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For two decades, BlackRock's Systematic Fixed Income team has combined advanced financial theory, econometrics and computing techniques to deliver exceptional investment performance to its clients. Today 70 investment professionals in London and San Francisco share a common passion – to combine innovative data sources and techniques to advance our understanding of financial markets. We build quantitative models across the full range of asset classes and related derivatives, including global interest rate products, equities, currencies, corporate bonds, credit default swaps and mortgage-backed securities, and we continually adapt our models to an ever-changing investment landscape. We deliver outstanding performance for our clients across the entire risk and return spectrum, from Smart Beta products to Fixed Income Global Alpha, our flagship $6bln hedge fund.
BlackRock's Systematic Fixed Income team is seeking a quantitative investment researcher for its Relative Value group. The candidate will join a global team of portfolio managers and researchers that manage all stages of a systematic investing process, including idea generation, quantitative research, analytics development, model implementation, execution and performance attribution. The candidate will be expected to contribute in each of these areas with emphasis on code development and rigorous data-driven research. The role will be based in San Francisco.
Develop innovative investment ideas using quantitative analysis
Deliver high quality research using advanced statistical techniques
Contribute to the team's code infrastructure and trading tools
Construct and support quantitative investment models
Work closely with all members of the team and the wider systematic platform
Skills and experience
Exceptional quantitative academic background, ideally a PhD or a Master's degree in Applied Mathematics, Statistics, Engineering or another technical discipline. Candidates with a Mathematical Economics or Econometrics academic back ground are also encouraged to apply. A proven ability to come up with own creative ideas would be a strong plus.
Very strong knowledge of general Statistical modelling methods, including Machine Learning and Econometric techniques would be highly desired, as well as solid experience working with real-world data.
Strong programming skills in Python or in at least one similar research language.
Knowledge of another object-oriented language would be a plus. Some knowledge of SQL and Unix would be helpful but not necessary.
A passion for financial markets is essential, perhaps demonstrated through some practical experience of applying macroeconomic theory to investing problems. Similarly, theoretical or practical experience in systematic investing would be a plus.
Effective communication skills, both written and verbal and ability to work efficiently in a team-oriented environment.
BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals. As of December 31, 2019, the firm managed approximately $7.43 trillion in assets on behalfof investors worldwide.
For additional information on BlackRock, please visit www.blackrock.com/corporate | Twitter: @blackrock |
BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person's appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.