Jobs at Earnest

Positions 363,692

Earnest is a fintech pioneer that blends data science with customer‑centric lending, offering student‑loan refinancing, personal loans, and mortgages. The company has built a reputation for transparent pricing, algorithm‑based risk assessment, and a culture that rewards innovation.

The hiring mix spans software engineering, data science, product, design, risk management, compliance, marketing, and finance. Candidates can expect a collaborative, fast‑paced environment where code reviews, cross‑functional demos, and regular pair‑programming sessions shape product roadmaps.

Using Job Transparency’s Earnest listings gives you instant access to real salary figures, employee sentiment ratings, and recent interview experiences—data that helps you negotiate confidently and gauge whether the role aligns with your career goals.

Data Scientist

Company: Earnest

Location: USA

Posted Sep 04, 2023

Earnest is a company dedicated to making higher education accessible and affordable. They offer private student loans, student loan refinancing, and scholarships. The company culture values drivers, humility, and a growth mindset. Earnest is seeking a Data Scientist II to work on projects involving credit risk modeling, causal inferencing, and NLP tasks. The ideal candidate should have 2+ years of experience in R/Python, SQL, and model development. Earnest offers competitive benefits including health benefits, work-from-home flexibility, and a tuition reimbursement program.

Lead Data Engineer

Company: Earnest

Location: USA

Posted Aug 04, 2023

Requirements: Bachelor's degree in Computer Science, Software Engineering, or a closely related field, plus 5 years of software development experience. These 5 years of experience must include experience with each of the following: (1) 3 years of SQL and data transformation experience; (2) 3 years of programming language experience, including python; (3) 2 years of Snowflake experience; (4) 2 years of cloud services experience, including AWS; and (5) 1 year of experience using data tools, including Airflow or DBT. Build ML platform to support faster model development, training, experimentation, and production deployment by using technologies like Sagemaker, Kubeflow, AWS, Ansible, Terraform. Deploy Kubeflow, Sagemaker pipelines for automated model training, experimentation and serving. Use ansible, terraform, Jenkins and other CI/CD tools to automate tasks and cloud service deployments. Manage Snowflake data warehouse that includes access management, usage monitoring, cost optimizations and data integrations. Interested candidates must apply online at www.earnest.com/careers [earnest.com]. Set up technical direction by designing system architecture, proposing technologies, planning and leading projects in roadmap to solve technical and business problems. This notice is subject to Earnest LLC's employee referral program. Build data models using DBT and SQL for data transformations to satisfy business requirements.

Frequently Asked Questions

What’s it like to work at Earnest?
<p>Earnest emphasizes data‑driven decision making, flat hierarchies, and a flexible work model. Employees routinely collaborate across product, engineering, and risk teams, and the company hosts hackathons, design sprints, and quarterly town halls to keep everyone aligned.</p>
What types of positions are available at Earnest?
<p>Open roles cover backend and frontend engineering, machine‑learning research, data engineering, product management, UX design, risk analytics, compliance, marketing, and finance. Each position requires strong analytical skills and a passion for building financial products that serve underserved borrowers.</p>
How can I stand out as an applicant for Earnest?
<p>Demonstrate technical depth by showcasing open‑source contributions or personal projects that solve real‑world lending problems. Highlight experience with data pipelines, cloud infrastructure, or algorithmic risk modeling. Also, share metrics from past work—such as reducing loan approval time or improving user engagement—to illustrate impact.</p>

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