Pioneering Quantitative Strategies in Indian Markets

Leveraging advanced mathematics, data science, and cutting-edge technology to unlock market opportunities.

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About Alaka Research

Alaka Research is a proprietary quantitative investment firm operating at the intersection of finance, technology, and scientific research. Based in India, we specialize in developing and deploying sophisticated trading strategies across various asset classes. Our team comprises brilliant minds from diverse backgrounds, united by a passion for solving complex problems and a commitment to intellectual rigor.

We foster a culture of innovation, collaboration, and continuous learning, believing that these are the cornerstones of success in the dynamic world of quantitative finance.

Alaka Research Team

Our Approach

Data-Driven Research

Our strategies are born from meticulous research and rigorous analysis of vast datasets. We employ advanced statistical modeling and machine learning techniques to uncover predictive signals.

Technological Excellence

We build and maintain a robust, low-latency trading infrastructure. Our proprietary technology stack enables efficient execution and risk management.

Collaborative Culture

We believe in the power of teamwork. Our flat organizational structure encourages open discussion and the sharing of ideas across all levels of the firm.

Investment Philosophy

Investment Philosophy Visual

Our investment philosophy is grounded in the scientific method. We formulate hypotheses, test them rigorously with historical and live data, and continuously refine our models. We seek to identify persistent market inefficiencies and develop strategies that offer attractive risk-adjusted returns.

Integrity, discipline, and a relentless pursuit of knowledge are central to our approach. We are committed to ethical practices and prudent risk management in all our endeavors.

Careers at Alaka Research

We are looking for exceptional individuals who are passionate about tackling complex challenges in the world of finance. Join a team of talented researchers, engineers, and data scientists dedicated to pushing the boundaries of quantitative trading.

About the Role

As a Quantitative Developer, you will be at the heart of our trading operations, responsible for designing, developing, and optimizing the high-performance software and infrastructure that power our trading strategies. You will work closely with researchers to implement complex algorithms and build robust, low-latency systems.

Responsibilities

  • Develop and maintain our ultra-low-latency trading systems.
  • Implement and optimize trading models and algorithms in Go and Python.
  • Build high-performance data processing and analysis pipelines.
  • Collaborate with quantitative researchers to translate strategies into production-ready code.
  • Contribute to all phases of the software development lifecycle, from design to deployment.

Qualifications

  • Degree in Computer Science, Engineering, or a related field.
  • Exceptional programming skills in Go and/or Python.
  • Strong understanding of data structures, algorithms, and software design principles.
  • Experience with performance optimization and multi-threading is a plus.
  • Interest in financial markets (no prior experience required).
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About the Role

As a Quantitative Researcher, you will apply the scientific method to financial markets. You will be responsible for developing and testing innovative trading strategies by analyzing vast datasets to find predictive signals. Your work will directly impact the firm's bottom line.

Responsibilities

  • Analyze large financial datasets to identify patterns and develop trading hypotheses.
  • Create and backtest quantitative models for alpha generation.
  • Apply advanced statistical and machine learning techniques to financial data.
  • Collaborate with developers to deploy and monitor trading strategies.
  • Stay current with academic research and industry trends.

Qualifications

  • Solid foundation in a quantitative discipline (e.g., Statistics, Mathematics, Physics, Computer Science) with demonstrated expertise in statistical analysis, machine learning, and data mining.
  • Proficiency in Python (pandas, numpy, scikit-learn) or R.
  • Creative problem-solver with a deep intellectual curiosity.
  • Experience in quantitative finance is beneficial but not required.
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Contact Us

Alaka Research Capital

Bengaluru, India

For career inquiries, please email: saurav@alakaresearch.com