Data Scientist
1 month ago
Position at Tokio Marine HCC
Job Title: Data Scientist
Location: City of London
Position Type: Permanent, 35 hours per week
Hybrid: 3 days in the office, 2 days working from home
Why Tokio Marine HCC?
Standing still is not an option in the current world of Insurance. TMHCC are one of the world's leading Specialty Insurers. With deep expertise in our chosen lines of business, our unparalleled track record and a solid balance sheet, TMHCC evaluates and manages risk like no one else in the industry. Looking beyond profit, empowering our people and delivering on our commitments are at the core of our customer values, and so is a desire to grow and provide creative and innovative solutions to our clients.
The UWP Innovation Team has been established to empower underwriters and management by providing richer information at the point of decision making. We are working toward this by:
- Building out a cross-functional team sitting on the underwriting floor
- Developing the team's understanding of insurance
- Creating tools that delight underwriters
About the Opportunity
The London Market Underwriting & Reinsurance Performance Innovation team consists of Software Engineers and Data Scientists sitting alongside Actuaries and Underwriters to define and deliver the future of Property & Casualty underwriting at TMHCC International.
As a Data Scientist with a particular interest in Geospatial datasets, you will research and build models to transform our market-leading Property & Casualty underwriting business, working in an Agile team with Software Engineers to deliver these models into the hands of our underwriters.
Core Responsibilities
- Develop interactive risk models combining underwriting judgment with quantitative parameterisation
- Perform exploratory analysis, build models & develop interactive dashboards to give insight into data & models
- Work with software engineering colleagues to embed models & tools into production-grade systems, including appropriate regulatory documentation
- Develop portfolio-level risk metrics aggregated from individual risk models
- Continually improve ways of working, responding to change and maintaining focus on the underwriting experience
- Optimise the flow of value to the business
Ways of working and behaviours:
- Comfortable working alongside underwriters to develop an internal view of risk
- Inquisitive, analytical mind-set
- Able to quickly learn new technologies, platforms and languages
- Seek out ways to measure the impact your solutions have on the business and use them to inform future work
- Take ownership of models from initial exploration to production deployment & ongoing monitoring
Skills and Experience Specification
Essential:
- Relevant qualifications and experience i.e. Degree in a quantitative or mathematical field or 3+ years demonstrable experience building insurance risk models
- Proficiency with the Python data science stack (NumPy, Pandas, SciPy, Jupyter etc.)
- Highly numerate with the ability to manipulate large datasets
- Strong understanding of data pipeline tooling eg SQL, dbt, Snowflake, AWS Glue, Airflow, AWS Step Functions, AWS Lambda
Desirable:
- Ability to develop analytical dashboards in an appropriate tool (Dash / Shiny / Streamlit)
- Experience with the R data science ecosystem (RStudio, tidyverse, ggplot)
- Understanding of Geospatial analysis and RMS data structures
- Experience with visualisation and statistical libraries such as Plotly, D3, Datashader
- Knowledge of reproducible research methods & automated report generation tools such as Quarto, R Markdown, Pandoc
- An appreciation of the core philosophy behind agile methodologies
- Previous experience in London Market pricing or enterprise risk modelling, actuarial concepts
What We Offer
The Tokio Marine HCC Group of Companies offers a competitive salary and employee benefit package. We are a successful, dynamic organization experiencing rapid growth and are seeking energetic and confident individuals to join our team of professionals.
The Tokio Marine HCC Group of companies is an equal opportunity employer. Please visit www.tmhcc.com for more information about our companies.
#LI-BU1 #LI-Hybrid
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