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AI Summary
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
7M+ app downloads. 2M+ monthly active users. 7000+ partner stores. US$350M+ raised from top-tier investors.
Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch.
If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role
You'll build the analytical foundation for client data in Salmon's Origination domain, keeping every customer record accurate, complete, and compliant as the platform grows.
What you'll do
Work at the intersection of product, engineering, operations, and compliance — where client data quality directly affects onboarding, regulatory reporting, and trust in the platform
Trace how client information moves between the mobile app and back-office systems, and where it breaks along the way
Turn operational and regulatory requirements into scalable data quality frameworks, not one-off reports
What you'll own
Build and maintain dashboards tracking freshness, completeness, validity, and consistency of client data
Write SQL queries to investigate data issues, produce reports, and support ad hoc analytical requests
Map regulatory requirements to specific data fields and monitor compliance through ongoing analytics
Set up and maintain alerts for data quality degradation and outdated client records
Analyze data flows between the mobile app and back-office systems to identify gaps and inconsistencies
Partner with product, engineering, operations, and compliance teams on data-related decisions
What makes you a strong fit
1+ years of experience in data analytics
Strong SQL skills — you can write, debug, and optimize queries independently
Structured thinking and strong attention to detail
Able to communicate findings clearly to non-technical stakeholders
Bonus: experience with BI tools (Tableau, Metabase, or similar), operational or client data, or building data quality frameworks
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