Anti-Fraud Analyst
- Role
- Data Engineering
- Employment
- Full-time
- Company size
- Mid-size
Open to KZ only. Set where you work from to check your eligibility.
No BS summary
Analytics and fraud-detection specialist for motorcycle lending underwriting. Must be strong in SQL and experienced building reports, dashboards, and data pipelines. Fully remote with core hours in Manila time.
Core skills
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and 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 analytics and fraud-detection layer behind our motorcycle lending portfolio, turning underwriting data into the controls and insights that keep approvals fast and safe.
What you'll do:
- You'll be the dedicated analytics and fraud-detection partner for Underwriting on our motorcycle lending portfolio.
- You'll work directly with Product, Risk, Data, Technology, and Operations, building controls and pipelines from scratch rather than maintaining an existing system.
- The underwriting decisions and fraud controls you build directly shape how fast — and how safely — we can grow motorcycle lending.
What you'll own:
- Own reporting and dashboards for underwriting performance — approval rates, turnaround times, productivity, and other core KPIs.
- Build and maintain the data pipelines and analytical datasets that power underwriting monitoring and reporting.
- Run deep-dive analysis on underwriting processes, customer segments, and approval/decline patterns to explain what's driving portfolio performance.
- Find bottlenecks and inefficiencies in underwriting workflows, and flag where automation would help.
- Build automated monitoring and early-warning indicators for shifts in underwriting performance, and investigate data quality discrepancies as they surface.
- Define metrics, reporting requirements, and analytical controls when Product and Underwriting launch new products or process changes.
What makes you a strong fit:
- SQL — complex joins, CTEs, window functions, aggregations, and comfort working with large datasets.
- Proven analytical and problem-solving skills, backed by real examples.
- Experience building reports, dashboards, analytical datasets, and data pipelines.
- An ownership mindset — you move things forward without waiting to be told what's next.
What we offer:
Ownership and flexibility
- Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8)
- Company-provided tools and equipment
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- High-performing teams can earn a dedicated beach house week in Southeast Asia
What you'll do
- Own reporting and dashboards for underwriting performance — approval rates, turnaround times, productivity, and other core KPIs.
- Build and maintain the data pipelines and analytical datasets that power underwriting monitoring and reporting.
- Run deep-dive analysis on underwriting processes, customer segments, and approval/decline patterns to explain what's driving portfolio performance.
- Find bottlenecks and inefficiencies in underwriting workflows, and flag where automation would help.
- Build automated monitoring and early-warning indicators for shifts in underwriting performance, and investigate data quality discrepancies as they surface.
What they require
- SQL — complex joins, CTEs, window functions, aggregations, and comfort working with large datasets.
- Proven analytical and problem-solving skills, backed by real examples.
- Experience building reports, dashboards, analytical datasets, and data pipelines.
- An ownership mindset — you move things forward without waiting to be told what's next.
Benefits
- Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8)
- Company-provided tools and equipment
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- 22 vacation days, Philippine public holidays, and 15 sick days
- Company-sponsored trips to Manila to meet and work with your team in person
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.