Product Strategy & Automations Specialist, Multi-Asset Strategies & Solutions (MASS), Associate

About this role

About this role

The MASS Income team is an established business responsible for managing more than $29bn in income-oriented model portfolios and funds globally with a robust commercial pipeline. The Team is currently seeking a motivated individual to help position the platform to support long-term growth. The ideal candidate will possess a combination of technological expertise, market and industry knowledge, and will be driven to deliver exceptional results. The individual should be able to translate business needs into structured requirements for technology enhancement or automation initiatives. They should also demonstrate familiarity with leveraging AI tools and Python to enhance productivity, streamline workflows, and support scalable solutions. We are seeking an individual who can work collaboratively with cross-functional teams and partners. The candidate should deeply understand markets, customer needs, and the competitive landscape. They must show the ability to explain how MASS Income’s strategies stand out in the market. The team is seeking someone with a desire to go above and beyond to improve processes, systems, and services to help drive commercial growth.  

Key Responsibilities: 

• Leverage technology, AI and Python to develop scalable tools, automate workflows, and enhance client content and investment analytics 
• Build tools and visualizations to better present data and analytics to clients 

• Collaborate closely with senior investors, sales & distribution, marketing, legal and other internal stakeholders  

• Maintain up-to-date knowledge of industry trends, customer needs, and competitive landscape to inform product strategy decisions and drive the product roadmap 
• Support all aspects of commercial growth, including developing marketing materials and completing RFPs  

• Perform regular quality control of external facing content and help trouble shoot issues as they arise  

Key Qualifications: 

• 3-6 years of investment industry/relevant experience 

• Proficiency in using AI tools and Python (e.g., large language models, copilots, or automation platforms) to enhance productivity and problem-solving 

• Hands-on experience building, customising, or deploying AI-enabled tools, workflows, or prototypes (e.g., prompt engineering, APIs, no-code/low-code platforms) is highly desirable 

• Familiarity with data visualization platforms (Tableau, Power BI, or similar) to support insight generation and decision‑making 

• Comfort learning and adopting new technologies quickly, with a proven ability to evaluate tools for scalability and business impact 

• Excellent written and verbal communication skills with an ability to synthesize and articulate complex issues and ideas  

• Proficiency with Microsoft Office (PPT, Excel) and experience working with technical concepts and analytical tools. Exposure to BlackRock’s Aladdin tools is a plus (Explore, ATX, PRT, others) 

• Meticulous attention to detail, and superb organizational and time management skills 

• Self-starter with strong analytical and problem-solving skills 

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 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.