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Quantitative Researcher; Alpha Capture

Job in New York, New York County, New York, 10002, USA
Listing for: Balyasny Asset Management
Full Time position
Listed on 2026-10-13
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Scientist
Job Description & How to Apply Below
Position: Quantitative Researcher (Alpha Capture) - New York
Location: New York

Location:

New York Department:
Investment Professionals Experience Level: Experience Professionals Contact:
Nicole Duffy Job  Researcher (Alpha Capture) New York, New York We are looking for a Quantitative Researcher or Data Scientist to join the Alpha Capture team. This position is based in New York. Alpha Capture is a systematic investment team within L/S Equity  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 detail-oriented and brings sector-specific experience to our team that can deliver rigorous research to contribute to our strategies.

RESPONSIBILITIESProcess 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 & KPIsAdopt 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 product ionize improvements for the investment strategy and process

Prioritize and manage multiple tasks and projects concurrently to meet/exceed deadlineQUALIFICATIONSMaster'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

Sector-specific expertise in Industrials, Energy, or B2B TMT a plus
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