Head of Digital Algorithms developing and overseeing algorithmic solutions for digital trading capabilities at Arch. Collaborating with stakeholders and leading a team of data scientists.
Responsibilities
Lead day-to-day activities to design new and enhance existing digital trading algorithms
Guide, support, mentor and develop the work of a growing team of data scientists who will be supporting the development of digital trading capabilities
Work closely with business partners to understand existing approaches to underwriting and pricing and translate these into appropriate digital capabilities
Design and oversee the monitoring and continuous improvement of algorithmic performance
Discover, explore and analyse internal and external datasets for the purpose of developing appropriate digital trading algorithms
Collaborate in cross-functional teams and share ideas to solve complex business problems
Build strong partnerships with peers across the organization to support project goals and execute on the priorities set by the Head of Digital
Help establish best practices and repeatable processes around digital algorithm development and maintenance
Provide thought leadership on new, innovative techniques, approaches and software
Requirements
Deep knowledge of a broad range of London Market lines of business and trading environment
Data manipulation and analytical skills in languages such as Python and SQL
Knowledge of visualization tools such as PowerBI or Sigma is a plus
Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential
Strong coding practices which support robust algorithmic development and deployment
Understanding of a range of pricing approaches as well as knowledge of advanced analytical tools
Experience in advanced analytics roles, a significant portion of which should be in the insurance industry
Experience working in an analytical role within a London Market and / or digital environment is an advantage
Hands-on experience developing and deploying pricing models and / or trading algorithms in the London Market
Experience working closely with non-technical stakeholders, such as underwriting and IT
Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics
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