CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
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My client are a leading investment firm who deploy systematic, computer-driven trading strategies across multiple asset classes, including equities, futures, and foreign exchange. The focus of their effort is rigorous research into a wide range of market anomalies, fuelled cutting edge infrastructure and trading platform.
Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. My client is interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined them from similar backgrounds at Banks, Hedge Funds or Trading Firms . Others have joined from related fields in Technology, Media etc or directly from academia and have thrived with hands on guidance. The most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
MSc or PhD candidate in machine learning, computer science, statistics, or a related field.
Superb analytical and quantitative skills, along with a healthy streak of creativity.
Demonstrated ability to conduct independent research utilizing large data sets.
Passion for seeing research through from initial conception to eventual application.
Curiosity about financial markets.
Strong scientific programming in C++, Python, R or Matlab.
Empirical, detail-oriented mindset.
Sense of ownership of his/her work, working well both independently and within a small collaborative team.