Research Assistant / Researcher, 18 AL

The Laboratory for AI-Powered Financial Technologies Limited (AIFT) aims to be a leading research center on the financial technologies and services. We are seeking a passionate and talented Research Assistant or Researcher to join our team focused on advanced financial modeling and options analysis. You will play a key role in reviewing and enhancing Python code that calculates conditional expected returns and market crash probabilities using option-implied probability density functions and the Fréchet-Hoeffding bounds. Key Accountabilities Review and validate existing Python code related to options pricing and financial computations. Improve algorithms for calculating risk-neutral probabilities and extracting probability density functions from option prices. Assist with data handling and analysis of options and financial datasets. Undertake ad-hoc tasks as assigned from time to time. Qualification / Knowledge & Experience Master degree holder with a strong academic background in Finance, Financial Engineering, Mathematics, or related fields. Proficient in Python programming. Strong understanding of risk-neutral probability theory and experience in extracting risk-neutral probability density functions from option prices. Experience with numerical methods and data analysis. Excellent problem-solving and reasoning skills. Strong work ethic and ability to contribute to team success. Good command of English, both oral and written. Salary offered will be highly competitive, commensurate with qualifications and experience. Fringe benefits will be provided. Please state your expected salary and send your resume to us All information will be treated in strict CONFIDENTIAL and will be only used for this recruitment.