Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.

In three years, we've grown to 7M+ app downloads, 2M+ monthly active users, 7000+ partner stores, and 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 own the data layer for Salmon's Collections function - building the models, reports, and datasets that the team depends on to make decisions and track performance.

What you'll do

Work at the intersection of Collections, Risk, and DWH - building and maintaining the analytical infrastructure that connects raw data to operational decisions.
Develop and support regular reporting and dashboards covering key Collections metrics; keep them accurate, documented, and useful as the business evolves.
Monitor data quality across sources and calculations, investigate discrepancies independently, and resolve issues before they affect decisions downstream.

What you'll own

Build and maintain data models and analytical datasets that support Collections operations and reporting.
Develop new reports and dashboards; support ad-hoc analysis requests from Collections and related functions.
Investigate data quality issues — identify root causes, not just symptoms — and document findings clearly.
Document calculation logic, data sources, datasets, and reports so the next person doesn't have to reverse-engineer your work.

What makes you a strong fit

1–2+ years of experience in data, product, risk, or operations analytics.
Strong SQL skills and hands-on experience with large datasets.
Experience building and maintaining data models and regular reporting.
Solid understanding of data quality principles; able to investigate and identify root causes of discrepancies independently.
Willingness to relocate to Manila — a strong advantage.

Nice to have

Experience with Databricks or similar tools.
Experience with dbt or similar data transformation frameworks.
Experience building dashboards in Tableau or similar BI tools.
Background working with financial or lending data, particularly in Collections or Risk.

What we offer

Hybrid-first environment. Core hours 12:00–19:00 Manila time (UTC+8).
22 vacation days + Philippine public holidays + 15 sick days.
Medical insurance for you and your family, starting day one.
Access to an internal psychological support specialist.
Office in Bonifacio Global City (BGC), Manila.
Relocation support: flights and two weeks of accommodation for you, your family, and your pets. Visa, paperwork, logistics — handled.
USD $2,500 a year to fly home.
Regular offsites, sports, and team events across Southeast Asia.
Top-performing teams earn a dedicated beach house week around SEA.

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