsible for delivering high-impact solutions to our clients’ investment, risk and business challenges, as well as expanding and enhancing Aladdin’s analytics capabilities through research and innovation, capitalizing on the collective intelligence of Aladdin's client community. Each team member is tasked with understanding market and investment practice trends along with client needs, and proactively offering new and comprehensive solutions using Aladdin analytics and data. The Associate within the AQS team will play a role in developing solutions to challenging problems for market practitioners, designing and developing analytics solutions projects and initiatives.AQS is actively seeking a Associate to work in the diverse group of market and analytic experts, collaborating with business leaders to develop impactful and fit for purpose solutions for Aladdin clients across regions and industries. As part of the Applied Portfolio Analysis function within AQS, the person will also work with colleagues from the Aladdin Client Business, Aladdin Financial Engineering and Aladdin Product teams to evolve our analytics capabilities in portfolio risk and performance attribution space.

Keen interest in financial markets and ability to comprehend the impact of market eventsExcellent problem solving abilities, and experience understanding complexity of clients' challengesEnjoys a fast-paced, energy-filled environment. Work well in a team setting with autonomy. Well organized and able to handle multiple prioritiesAcademic degree(s) in Financial Engineering, Finance, Mathematics, Computer Science, Business Management or some other quantitative field of study

Minimum of 4 years, or an equivalent experience, in financial services, financial technology or consultingPrevious exposure to IR/FX/Vol derivative valuation, greeks and P&L explain are highly desirablePrior experience with Python & SQL as well as a strong appetite for coding are a must, experience with SnowFlake or PowerBI are beneficialDemonstrate strong expertise in performance attribution (Brinson-Fachler & Factor Attribution) and the underlying mechanics of an attribution system