About this role
Quantitative Modeling and Research (QMR) is an innovative team within Single Security Pricing (SSP) area. We specialize in crafting sophisticated risk and valuation models that span a diverse range of products, including interest rates, FX, inflation, equity, and credit. Our mission goes beyond traditional quantitative models; we are at the forefront of exploring novel modeling techniques, such as neural networks, to tackle complex problems in quantitative finance.
What makes working on the team both challenging and rewarding:
Focus on business: We do not solve the math problem – we solve the business problem!
Breadth of product coverage: We support both BlackRock with over $13T AUM and Aladdin clients with trillions more. This is a tremendous breadth of products we need to cover.
Excellence in modeling and coding: We pride ourselves both on building great models and writing high quality code.
Collaborative environment: We have a lot of smart people on the team. Working here is a great chance to both learn and to teach others.
Job Responsibilities
Design, build, and maintain large‑scale C++ analytics libraries with a strong emphasis on performance, correctness, extensibility, and long‑term maintainability in a production environment operating at massive scale.
Lead the design of modern frameworks and abstractions for quantitative models, maintaining a pragmatic engineering mindset grounded in real‑world business needs.
Champion modern C++ practices, tooling, and workflows, including testing strategies, performance profiling, CI/CD integration, and responsible use of emerging AI‑assisted development tools.
Leverage modern hardware and parallel computing techniques to deliver analytics efficiently at scale while maintaining clarity and discipline in the codebase.
Collaborate closely with quantitative researchers, engineers, and business partners across Aladdin.
Qualifications
A graduate degree in a quantitative field such as Math, CS, Engineering or Physics is required. An advanced degree is a plus, but understanding modeling is more important than formal qualifications.
Understanding of Fixed Income valuation and modelling concepts including but not limited to yield curve contraction techniques, risk-neutral pricing framework, and routes to calibrate the stochastic models.
Coding is at the heart of everything we do. Expertise in C++ is needed.
An Analytical Frame of Mind: keen interest in solving analytical problems is key.
Excellent Communication Skills: you will be interacting with other teams in the firm. The ability to explain your research and results to your non-technical counterparts in terms that they can follow is important.
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.
BlackRock Edinburgh, Scotland Office
Exchange Place 1, Semple Street, Edinburgh, United Kingdom, United Kingdom, EH3 8BL
