About this role

BlackRock Systematic is seeking an Investment Strategist (Associate). This role is responsible for delivering superior client service and supporting business growth across the Americas, including business development, internal education, and thought leadership. The Investment Strategist will act as a key partner to VP- and Director-level strategists, supporting the delivery and scaling of SAE’s systematic active equity platform.

The successful candidate will work closely with product strategists and internal partners across the firm. This role requires strong analytical, communication, and presentation skills, as well as a solid understanding of capital markets.

Responsibilities:

• Develop reporting materials including market commentary, client review presentations, and strategy attribution across SAE strategies

• Provide high-quality client service to internal partners and external clients, including timely and insightful responses to client queries

• Partner with senior investment strategists and distribution teams to support client engagement and drive business growth

• Support SAE initiatives across public equity, hedge fund, and private market strategies

• Develop understanding of the competitive landscape and contribute to product positioning and business development efforts

• Assist with ad hoc analysis and client requests, including completing RFPs and supporting new business opportunities

• Act as a liaison between the investment team and key partners across BlackRock, including compliance, legal, operations, marketing, and sales

Programming Responsibilities:

• Contribute to programming initiatives that enhance the efficiency and scalability of client servicing and business development processes

• Build and maintain Python-based tools, dashboards, and libraries to automate recurring workflows (e.g., reporting, RFP responses, market commentary)

• Partner with research and technology teams to improve data management and enable more proactive client engagement

• Apply data analysis and visualization techniques to strengthen insight generation and client communication

• Support the development of internal tools and systems that improve process consistency and information sharing

Qualifications:

• BA/BS degree with 3–6 years of industry experience, including strong investment management knowledge and an understanding of capital markets

• Strong interpersonal and communication skills across internal and external stakeholders

• Analytical mindset with strong problem-solving capabilities

• Ability to work independently in a fast-paced, team-oriented environment

• Excellent Python programming skills and comfort working in data-driven environments; experience developing automation tools or analytical applications strongly preferred

• Familiarity with data visualization and risk models or Aladdin is a plus

Our benefits

To 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 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  on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.