Quant Researcher - Execution Algorithms | Manhattan, NY, USA | Remote

Selby Jennings
New York, US
RemoteCareer-pivot friendly

Why this role

Pace
Fast Paced
The job requires a fast-paced environment where the researcher must work with large-scale datasets and perform regime analysis, indicating a high pace of work.
Collaboration
High
Collaboration is a key aspect of this role, as the researcher must work with other quantitative researchers, developers, and technical stakeholders to integrate impact insights into broader forecasting frameworks.
Autonomy
High
The role offers significant autonomy, as evidenced by the need to design and test models independently and the emphasis on individual drive in a small, autonomous research team.
Decision Impact
Team
Decisions made in this role can significantly impact the firm's trading strategies and success, as the researcher is responsible for modeling market impact and forecasting market dynamics.
Role Level
Team Lead
The complexity of the role is high, requiring expertise in statistical modeling, market impact analysis, and the ability to work with large datasets.
Career Pivot Friendly
Welcomes transferable skills
Individuals with a background in quantitative analysis or financial modeling can easily transition into this role, as the competencies required are directly applicable.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developing and implementing advanced models for market impact
  • Improving the accuracy of market impact predictions
  • Collaborating effectively with cross-functional teams
Typical background
PhD or Master's in Mathematics, Statistics, Physics, or related quantitative fieldExperience in quantitative finance or related industryStrong background in statistical modeling and data analysis

Transferable backgrounds

  • Coming from quantitative analyst at a hedge fund
    statistical modeling · market analysis
    The experience in statistical modeling and market analysis directly translates to the responsibilities of designing and testing empirical models in this role.
  • Coming from data scientist at a tech company
    data analysis · communication of technical results
    A data scientist's skills in analyzing large datasets and effectively communicating technical results to stakeholders are highly relevant to this role.

Skills & requirements

Required

Quantitative ResearchMarket Impact ModelingStatistical ModelingData AnalysisCollaboration With Developers

Preferred

Machine LearningFinancial MarketsAlgorithmic Trading

Stack & domain

Empirical And Statistical ModelsMarket Impact ModelingRegime AnalysisStress TestingCross Market ComparisonsLarge-scale Historical And Live Market DatasetsCollaborationCommunicationFinanceQuantitative ResearchTrading

About the role

This role involves designing and testing models to quantify market impact, collaborating with other researchers to integrate insights into broader forecasting frameworks, and working with large datasets to perform detailed regime analysis.

Original posting from Selby Jennings

I'm partnered with a global proprietary trading firm with a long track record of systematic trading success as their seeking an experienced Quantitative Researcher specializing in Market Impact Modeling to join one of its core research groups. This is a Lead research role within a highly selective team focused on understanding, modeling, and forecasting market impact across liquid financial markets.

The firm operates Globally, with more than 200 professionals across several continents, yet maintains small, autonomous research teams where individual drive high impact. This role is fully remote, enabling collaboration across regions while preserving flexibility and focus.

Key Responsibilities

  • Design and test empirical and statistical models that quantify market impact across different regimes, volumes, and liquidity environments
  • Investigate temporary vs. permanent impact, impact decay, and nonlinear effects
  • Model interactions between traded volume, market state, volatility, and order flow
  • Extend market impact analysis beyond immediate execution windows into longer‑term dynamics
  • Explore how impact‑related variables can inform medium‑term price movements
  • Collaborate with other quantitative researchers to integrate impact insights into broader forecasting frameworks
  • Work with large‑scale historical and live market datasets
  • Perform regime analysis, stress testing, and cross market comparisons
  • Partner with developers and other researchers to move models into production
  • Clearly communicate results, assumptions, and limitations to technical stakeholders

Source: Selby Jennings careers

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