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Quant Researcher

Job in New York, New York County, New York, 10261, USA
Listing for: Selby Jennings
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$/yr - $/yr

Quantitative Research & Trading Consultant @ Selby Jennings | Quant (Trading, Research, Development)

We are seeking a highly technical Quantitative Researcher to join our clients Global Equities Statistical Arbitrage team. This role will sit under a Senior PM who will be looking for someone with strong research ability but also strong technical skills (Python, C++). This role is ideal for someone passionate about research and innovation, as you will collaborate directly with the PM and trading team to translate research into actionable strategies.

Responsibilities
  • Conduct research to develop short-term statistical arbitrage signals.
  • Analyze large-scale tick-level datasets to identify patterns and opportunities.
  • Collaborate with traders and engineers to design and refine strategies.
  • Prototype and validate models in Python; assist in production implementation using C++.
  • Continuously improve signal generation and execution efficiency.
Required

Skills & Qualifications
  • Advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.
  • Python for data analysis and research.
  • C++ experience is highly desirable for production environments.
  • Solid understanding of statistical modeling, time-series analysis, and machine learning techniques.
  • Experience working with tick-level or high-frequency datasets.
  • Ability to work independently on complex research problems and communicate findings clearly.
  • Prior exposure to global equities markets and statistical arbitrage strategies.
  • Experience in a systematic trading environment.
Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Management and Research

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