-
ID
#23505758 -
Job type
Permanent -
Salary
TBD -
Source
BlackRock -
Date
2021-11-25 -
Deadline
2022-01-24
Vice President, Quantitative Researcher (ETF/Index Investing) - San Francisco, CA
California, Sanfrancisco, 94105 Sanfrancisco USAPermanent
Vacancy expired!
- Our mission statement: help more and more people experience financial well-being, allowing them to have better health, education, and retirement.
- As the biggest asset manager, we are among the top companies globally with a highly secure and established financial pedigree.
- We are growing dynamically so there are always new opportunities.
- BlackRock is socially responsible and is leading the push for a more climate-conscious, sustainable & ethical approach to corporate governance, products & investing.
- BlackRock is a FinTech company with an equal emphasis on technology and finance.
- There are a lot of perks, e.g. unlimited holiday, free access to learning sites, a stipend to undertake training.
- Compared to many big companies, employees enjoy more freedom to give input, make decisions and express their opinion, regardless of your level.
- Thinking about the big picture including how your research can translate into a usable product by our clients.
- Someone who loves to mentor and guide your more junior colleagues.
- Comfortable taking full ownership of a project or analytical product, not just doing what you are told.
- Passionate about quality, may it be data analysis, code, or a presentation.
- Curious and keep up to date in your field
- Conduct research and statistical analysis to help build and drive our analytical offerings
- Apply advanced techniques (i.e. machine learning) on complex financial data to generate commercial values for our business partners
- Provide data insights and thought leadership for internal and external client use
- Exploit trading opportunities around index inefficiencies and build event-driven signals
- Experience working in Finance or FinTech (minimum 2 years)
- Background working in a data driven research environment, preferably with financial data
- Solid understanding of probability and statistics (e.g., time-series analysis, pattern recognition, NLP)
- Deep knowledge in the financial markets such as equity, fixed income and derivatives, etc.
- Experience with SQL databases, Python/R, NumPy, SciPy, and similar data science and optimization packages
- Strong written and verbal communications skills
- Advanced training in Mathematics, Statistics, Physics, Computer Science, Economics/Finance or another highly quantitative field (PhD preferred)
Vacancy expired!
Report job