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Quantitative Data Analyst Jobs
Company | Racon Capital Partners |
Address | , Milwaukee, Wi |
Employment type | |
Salary | |
Expires | 2023-07-22 |
Posted at | 11 months ago |
Responsibilities
- Work directly with Director of Quant Research to ingest and evaluate new datasets for alpha generation and other quantitative models.
- Access, clean, and organize data, to facilitate the team’s ongoing research.
- Build industry-leading data models, APIs and standards for storing and accessing data to support ongoing quantitative research and live trading.
- Ensure that data analysis can be widely used among the team by keeping code in good order and by building appropriate user interfaces to allow for deployment among non-technical team-members.
Quantitative/Strategy Development
- Communicate research results through reports and presentations, supported by tables and visual aids.
- Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
- Collaborate on team research projects, as well as work independently on individual research assignments.
- Research quantitative questions of importance to portfolio managers. This research will include risk management, trading strategies, and assessing market and economic conditions.
- Develop and continuously improve upon mathematical models, and convert algorithms into code
Qualifications
- Prior experience in a quantitative role within a trading asset management environment.
- Experience, or aptitude to learn machine learning techniques including clustering and regularized regression.
- Experience with database architecture, data extraction, design and management.
- Undergraduate and/or Master’s degree, (or equivalent experience) in a technical discipline such as engineering, statistics, mathematics, or computer science.
- Strong knowledge of financial mathematics and statistics.
- Experience using statistical models for data analysis, including probability, regression, and time-series models for investments or financial service application
Technical Skills
- Experience with processing and cleaning data, including the use of API’s. Knowledge of Bloomberg API, S&P capital IQ and/or Alpha Factor Library preferred.
- Demonstrate thorough understanding of system design, ETL and data ingestion techniques.
- Working knowledge of Linux OS
- Strong programming experience in Python and SQL (3+ years preferred)
Join the Team
Do you want to join the Racon Team?
Send us a message
email [email protected].
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