Director, Quantitative Engineer
BlackRock
- Location
- BU3-Budapest-GTC White House, Vaci ut 47, District XIII, Budapest
- Work model
- On-Site
- Level
- Staff
- Posted
- Sep 11, 2026
Skills
About this role
About this role Your team The Investments and Trading Engineering (ITE) team builds and delivers Aladdin’s risk management, portfolio management, compliance, and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for implementing security valuation, portfolio risk, liquidity, and performance attribution models. BlackRock portfolio managers and external Aladdin clients, including pension funds and insurance companies, rely on these models to identify investment opportunities, build portfolios, and manage risk. Security Analytics Infrastructure (SAI) is an established QAE team with colleagues in Hungary, New York, India, and Switzerland. The team develops scalable, high-throughput, low-latency analytical software in close partnership with Aladdin Financial Engineering, supporting the valuation of fixed-income products such as swaps, bonds, private credit, and derivatives. We challenge established approaches, adopt modern engineering practices, and bring together diverse perspectives to deliver reliable analytical capabilities. Our primary programming languages are C++ and Python. Your role and impact As a Director in Quantitative Engineering based in Budapest, you will help shape the next generation of our single-security analytical modeling platform using C++23 and Python 3. Working with colleagues across Europe, India, and the United States, you will influence the strategic development of analytical services in Aladdin and improve how investment analytics are delivered at scale. You will combine hands-on engineering expertise with technical leadership to understand business processes, identify bottlenecks, and optimize cloud-compute performance. You will lead complex implementations across scalable, modular, and distributed architectures while partnering with users, stakeholders, and engineering teams to translate business and client needs into reliable production solutions. The analytical models supported by the team are central to investment and risk-management workflows, making their scalable and dependable delivery a high-impact, cross-team responsibility.
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities: Design and build the next generation of the single-security analytical modeling platform using C++23 and Python 3, collaborating with colleagues across Europe, India, and the United States. Influence the strategic development of analytical services in Aladdin by understanding business processes, identifying bottlenecks, and improving cloud-compute performance. Develop modules, applications, APIs, and observability pipelines that provide clients with new ways to access and use analytics. Lead complex implementations and translate technical and business requirements into maintainable solutions using scalable, modular, and distributed architectures. Engage with users, stakeholders, and teams responsible for external client requirements to understand their needs and shape effective solutions. Partner with teams across BlackRock to understand supported business use cases and determine how they can be delivered more efficiently on a modern platform. Promote quality through agile delivery, automated testing, effective engineering practices, clean code, and a focus on scalable and reliable analytical services.
Your experience
10+ years of experience in enterprise software development, including ownership of production services, platforms, or distributed systems. Deep knowledge of software architecture, service design, APIs, data modeling, concurrency, and distributed systems. Ability to mentor other engineers, lead