Bayesian Data Scientist
Job Description
About Ledger Investing
Ledger Investing is a Y Combinator backed insure-tech startup that is transforming the way insurance risks are financed. Today, Ledger is an online marketplace connecting insurance risk to capital, focusing on securitization. Insurance risk originators are able to source capital more efficiently vs. the traditional value-chain. Capital providers gain access to an asset class that is highly diversified vs. most asset classes. Insurance securitization has quickly grown to be a $100 billion market but is limited in scope due to opacity and complexity. Ledger is expanding this market to $1 trillion by building a seamless data pipeline from the policyholder to the capital markets, enabling transparency, and bringing best-in-class analytics and real-time insights to the table. Our recent $75 million Series B round of investment funding has set us up for exponential growth. We are on our way to disrupting the industry by serving as an unparalleled, advantageous marketplace for virtually all types of insurance risks and capital, including traditional reinsurers, institutional investors, and accredited investors.
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:
Our data science practice is deeply Bayesian. We are invested in quantifying and disclosing every source of uncertainty in our modeling – our investors care about our level of confidence in our results as much as the top-line results themselves. The domain we work in is rife with small, noisy data
sets, and Bayesian hierarchical modeling techniques are typically quite beneficial. Many of the problems we are most interested in have received relatively little attention in the academic literature, and we have a robust agenda of potential model enhancements that will improve the state of the art in the industry and improve our company's bottom line.
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:
- Extensive knowledge of statistics, machine learning, and data science
- Demonstrated track record of applying and adapting Bayesian statistical methods to solve complex real-world problems.
- Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.
- Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
- Experience with Stan or another open-source tool for estimating Bayesian models via HMC; willingness to learn Stan.
- Ability to work independently and communicate ideas effectively.
The following attributes will help you stand out from the crowd:
- A track record of publications and/or presentations on Bayesian modeling topics.
- MS or PhD in statistics or a related field
- Familiarity with version control, especially Git/GitHub.
- Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.
- Competitive salary, bonus potential, and equity compensation
- Work from anywhere. We’re flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
- Uncapped paid time off
- Paid Holidays
- 401k
- Medical, dental, and vision insurance - multiple plans to choose from
- Company paid Life and AD&D insurance
- ClassPass - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
- Up to $5,000 paid by Ledger towards your dream desk setup! Customize what works for you.
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.
Date Posted
10/27/2022
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6
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