About this roleRole OverviewWe are seeking a Quantitative Investment Lead to join the Investment Process Innovation team. The team is a key contributor to scale and product development across SMA Solutions investment ecosystem, continuously seeking ways to enhance our investment process and discipline across our platforms. The ideal candidate will manage and enhance our research infrastructure, develop new fixed income investment processes and serve as a key contributor to the development of new investment strategies. This position is situated in a fast-paced environment and will provide significant contribution required for enhancing the productivity and scalability of the SMA Solutions' business.
Key Responsibilities:
- Lead the development and maintenance of internal backtesting and sample testing infrastructure.
- Design and develop optimization-based portfolio management processes for Fixed Income strategies.
- Perform quantitative analyses to refine various investment approaches.
- Communicate recommendations with key stakeholders and senior leadership as a subject matter expert.
- Work in a collaborative environment to develop portfolio optimization solutions utilizing BlackRock's Aladdin APIs /platform.
- Develop software solutions primarily in Python and SQL.
- Interact with portfolio managers to understand investment objectives and processes.
- Interact with SMA Solutions technology teams to ensure proper rollout of new functionality.
- Identify areas of improvement across the entire investment process, including order generation, trading and workflow management.
- Provide and maintain clear and accurate documentation on optimization solutions and services.
- Provide ongoing support on solutions and services as the project matter expert.
Required Knowledge/Experience:- Undergraduate degree is required, and an advanced degree (Masters) is a plus within a technical field (Computer Science, Engineering, Mathematics).
- At least 7 years of experience in optimization, quantitative investing, and/or data engineering.
- Experience in Python Programming with a deep understanding of core libraries and concepts.
- Knowledge and experience addressing data quality, scalability and reliability.
- Self-starter and self-directed orientation required.
- Ability to work efficiently and multi-task in a fast-paced and collaborative environment.
- Strong attention to detail. Strong interpersonal skills (both written and verbal) to work with, train, and support users of platform tools and processes.
- Proven problem-solving skills and ability to troubleshoot software issues.
Helpful Knowledge/Experience:- Experience working with relational/non-relational and cloud databases and understanding of storage technologies.
- An interest in and general understanding of financial markets especially the fixed income markets, including drivers of return and risk. Work experience with financial and markets preferred.
- Familiarity with BlackRock Aladdin toolset is helpful.
For Princeton, NJ Only the salary range for this position is USD$140,000.00 - USD$200,000.00 . 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.
