Job description: A person with strong technical skills who can understand complex financial analyses in Excel and partner effectively with the business to write code in Python that will be used for data and report automation processes.

• Ideally 3+ years experience doing data-heavy work in a financial or economic-adjacent field (or equivalent)
• Can understand a complex Excel financial model, breaking it down into manageable components
• Can partner closely with the business to specify and understand business requirements, ask clarifying questions, and write down the goals and technical specifications in documentation
• Prior experience writing complex logic in Python code to transform time series data
• Can write auditable, well-documented Python code that replicates the logic in an existing Excel model
• Can write auditable, well-documented Python code for new logic that the business needs to transform data
• Writes clear and concise code that is readable and replicable
• Can perform time series analysis to identify patterns, trends, and correlations in financial data, which can facilitate informed investment decision making
• Someone who can support investment portfolio reporting and quantitative analyses for alternative asset manager.
• Analyze time series data to identify any trends or errors/exceptions, using quantitative techniques, machine learning models
• Assist with development of robust risk management framework and analytics across portfolios
• Has commanding grasp on Excel. Experienced in AWS/Amazon SageMaker, SQL/Snowflake
• Proficient in using Python libraries like Pandas, Numpy, Matplotlib. Experienced in framework like Tensorflow
• Experienced in web scrapping, using libraries like Selenium, Request. Basic knowledge of Tableau / Sigma Computing
• Has experience of risk analytics platforms (e.g., FactSet; Risk Metrics; Bloomberg)
• Understanding of different alternative asset classes and instruments, with strong knowledge of fixed income securities and their characteristics in particular