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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
Job Description
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