Quantitative Researcher

PECK SLIP, NY, US • Posted 2 days ago • Updated 2 hours ago
Full Time
On-site
USD 150,000.00 per year
Fitment

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Job Details

Skills

  • Equities
  • Statistics
  • Python
  • Statistical Models
  • Research
  • SQL
  • Trading
  • Cost-benefit Analysis
  • TCA
  • Cloud Computing
  • Quantitative Research
  • Workflow
  • Asset Management
  • Linear Programming

Summary

Quantitative Researcher (New York, NY): Work directly with a Quantitative Portfolio Manager to support an investment team by conducting quantitative research and analysis relating to equity trading, equity alpha generation, and portfolio construction. Develop intraday trading strategies and execute equity trading. Develop broad-based statistical arbitrage alphas and trading strategies. Work with quantitative research; systematic trading; systematic equities; developing and conducting quantitative research and statistical analysis for equity alpha generation and portfolio construction; designing, backtesting, and evaluating statistical arbitrage signals/strategies using rigorous research methodologies; developing and supporting intraday trading strategies and execution-oriented research, incorporating practical trading constraints; programming in Python to build and implement mathematical/statistical models and research tools for equity trading and alpha generation; SQL to extract, join, and analyze large-scale market and trading datasets; equity trading and market microstructure, including use of flow data and transaction cost analysis (TCA) concepts to assess implementation costs (slippage/market impact); and, cloud computing capabilities to support data-intensive quantitative research workflows. Reqs. Master's degr + 3 yrs of exp. Salary Range: $150,000.00 -

$225,000.00 per year.

Email resume to or mail resume to Hannah Ogren, Balyasny Asset Management, LP, 444 West Lake Street, 50th Floor, Chicago, IL

60606. Must Ref# AL43BAMNY.

No phone calls.

JobiqoTJN. Keywords: Quantitative Researcher, Location: PECK SLIP, NY - 10060
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: pandfeed
  • Position Id: 603925418
  • Posted 2 days ago
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