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Jobs or company...

Quantitative Researcher

  • Full Time, onsite
  • Balyasny Asset Management L.P.
  • New York, United States of America
Salary undisclosed
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Balyasny Asset Management - Quantitative Researcher

We are looking for a Quantitative Researcher to join the Alpha Capture team. This position is based in New York. Alpha Capture is a systematic investment team within L/S Equity at BAM. We are a highly collaborative team that meets regularly to discuss ongoing research efforts, share findings, and brainstorm new initiatives. We are looking for someone who is highly detail-oriented, a dependable teammate that can deliver rigorous research and contribute to our quantamental strategies.

RESPONSIBILITIES

  • Process and analyze all kinds of datasets, both structured and unstructured
  • Collaborate closely with team members to develop alpha signals using alternative data
  • Utilize state of the art data science techniques to forecast company fundamentals & KPIs
  • Adopt a data-driven & fundamentally-motivated framework to come up with new alpha generation ideas and rigorously backtest them
  • Communicate findings to the team, soliciting feedback, and iteratively refining the core ideas until improvement can be demonstrated
  • Write robust, thoroughly tested and peer reviewed code to “productionize” improvements for the investment strategy and process
  • Prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline

QUALIFICATIONS

  • Master’s or PhD in Finance, Economics, Statistics, Financial Engineering or related quantitative fields
  • Ideally 1-3 years of working experience in quant research / equities / buyside
  • Solid knowledge of probability, statistics, finance, data structures and algorithms
  • Deep understanding of business fundamentals and strong finance intuition
  • Familiarity with financial reporting, and experience working with financial statements
  • Excellent programming skills in Python, R, SQL, Unix/Linux shell scripting
  • Comfortable working with complex large datasets and apply statistical methods appropriately
  • Strong problem solving skills and ability to identify and implement appropriate solutions
  • Ability to communicate complex ideas clearly; solid analytical, writing, verbal, technical skills
  • Outstanding attention to detail and strong organization skills
  • Pragmatic and have a can-do attitude in approaching real-world investment problems