Senior C++ Developer, Security Analytics Infrastructure, Vice President

About the role

Join us as a senior Software Developer in QAE Budapest to craft the next generation of our single security analytical modelling platform using C++23 and Python 3 with the help of colleagues across Europe and the USA! You will create new modules, applications, APIs, and observability pipelines to provide clients with novel ways of using our analytics. You will understand our business processes, identify bottlenecks, and provide optimizations to improve our cloud compute performance. It is important to have the ability to manage complex implementation and requirements as you will be working on a scalable, modular, and distributed architecture. You will communicate with the users of our analytical systems and with stakeholders formulating external client requirements. You will also approach other teams in BlackRock to learn about the business use-cases we serve and how they could be recreated more efficiently on a novel platform. We work in an integrated, agile team with a focus on quality of work validated through automated testing, and we value effective and clean code. The analytical models we serve are the heart of BlackRock, having them delivered in a scalable and reliable way is a cross-team effort valued by all the parties involved. About our team Security Analytics Infrastructure (SAI) is an established team of QAE with presence in Hungary, New York, India, and Switzerland. We develop scalable, high throughput, low latency analytical software in close cooperation with the Aladdin Financial Modelling team for valuation of fixed income products like swaps, bonds, private credit and derivatives. Challenging the status quo is our norm, and we excel in building modern systems and onboarding innovative technology like microservice architectures. We are pioneers of the firm and early adopters of new tools and industry standards. We are a diverse team with different ideas working towards the same goal. Our dominant programming languages are C++ and Python. We are passionate about what we do and hope you are, too!

Requirements

• You should be
• Experienced in enterprise software development (5-7 years)
• Qualified with a Bachelor's degree or higher in Computer Science or a related field
• Ready to lead. Work experience where you were responsible for or owner of an application or component. Willingness and ability to provide tutoring and mentorship to less experienced team members.
• Pragmatic and solution oriented
• Eager to work as part of a software development team
• You are familiar with
• C++17 or later
• Python 3
• Design patterns, Object-Oriented Design principles, and fundamental Algorithms and Data Structures
• Software development tools (test frameworks, version control)
• Continuous Integration
• Nice to know
• Agentic development principles
• C++ development tools (CMake, ninja, ccache, distcc)
• Google Protocol Buffers
• Unix systems (Red Hat, Ubuntu)
• Profiling tools (gprof, valgrind, gperftools)
• DevOps tools (Azure DevOps)
• Scripting languages (bash, PowerShell)
• Microsoft SQL
• Azure Kubernetes Service (AKS)
• Knowledge of finance and fixed income asset types is a plus but not a must. We will help to learn what is needed.

Benefits

Additional Information

About this role About Quantitative Analytics Engineering BlackRock is one of the world's preeminent asset management firms and an outstanding provider of global investment management, risk management, and advisory services to institutional, intermediary and individual investors around the world. Besides offering a range of investment solutions - from fundamental and quantitative active management approaches to highly efficient indexing strategies - BlackRock also provides direct access to its market leading analytic models by onboarding clients to its Aladdin Platform, an end-to-end portfolio management software solution. The Investments and Trading Engineering (ITE) team builds and delivers Aladdin's industry-leading risk management, portfolio management, compliance and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk, liquidity, and performance attribution models. BlackRock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on models maintained by QAE to identify investment opportunities, build portfolios and manage risk.

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