A leading insurance firm is looking to hire an Assistant Quantitative Developer to join their Advanced Analytics team. You will assist the team in data management and provide insights into the firms modelled risk portfolio.

Key Responsibilities:

• Help support the Actuarial team with technical pricing in Python.
• Work with the Analytics, MI and IT teams to seek platform efficiencies that may help to address gaps in the Analytics data.
• Assist with optimization and analysis - apply quantitative techniques and models, coupled with specific market knowledge, to construct optimal structures and modelled portfolios
• Use SQL Server for extracting, importing, and updating submissions and risk modelling data.
• Perform reconciliations to help identify any data anomalies

Key Requirements:

• Bachelor's degree in quantitative discipline e.g. Science/Maths/Computer Science.
• A good understanding of Python programming essential and ability to use machine learning tools and statistical techniques to produce solutions to problems preferable.
• Adept in data extraction and manipulation using T-SQL.
• Some understanding of principles of implementing APIs via RE
• Familiarity with Power BI/Reporting Services would be advantageous.
• Strong knowledge of Microsoft Excel (Access and VBA are also an advantage).