Easetalent is a premier recruiting and consulting firm dedicated to connecting exceptional talent with ideal career opportunities. Our mission is to facilitate the growth and success of both our candidates and partner companies by bridging the gap between talent and opportunity.
About the Role:
We are seeking a seasoned AI/ML Trading Quantitative Analyst with a proven track record of building advanced financial trading algorithms within established institutional firms. In this role, you will play a critical part in advancing algorithmic trading capabilities. Responsibilities include backtesting and optimizing existing algorithms, forecasting market trends, and developing high-performing trading algorithms from inception to deployment. Success in this position requires a strong foundation in machine learning, a deep understanding of market dynamics, and demonstrated experience working with institutional-grade trading systems.
Responsibilities:
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Design and implement machine learning algorithms for financial data analysis
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Develop predictive models to forecast market trends and asset prices
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Conduct in-depth analysis of financial data using statistical methods and AI techniques
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Assess and manage financial risks through quantitative models and risk strategies
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Collaborate with cross-functional teams to integrate AI models into trading strategies
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Stay updated on AI and machine learning advancements to enhance existing models and propose new solutions
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Proficiently code in Python, R, or MATLAB to implement and test quantitative models
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Develop advanced backtesting models that prioritize recent data and adapt dynamically to market conditions
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Create adaptive algorithms capable of adjusting key parameters in real-time
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Implement NLP-based sentiment analysis for integration into trading strategies
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Identify and respond to market anomalies using AI-driven analysis
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Deploy and manage AI models in cloud environments, ensuring scalability, security, and performance
Key Competencies:
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Proven expertise in designing complex financial algorithms and innovative machine learning solutions
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Skilled in integrating and deploying AI solutions on cloud platforms, particularly AWS
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Experience in AI-driven fundamental analysis to extract actionable insights from market data and news
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Strong capabilities in managing and structuring broker or market data within modeling pipelines
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Effective team collaboration skills for integrating AI models into broader trading strategies
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Excellent communication skills, both written and verbal
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Highly organized, detail-oriented, and dependable in meeting deadlines
Education and Experience:
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Master’s or Ph.D. in quantitative finance, financial engineering, computer science, or a related field
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Minimum 2 years of hands-on experience applying machine learning techniques and trading algorithms in financial markets
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At least 7 years of experience within a financial institution, hedge fund, prop desk, or fintech environment
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Proficiency in Python, R, or MATLAB, with familiarity in modern machine learning frameworks
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Strong knowledge of financial markets, trading strategies, and risk management principles
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Advanced analytical and problem-solving skills
Benefits:
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100% remote work flexibility
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Revenue share compensation component
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Comprehensive health, dental, and vision insurance
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Voluntary life insurance options
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Paid time off
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Professional development and training opportunities
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Access to trading products and services at significant discounts, and in some cases, free