Model Portfolio Engineer, Vice President –Multi-Asset Strategies & Solutions (MASS)
What team will you be on?
Why is your role important?
What will you be doing?
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
- Build and evolve technology and scalable processes that enable the Model Portfolio team to manage a growing and increasingly customized business without requiring proportional increases in manual portfolio management effort.
- Develop software, analytics, monitoring capabilities, and automated workflows supporting the end-to-end portfolio management lifecycle, including portfolio monitoring, customization, rebalancing, implementation, controls, and the identification of investment, implementation, and operational issues.
- Operate as both a portfolio manager and technologist, participating directly in portfolio monitoring, rebalancing, implementation, and other investment processes while translating those workflows into robust, scalable technical solutions in partnership with portfolio managers and engineering teams.
- Design tools and workflows that apply quantitative techniques and artificial intelligence (AI) to improve portfolio decision-making, automate repetitive work, reduce operational risk, and enable portfolio managers to focus on higher-value investment decisions.
- Own technical solutions from initial problem definition and prototyping through implementation, adoption, ongoing enhancement, and support.
- Collaborate across investment, engineering, strategy, infrastructure, operations, and distribution teams to deliver solutions supporting portfolio management and broader business objectives.
- Contribute to the team's technical strategy by evaluating emerging technologies, rapidly prototyping new approaches, and helping determine which ideas should become durable production capabilities.
What are we looking for?
- Bachelor's degree in Computer Science, Engineering, a quantitative discipline, or equivalent practical experience.
- Strong software engineering skills, including experience using Python or comparable programming languages to build reliable, reusable applications, analytical tools, application programming interfaces (APIs), data-driven solutions, or scalable automated workflows.
- Knowledge of investment management, portfolio construction, portfolio analytics, financial technology, or another quantitatively oriented domain, with strong analytical ability to work with portfolio holdings, allocations, investment data, and large datasets. Relevant financial industry experience is beneficial but not required.
- Demonstrated ability to translate ambiguous business or investment problems into well-designed technical solutions and take them from initial definition or prototype through implementation, adoption, and ongoing improvement.
- Interest in applying artificial intelligence and emerging technologies to real investment-management workflows, with an emphasis on practical implementation, appropriate controls, and measurable business impact.
- Ability to work effectively with technical and non-technical stakeholders and clearly communicate complex investment and technology concepts.
- Strong interest in operating at the intersection of portfolio management and technology, with the ability and willingness to develop expertise across both investment and software engineering disciplines.
- Chartered Financial Analyst (CFA) designation or progress toward the designation is beneficial but not required.
For San Francisco, CA and New York, NY Only the salary range for this position is USD$155,000.00 - USD$210,000.00 . 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.
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