Role OverviewThe MASS portfolio management team is seeking a highly motivated individual with a strong financial and technical background to further enhance our investment process and investment platform for Model Portfolios.
With the rapid expansion of the business, this role offers significant opportunities for the right candidate to make an impact on the success of both the team and the broader MASS business. The ideal candidate will possess outstanding attention to detail, excellent interpersonal skills, and have a passion for thinking critically about financial markets across and within asset classes.
Responsibilities:
- Manage multi-asset model portfolios comprised of ETFs and mutual funds and/or global single name physical equity portfolios.
- Perform daily fund management tasks, including implementing multiple investment strategies, rebalancing, and attribution.
- Ensure all mandates conform to performance expectations, investment guidelines, risk parameters, and regulatory requirements.
- Utilize technology and analytical tools to improve processes and drive scale.
- Build processes to solve investment challenges and integrate them with existing BlackRock infrastructure (i.e. Aladdin).
- Coordinate with analytics, risk, data and other platform teams to drive improvements in systems, investment and trading processes.
- Explore and apply AI and machine learning techniques, including prompt engineering, to advance scalable analytics and streamline processes.
- Collaborate with other portfolio managers to translate investment workflows into scalable technology solutions to mitigate risk and improve efficiency.
Experience/Qualifications:
- Undergraduate degree in a quantitative field (Physics, Mathematics, Finance, Economics, Computer Science or similar) or equivalent demonstrated professional experience with proven passion for investing.
- Demonstrated understanding of portfolio construction and the quantitative concepts of risk and exposure, and their application to portfolio management through optimization, beta and FX hedging, and risk and performance attribution.
- Experience building AI tools combined with academic experience in quantitative finance and portfolio management
- Meticulous attention to detail with an ability to remain focused across a wide range of portfolio types and activities. Strong process awareness and ability to address operational risk issues.
- Ability to problem solve identifying potential issues, seeking help or input from others, working quickly towards a resolution, and proposing and implementing changes to mitigate future issues.
- Strong communication and interpersonal skills, including ability to deliver presentations internally/externally and coordinate across multiple groups around the firm.
- Coding experience with Python and SQL required. Experience with other programming languages is a plus.
For San Francisco, CA Only the salary range for this position is USD$116,000.00 - USD$155,000.00 . 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.
