Augment Jobs

Algorithmic Trader

Augment Jobs Los Angeles, CA

Job Title: Algorithmic Trader

Job Description: We are seeking a talented and analytical Algorithmic Trader to join our trading team. As an Algorithmic Trader, you will leverage your expertise in quantitative analysis and programming to develop, implement, and optimize algorithmic trading strategies. Your role will be crucial in executing trades efficiently across various financial markets while managing risk and maximizing profitability.

Roles And Responsibilities

  • Develop and refine algorithmic trading strategies based on quantitative analysis, statistical models, and market data.
  • Implement algorithmic trading models using programming languages such as Python, C++, or Java, and leverage trading platforms and APIs.
  • Conduct backtesting and simulation of trading algorithms to evaluate performance and optimize parameters.
  • Monitor market conditions and trading signals in real-time to identify opportunities and execute trades swiftly and accurately.
  • Collaborate with quantitative analysts, developers, and researchers to enhance trading strategies and algorithms.
  • Manage trading algorithms and systems, including monitoring performance metrics and risk management parameters.
  • Stay updated with market trends, regulatory changes, and technological advancements in algorithmic trading.
  • Analyze trading data and performance metrics to derive insights and continuously improve trading strategies.

Skills Required

  • Bachelor's degree in Finance, Mathematics, Computer Science, or a related field. A Master's degree or CFA designation may be preferred.
  • Proven experience (X years) as an algorithmic trader, quantitative analyst, or in a similar role within financial markets.
  • Strong programming skills with proficiency in languages such as Python, C++, or Java. Familiarity with algorithmic trading libraries and platforms (e.g., QuantConnect, MetaTrader) is advantageous.
  • Deep understanding of financial markets, trading strategies, and quantitative analysis techniques.
  • Experience with statistical modeling, time series analysis, and machine learning algorithms applied to trading.
  • Knowledge of market microstructure, order types, and execution algorithms.
  • Strong analytical and problem-solving skills, with attention to detail and accuracy.
  • Ability to thrive in a fast-paced and dynamic trading environment, with a commitment to continuous learning and improvement.

Compensation: The compensation package for this position includes a competitive base salary commensurate with experience and qualifications. Additional benefits such as performance-based bonuses, health insurance, and retirement plans may be offered.
  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Finance and Sales
  • Industries

    Financial Services

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