Quantitative Researcher | Pod of 5 | Equities

Qenexus
New York, US
On-site

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
High
Decision Impact
Team
Role Level
Individual Contributor

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

What success looks like

  • deployed trading algorithms
  • discovered trading opportunities
  • improved market simulators
Typical background
Masters or PhD in Mathematics, Statistics, Computer Science

Transferable backgrounds

  • Coming from algorithmic trading
  • Coming from risk management

Skills & requirements

Required

MathematicsStatisticsData AnalysisHigh-frequency TradingQuantitative TradingC++

Preferred

PythonMachine Learning

Stack & domain

C++MathematicsStatisticsData AnalysisBack-testingSimulationsStatistical TechniquesHandling Large DatasetsTick DataQuantitative TradingEquities Markets

About the role

Original posting from Qenexus via LinkedIn

Qenexus are recruiting on behalf of a pod who have recently joined a leading Quantitative Trading Firm in New York.

Responsibilities:

  • Design and deploy trading algorithms for equities markets.
  • Analyze market data and micro-structures to discover trading opportunities.
  • Build tools to identify data patterns.
  • Contribute to data analysis and trading libraries.
  • Develop and improve market simulators.

Qualifications:

  • Masters or PhD in Mathematics, Statistics, Computer Science, or a related STEM field
  • Experience in high-frequency or quantitative trading is a plus
  • Strong skills in math, statistics, and data analysis
  • Familiar with back-testing, simulations, and statistical techniques (e.g., auto-regression, PCA)
  • Experience handling large datasets, including tick data
  • 5+ years of experience in C++

Why Apply with Qenexus?

  • 10+ years of buyside search experience in global markets across London, New York, Asia & The Middle East.
  • Discretion & Delivery: At Qenexus, discretion & privacy are paramount. We conduct each search & engagement with the utmost discretion, providing comfort to all parties involved.

For more info, please click apply or email Tom on tom@qenexus.com.

Source: Qenexus careers (LinkedIn)

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