About the Team:

Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.

About the Position:

The quality of our analyses is fundamentally dependent on the quality of the underlying data. We regularly receive policy and claims data from a wide variety of sources and in a wide variety of formats. In order to provide accurate and up-to-date projections of portfolio performance to investors, we need accurate and up-to-date data on the insurance programs in the portfolio. We have tools in place to automate the process of loading of updated data in a known format, but we still need keen human eyes whenever we get raw data in a new file format.

Our data analysis team ensures that we correctly understand the semantics of each new source file format, and that new data sources are correctly uploaded to our risk data warehouse. Source data is often ambiguous, incomplete or inconsistent, and the team works directly with risk originators to identify and fix these issues. The team helps other teams within the company construct business definitions and build queries for metrics of interest that can be derived from policy and claims data. Finally, the team works closely with engineers to improve the architecture and performance of the data warehouse.

If these problems sound fun and interesting, we'd love to have you on our team.

About You:

Successful candidates will have all of the following attributes:

• Familiarity with core concepts in statistics and data science.
• Professional, hands-on experience manipulating policy- and claim-level data from property and/or casualty insurers.
• Strong understanding of the core business concepts in property and casualty insurance.
• Demonstrated ability to identify, isolate, and correct issues in messy data.
• Ability to work with and integrate data sources in a wide variety of formats (CSV, XLSX, databases, flat files, JSON, etc) and perform checks for integrity, consistency, and accuracy against known sources of truth.
• Extensive experience with relational databases, and strong ability to write complex queries in SQL.
• Experience with R, Python, Julia or other open-source languages with strong numerical computing ecosystems; willingness to learn Python.
• Ability to work independently and communicate ideas effectively.

The following attributes will help you stand out from the crowd:

• A track record of building or contributing to open-source projects.
• Familiarity with version control, especially Git/GitHub.

Benefits:

• Generous salary and equity compensation
• Work from anywhere (this position is full-time remote, as long as your working hours can overlap with US Eastern time for a couple hours per day)
• Unlimited paid vacation time
• 401k
• Medical, dental, and vision insurance
• Gym membership
• $5,000 paid by Ledger towards your dream desk setup!

Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.