Quantitative Investment Researcher - Multi Asset Strategies VP / Director

  • Competitive
  • London, England, United Kingdom
  • Permanent, Full time
  • BlackRock
  • 16 Nov 17 2017-11-16

BlackRock is a global leader in investment management, risk management and advisory services for institutional and retail clients.  At December 31, 2016, BlackRock’s AUM was $5.1 trillion. BlackRock helps clients around the world meet their goals and overcome challenges with a range of products that

BlackRock is a global leader in investment management, risk management and advisory services for institutional and retail clients.  At December 31, 2016, BlackRock’s AUM was $5.1 trillion. BlackRock helps clients around the world meet their goals and overcome challenges with a range of products that include separate accounts, mutual funds, iShares® (exchange-traded funds), and other pooled investment vehicles.  BlackRock also offers risk management, advisory and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions®.  As of December 31, 2016, the firm had approximately 13,000 employees in 30 countries and a major presence in global markets, including North and South America, Europe, Asia, Australia and the Middle East and Africa. For additional information, please visit the Company’s website at www.blackrock.com | Twitter: @blackrock_news | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock
 

Business Unit Overview:

BlackRock is a leader in the development of model portfolios and solutions, managing over $16 billion in assets across these types of strategies globally. The Model Portfolio Solutions (MPS) team, as part of the Multi-Asset Strategies (MAS) business, brings together the research and investment expertise of teams across the firm through a systematic quantitative approach in order to deliver a comprehensive range of outcome oriented solutions. The competitive advantages of MPS at BlackRock lie in the depth and breadth of our product offerings to leverage the best of BlackRock’s active and passive investment platform, our unique capabilities in data, technology and analytics, and our innovative approach to research and systematic investing. The responsibilities of the team span portfolio management and research, product and investment strategy, thought leadership, and business development.
 

Job Purpose/Background:

BlackRock is seeking an experienced quantitative investment researcher.  This individual will join a team of researchers and portfolio managers focused on the development and management of Multi-Asset models and solutions. This role will be particularly focused on building and managing bespoke Multi-Asset solutions utilizing our proprietary quantitative platform to combine exposure, capabilities and insights from across BlackRock’s breadth of product offerings, including our Scientific Active Equity and Model Based Fixed Income quantitative investment groups.
 
The role requires strong analytical and quantitative skills and experience, evidenced by an advanced degree (PhD preferred) and significant investment or financial market experience. In addition, the candidate should possess the ability to communicate and collaborate effectively with a global team of researchers and portfolio managers, both within the MPS team and the BlackRock community.  The successful candidate would ideally have a track record of delivering investment performance and, ideally, significant experience developing and managing Multi-Asset solutions. The role will be based in London.  


Key Responsibilities:

  • Develop new model investment strategies in response to client trends and demand, leveraging the breadth of BlackRock’s proprietary risk & investment platform.
  • Identify and research medium-term risk premia and market anomalies potentially covering any asset classes or across asset classes, in coordination with MAS research.
  • Perform macroeconomic and asset-class modeling to drive investment portfolio solutions for client segments across EMEA. Conduct market structure, market behavior and portfolio implementation research.
  • Develop quantitative signals to drive portfolio allocations in MPS models and portfolios.
  • Work with the MPS team and with sales teams to construct portfolios tailored to regional client requirements.
  • Gather, maintain and analyze economic and financial data in support of the investment strategy and model portfolio solutions business
  • Build relationships with other teams supporting the investment data and portfolio build and maintenance process. Closely partner with multiple teams across the organization (trading research, capital markets research, etc.) in the execution of joint research work.
 

Knowledge / Experience:

  • Excellent quantitative and empirical research skills evidenced by an advanced degree in econometrics, statistics or other quantitative discipline.  PhD preferred.
  • Demonstrable experience in portfolio management or investment research within a financial firm or experience in an economics-focused group such as an economics think tank, governmental agency, or sell-side team.
  • Strong interest in and understanding of financial markets, including drivers of return, sources and measures of risk as well as portfolio construction techniques.
  • Strong programming skills (Matlab, Python, SQL) and a strong understanding of the use of computational algorithm and techniques for analysis and reduction of large data sets.
  • Strong understanding of data available in the investment management industry and experience in managing and accessing such data to support research efforts.
  • Effective communication skills, both written and verbal. The successful candidate must have the confidence and credibility to persuasively interact with colleagues, management, and clients.
  • Ability to work efficiently and multi-task effectively in a fast-paced and team-oriented environment and trading dimensions. This will include end-to-end research project work from data gathering to hypothesis testing and model implementation.