Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing. The company aims to transform industries that are considered too complex to innovate by building its own mortgage servicing business to deeply understand the complexity required for software that works in regulated industries. The goal is to improve operational visibility, support externally-facing reports to clients, create internally-facing dashboards, and contribute to scalable solutions that meet Valon’s data needs.
Requirements
- Strong proficiency in SQL (Python skills a plus).
- Proficiency in Google Sheets and/or Microsoft Excel.
- Experience with data visualization tools (Hex, Looker, or equivalent).
Responsibilities
- Write SQL queries, build dashboards, and conduct ad hoc analysis to help operational leaders understand business performance, make effective decisions, and identify root causes of results.
- Assist with third-party audit, exam, and regulatory reporting by supporting timelines, contributing to data QA, and helping prepare clear outputs for partners and regulators.
- Support the maintenance and improvement of Valon’s SLA reporting process.
- Collaborate with other data analysts and data engineers to recommend and implement improvements to data models.
Other
- 4–7 years of full-time work experience in data analytics or business intelligence, ideally at a mortgage servicer, financial institution, or other regulated industry.
- Demonstrated problem-solving ability and a willingness to learn quickly.
- Experience working collaboratively with cross-functional data team members.
- Bachelor’s Degree in Computer Science, Data Analytics, or a related field.
- competitive salary and 401k plan
