Remote Jobs at dv01

Candidates should have 3+ years of professional experience writing production-ready code in Python, DBT, Scala, or Java, with high proficiency in SQL and the ability to write efficient code considering resource and performance constraints. A minimum of 2 years of professional experience working directly with data pipelines, ideally with exposure to loan datasets, is required. Familiarity with relational data concepts, big data tools, and cloud-native technologies like Google Cloud Platform (BigQ…

Candidates should have 1-2 years of QA experience with a solid understanding of various testing methods, including black box, exploratory, and boundary testing. Familiarity with front-end and back-end systems, APIs, and SQL databases is required. Strong written and verbal communication skills are essential for detailed problem description and stakeholder communication.

Candidates must be focused, detail-oriented, and able to multitask, with comfort in data analysis, validation, and manipulation. Mastery of Excel and SQL is required, and experience with Python, R, or dbt is a plus. A solid foundation in finance, with a hunger to learn more, and practical familiarity with warehouse financing expertise, including eligibility criteria and excess concentrations, are essential.

Candidates should have 5+ years of experience working with financial data, including a deep understanding of loan-level originations and servicing data. Proficiency in SQL, R, or Python for analyzing large datasets is required. Experience with securitizations and/or multiple asset classes is preferred.