AI-Driven Quantitative Researcher

Ahuora; San Jose (CA); In loco; USD 200.000 - 300.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Life insurance

Retirement plans

Tax-advantaged savings

Descrizione del lavoro

Ahuora, a cutting-edge investment firm in the United States, seeks a quantitative researcher to develop predictive models and AI tools that drive high-potential investment opportunities. You will contribute to multi-asset portfolio construction using advanced optimization techniques and time-series analyses to uncover actionable insights.

The role requires an advanced quantitative degree, a track record of research excellence, and a passion for transforming theory into practical investment

Competenze

• Advanced degree in a quantitative or technical discipline such as Physics, Computer Science, Mathematics, Statistics, Engineering, or related field.
• Track record of impactful research and ability to solve complex, real-world problems.
• Innovative mindset with a dedication to continuous learning and challenging conventional thinking.
• Strong AI modeling skills including time-series and cross-sectional analysis.
• Proficiency in coding, ideally in Python or Java, to build and maintain robust software solutions.
• Passion for financial markets and analyzing market drivers, price formation, and risk management.

Mansioni

• Develop predictive models using advanced data analysis techniques.
• Build and maintain multi-asset portfolios using large-scale optimization methods.
• Create AI algorithms and tools to enhance investment processes and efficiency.

Conoscenze

Predictive modeling

Time-series analysis

Cross-sectional analysis

Advanced data analysis

Python

Java

Problem solving

Learning mindset

AI modeling

Financial markets

Formazione

Advanced degree in a quantitative field

Strumenti

Python

Java

Descrizione del lavoro

Ahuora, a cutting-edge investment firm in the United States, seeks a quantitative researcher to develop predictive models and AI tools that drive high-potential investment opportunities. You will contribute to multi-asset portfolio construction using advanced optimization techniques and time-series analyses to uncover actionable insights.

The role requires an advanced quantitative degree, a track record of research excellence, and a passion for transforming theory into practical investment