Financial Risk, Git, Github, NumPy, Operations Analytics, Python Programming, Quantitative models, SciPy, Simulation software, Statistical modeling
At Ledger Investing, we are building a market for a new class of financial assets that will have transformative impacts on casualty insurance, reinsurance, and institutional investors alike. These financial assets are fairly complex and involve expertise across multiple domains.
This posting is for a unique position within the Ledger organization. You will be a member of the Data Science team, as such, you will have regular opportunities to interact with other data scientists and contribute to analytical work at the company. However, the majority of your time will be spent working directly with the company’s CEO and Chief Data Scientist on special projects.
Many of the special projects will focus on demystifying what we do for the sake of both insurers and investors. We are particularly interested in building software tools that help clearly explain the nature of insurance risk, insurance market dynamics, the financial structure of insurance-linked securities, and other such topics. These tools will educate and empower the insurance and investing communities to better understand these novel assets.
About You:
Successful candidates will have all of the following attributes:
The following attributes will help candidates stand out from the crowd:
Your Benefits:
Ledger Investing is a marketplace for casualty insurance-linked securities. Asset managers, pension funds, hedge funds, family offices and other institutions can invest in uncorrelated assets that offer incremental returns compared with traditional high-yield fixed-income securities.