Quantitative Researcher

Ahuora

San Jose (CA)

In loco

USD 200.000 - 300.000

Tempo pieno

14 giorni+

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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 is a cutting‑edge investment firm that harnesses AI and data‑driven insights to uncover investment opportunities with high potential for sustainable returns. Our dynamic, collaborative environment offers the chance to work alongside talented researchers, technologists, and portfolio managers who share a passion for shaping the future of investing.

Key Responsibilities

  • Developing predictive models using sophisticated data analysis techniques
  • Building and maintaining multi‑asset portfolios using large‑scale optimization methods
  • Creating advanced AI algorithms and tools to enhance investment processes and operational efficiency

We welcome candidates with a proven record of academic and professional excellence, a passion for pushing the boundaries of quantitative research, and a desire to transform cutting‑edge theories into actionable investment strategies.

Required Skills and Qualifications

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

Compensation and Benefits

  • Base salary range: $200,000 – $300,000, subject to applicable laws and regulations
  • Performance‑based incentives: Participation in a discretionary incentive compensation program
  • Comprehensive benefits package: Including medical and life insurance, retirement plans, and tax‑free savings options
  • Healthcare and wellness programs: Access to a variety of resources designed to support physical and mental well‑being

Join ahuora and help shape the future of quantitative investing by developing transformative solutions for the global financial markets.

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