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PDT Partners

Quantitative asset management via algorithmic trading

Trading Operations Analyst - Asia Market Hours

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$125k - $225k /yr

About the Job

Requirements

  • 3-10 years of relevant professional experience
  • Exposure to and/or passionate interest in financial markets, asset classes, market structure, industry news, and related systems
  • Exceptional troubleshooting and problem-solving skills, particularly in fast paced, high-pressure environments
  • Strong analytical skills and attention to detail
  • Experience with a variety of technical competencies, including one or more of the following: Python, Flask, Java, C#, SQL, UNIX/Linux, networking, cloud technologies, scheduling/orchestration

Responsibilities

  • Monitor trading and portfolios to ensure they adhere to risk and trading limits.
  • Monitor and guide the successful execution of algorithmic trading, rolls, and hedging.
  • Triage outages and order problems; work with internal and external groups if necessary.
  • Provide market and trading analysis, proactively investigate new opportunities and provide recommendations.
  • Prepare for and respond to market events, corporate actions, and regulatory changes.
  • Help manage the deployment of new strategies and models.
  • Help design and develop internal tools, dashboards, and automation.
  • Support post-trade activities to aid effective clearing and accurate record-keeping.

Desired Qualifications

  • Experience with Python, Flask, Java, C#, SQL, UNIX/Linux, networking, cloud technologies, scheduling/orchestration
  • Ability to work in a fast-paced, high-pressured trading environment (desirable)
  • Hybrid work arrangement experience (desirable)
  • Exposure to risk management and portfolio management processes (desirable)

About the Company

PDT Partners

Quantitative asset management via algorithmic trading

PDT Partners uses quantitative models to identify market inefficiencies and predict price movements for institutional clients through algorithmic trading. It analyzes large market datasets to find patterns and executes trades with automated strategies that run with precision. Differentiators include a long history since the 1990s, emphasis on empirical validation and scientific research, and a collaborative culture that vets ideas before implementation. The goal is to deliver consistent investment returns by systematically exploiting market inefficiencies through data-driven trading.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
1993

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