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About CoinDesk Indices
CoinDesk Indices are the industry standard for institutional single- and multi-asset benchmarks for crypto assets. The flagship CoinDesk Bitcoin Price Index (XBX) has been in operation continuously since 2014. Financial institutions rely on the XBX and other CoinDesk Indices products to benchmark billions of dollars in assets under management and to price hundreds of millions in over-the-counter transactions, daily. We are adding to the list below, developing new indices for some of the largest institutions active in the crypto market.
About the role
CoinDesk Indices is looking for an experienced quantitative researcher to join the index research
team, directly reporting to the head of research. The primary responsibility for this role will be to
develop quantitative, rules-based index strategies in digital assets and build tools and analytics to
support index innovation.
Responsibilities
- Conduct research on investment ideas to help test, construct and improve index
- strategy
- Develop and streamline processes for data processing, acquisition and cleaning from
- various sources including internal and 3 rd party databases
- Build research code library to support data analysis, backtest and performance
- analytics
- Work closely with product and engineering teams in the design and implementation of
- digital asset indices
- Act as the go to resource for analytical expertise for internal and client requests
- Stay on top of research and data trends in the digital asset space to contribute to idea
- generation
Qualifications
- Advanced Degree in a technical field including but not limited to Statistics, Mathematics,
- Physics, Econometrics, Computer Science and Financial Engineering
- 2+ year of experience as a quantitative researcher in the buyside. This could include an
- index company, an index group at a bank, an ETF issuer, or a quant fund.
- Proficient in Python or other programming languages
- Experience with financial datasets and SQL database
- Strong math and statistics background, big data/machine learning experience is a plus
- Hands-on experience with factor research, portfolio back-testing, performance analysis
- and portfolio optimization
- Familiarity with financial market data and products. Knowledge or experience in digital
- assets is a plus
- Ability to work independently against tight deadlines
- Ability to work collaboratively with team members across functional roles and strong
- communication skills