About this roleTeam OverviewYou are joining the Multi-Asset Strategies & Solutions (MASS) team which is the investment group that sits at the heart of BlackRock's portfolio construction, asset allocation, and active management ecosystem. MASS draws on the full toolkit of the firm's index, factor, and alpha-seeking investment capabilities to deliver investment outcomes and ground-breaking alpha insights. We are one of the fastest growing businesses of BlackRock and see a further acceleration of whole portfolio conversations in the years ahead.
Position OverviewThe Model Portfolio Solution (MPS) team is seeking an Associate to join and support the global team of investment researchers, portfolio managers and client strategists in development and management of Multi-Asset model portfolios. This role requires strong analytical, quantitative and programming skills and ability to work and communicate in a global team spread across time-zones. Given the focus on multi-asset approaches among our clients and within BlackRock, this role has considerable scope for the right individual to have an impact on both the success of the team as well as the broader MASS and MPS businesses.
What you will do:
Infrastructure Maintenance- Develop and maintain Power BI or equivalent dashboards like Streamlit or others supporting investment research, portfolio management and reporting.
- Leverage Aladdin technology and analytical tools to enhance investment processes and help drive scale.
- Work closely with portfolio managers and strategists on performance and exposure reporting for clients and internal stakeholders.
Quantitative Data Management & Maintenance- Develop and maintain Python code to support existing and new quantitative research and investment processes.
- Work with Aladdin and technology teams to incorporate quantitative signals into MPS research and production platforms.
- Maintain robust investment logic, data quality and controls, and support dissemination of investment benchmarks and portfolio allocations to downstream stakeholders.
Investment Research- Partner with researchers and portfolio managers to develop and test quantitative investment signals.
- Support the development of new investment products and solutions and remain current on developments in global financial markets and economics.
- Leverage AI tools to enhance investment research, analysis and efficiency across research workflows.
What you should have:- Bachelor's degree or higher-level qualification; postgraduate degree, CFA or progress toward a relevant professional qualification preferred.
- At least 3 years of relevant experience in asset management or financial services, preferably in quantitative investment research or portfolio management.
- Good knowledge of quantitative finance, investment processes and capital markets across Equities, Fixed Income and Alternatives.
- Strong analytical and problem-solving skills, with the ability to translate ideas into implementable investment insights.
- Strong programming skills, with knowhow Python essential; experience with AI tools and technologies, Power BI, SQL, and/or Bloomberg beneficial.
- Familiarity with leveraging generative AI or AI-assisted development tools to improve research, coding and investment workflows is beneficial.
- Excellent communication and organizational skills, with the ability to work effectively across global teams and stakeholders.
- High level of self-motivation, ownership and initiative, with a strong work ethic and collaborative approach.
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.
About BlackRockAt 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
