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BlackRock's Model Portfolio Solutions (MPS) team develops systematic investment strategies to deliver consistent outperformance for clients seeking tactical, outcome-oriented, and/or strategic investment solutions. The team implements these strategies across a global suite of ETFs and active funds. We are seeking a Researcher / PM to assist with our original investment research and portfolio management. The role will involve the development of new investment strategies, portfolio construction, and model / portfolio management.
Job Responsibility:
Carry out original, implementable financial research that forecasts drivers of market returns and aids in building or improving multi-asset portfolios
Develop alpha signals for trading baskets of stocks, bonds, commodities or alternative securities, either within an asset class or across asset class
Build tools, data analytics and visualizations to facilitate and/or improve portfolio management, research and/or discussions around discretionary fundamental investing
Implement original financial insights in client portfolios and models, using them to deliver investment performance that meets or exceeds client expectations
Remain up-to-date on developments in global financial markets and economics
Requirements:
Degree in finance, financial engineering, data science, economics, or accounting
advanced degree a plus
Strong technical and coding skills, including at least one year programming in Python and experience working with large data sets
Creativity and capability to move ideas to implementable investment insights
Impeccable character with high ethical and quality standards, strong work ethic and focus on the team
Proven ability to work independently and diligently with limited oversight
Confidence to credibly represent the firm and to champion new products/ideas internally
Passion for the successful generation of disciplined investment out-performance
Ability to work in a fast-paced, team environment where there is a premium on collegiality
Nice to have:
Work experience in financial markets and in quantitative data analysis is a plus