About this roleQuantitative Modeling and Research (QMR) is an innovative team within
Single Security Modeling (SSM) 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 $11T 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.
What You Will Be Doing- Quantitative Modeling: Develop and enhance quantitative financial models across the entire spectrum of our team's remit. Apply advanced mathematical techniques to real world financial problems. Examples include interest rate modeling, building curves, developing bond analytics, expanding coverage to new derivative types etc.
- Quant library development: Implement your models into a production quality code within our quant library.
- Analytical Support: Participate in internal and external client calls and on-site visits in support of the Aladdin business. Address complex analytics queries.
- Thought Leadership: Keep abreast of contemporary trends in quantitative finance, capital markets and regulation. Bring the latest techniques to bear on the problems we face in our day-to-day work.
What We Look For- A Degree in a Quantitative Field: An advanced degree in a quantitative field such as Mathematics, Engineering, Physics, or similar is required.
- A strong interest in finance coupled with strength in mathematics is expected.
- Ability to write robust and efficient code implementing the models. We build analytics using C++; however, expertise in using a different object-oriented language and writing performant code may be sufficient.
- Comfort with solving hard analytical problems and dealing with ambiguity
- Excellent communication skills are required. You will be expected to explain complex concepts to non-technical people in simple, intuitive terms.
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . 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 benefitsTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work modelBlackRock'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 candidatesAt 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.
