Director, Quantitative Engineer
BlackRock · Budapest, Hungary · 18d ago
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 ambiguous cross-functional initiatives, and deliver maintainable production systems with a pragmatic, solution-oriented approach.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Proficiency in C++17 or later and Python 3, supported by knowledge of design patterns, object-oriented design principles, algorithms, and data structures.
- Familiarity with software testing, version control, continuous integration, C++ development tools such as CMake, Ninja, ccache, and distcc, Google Protocol Buffers, Unix systems, profiling tools, Azure DevOps, scripting with bash or PowerShell, Microsoft SQL, and enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling.
- Familiarity with agentic development principles and knowledge of finance or fixed-income asset types are beneficial but not required. We will support you in developing the relevant financial knowledge.
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.