Data Scientist at Lendtable

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Data ScienceIndustries

Requirements

Candidates should have experience using Python and SQL, strong proficiency with the PyData stack, and knowledge of machine learning techniques. They should be a confident communicator and able to contribute effectively within a team environment, demonstrating self-drivenness and a willingness to lead on projects and new initiatives. Prior experience with credit risk modelling and use of LLMs for document question answering is considered a nice to have.

Responsibilities

The Data Scientist at Lendtable will learn the domain of products that Lendable serves, rigorously search for the best models to enhance underwriting quality, clearly communicate results to stakeholders through verbal and written communication, and share ideas with the wider team while contributing to the body of knowledge. They will also take ownership across a broad remit, make decisions that drive a material impact on the direction and success of Lendable, and work in small teams to build the best technology in-house using data science, machine learning, and AI.

Skills

Python

SQL

Machine Learning

PyData

Communication

Teamwork

Risk Modeling

Lendtable

Provides credit lines for retirement contributions

About Lendtable

Lendtable helps employees increase their long-term wealth by providing lines of credit for retirement and employee stock purchase plans (ESPP). This service allows employees to contribute to their 401(k) plans or ESPPs without reducing their take-home pay, enabling them to take full advantage of employer matching contributions. The application process is straightforward, and Lendtable earns revenue through fees on the credit extended. The company's goal is to maximize retirement savings for employees of large corporations while keeping their monthly budgets intact.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$22.5MTotal Funding

SERIES_ACompany Stage

Fintech, Financial ServicesIndustries

11-50Employees