Deskripsi Pekerjaan
Quantitative Researcher – PhD / Postdoctoral Level
Are you a brilliant researcher looking to apply your skills to the world's most dynamic financial markets? My client, a leading global market-maker, is currently searching for exceptional Quantitative Researchers at the PhD and Postdoctoral level to join a high-impact team in Singapore.
This role is designed for individuals with deep quantitative expertise who are passionate about solving complex problems. You will be responsible for the entire research lifecycle, from hypothesis generation and data analysis to model deployment and live trading strategy optimization. You will work alongside top-tier technologists and traders in a collaborative, non-hierarchical environment.
Key responsibilities include:
- Conducting independent research to identify and exploit market inefficiencies and anomalies.
- Developing advanced statistical and machine learning models to predict short-term price movements.
- Analyzing large, high-frequency datasets to uncover robust trading signals.
- Optimizing existing algorithmic trading strategies for performance, capacity, and risk-adjusted returns.
- Collaborating with software engineers to prototype and implement research ideas into production systems.
- Presenting research findings to trading desks and senior management.
Qualifications required:
- PhD or Postdoc in a highly quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Engineering).
- Strong programming proficiency in Python (essential) and C++ (highly desirable).
- Deep understanding of probability theory, stochastic calculus, and linear algebra.
- Experience with Machine Learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and statistical modeling.
- Excellent communication skills and the ability to work independently on complex research agendas.
- Prior experience in finance is a plus but not required; we value intellectual curiosity and a track record of academic excellence.
This is a rare opportunity to join a top-tier proprietary trading firm in Singapore. The compensation package is highly competitive, featuring a substantial base salary and annual performance bonus.
Anson McCade is acting as an Employment Agency in relation to this vacancy.
Tanggung Jawab
- Conduct novel quantitative research to identify and exploit market inefficiencies and statistical arbitrage opportunities.
- Develop, test, and validate sophisticated predictive models and trading signals using advanced statistical and machine learning techniques.
- Perform rigorous data analysis on large volumes of financial and alternative market data to support research hypotheses.
- Collaborate with technologists and traders to implement research findings into robust, low-latency production trading systems.
- Contribute to the development of the firm’s research infrastructure, intellectual property, and proprietary algorithms.
- Present research findings, strategy performance, and recommendations to senior stakeholders and trading desks.
- Monitor and optimize the performance of live trading strategies, conducting post-trade analysis to improve alpha generation.
Kualifikasi
- PhD or Postdoctoral experience in a highly quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or Financial Engineering).
- Exceptional analytical and problem-solving skills with a deep understanding of probability theory, statistics, and linear algebra.
- Strong programming skills in Python are essential; proficiency in C++ or Java is highly desirable.
- Significant experience with statistical modeling, machine learning, or data mining techniques and associated frameworks (e.g., PyTorch, TensorFlow).
- Prior experience in quantitative research within finance is advantageous but not strictly necessary; open to exceptional transitioning academics.
- Excellent written and verbal communication skills, with the ability to clearly articulate complex ideas to a non-technical audience.
- Intellectual curiosity, a strong sense of ownership, and a desire to work in a collaborative, high-performance environment.