---
title: 'ML Engineer at Salmon Group'
canonical: 'https://feeny.ai/job/ml-engineer-salmon-group-metro-manila-nj212jb24nyh'
type: 'job'
last_seen: '2026-09-22'
---

# ML Engineer at Salmon Group

- **Company:** [Salmon Group](https://feeny.ai/companies/salmon-group)
- **Location:** Metro Manila, Philippines
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-25
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/salmon-group/ee734e04-e780-44af-82b3-196cf78b7036/application

**Skills:** Python, SQL, Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, XGBoost, LightGBM, CatBoost, Version control, AWS

> Join the AI and Data team to build robust ML solutions for credit scoring, antifraud, and sales. You will own the end-to-end ML lifecycle, from feature engineering to production deployment, collaborating with cross-functional teams to drive business impact.

## Job description

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 ML models across credit scoring, collection, and antifraud, turning data into systems that directly shape how Salmon lends and collects at scale. What you'll do:

- You'll build and ship ML models across credit scoring, collection, antifraud, and sales — high-stakes, high-visibility work from day one.
- You'll work directly with Collection, Product, and other cross-functional teams to find where a better model moves the business.
- You'll take models from idea to production, then keep monitoring and improving them as real data comes in.

What you'll own:

- Own the end-to-end lifecycle of ML models — EDA, feature generation, hypothesis testing, production deployment, and monitoring.
- Partner with Collection and Product to identify where a new or improved model would have the most leverage.
- Evaluate model performance against business impact, and iterate based on what you find.
- Explore and integrate new data sources, internal and external, to surface additional predictive signals.
- Build models that are scalable, observable, and maintainable in production systems.

What makes you a strong fit:

- 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments.
- Solid foundation in classical ML techniques, fluent in Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, and gradient boosting libraries (XGBoost, LightGBM, CatBoost).
- Strong Python and SQL, with experience using version control.
- A strong sense of ownership and accountability.

What we offer: Ownership and flexibility

- Hybrid-first work environment
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene

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
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila

Relocation and family support

- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- USD 2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18

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
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia

## About Salmon Group

## Company Overview
- **One-liner**: Salmon Group is a Philippine financial technology company that provides responsible consumer lending, digital banking, and credit products through its licensed rural bank and financing companies.
- **Entity Type**: Private (Series B, $179M total funding)
- **Headquarters**: Taguig City, Metro Manila, Philippines
- **Founded**: 2022 (corporate group formed; underlying Rural Bank of Sta. Rosa traces to 1963)
- **Founders**: Derrick Low, Pavel Fedorov, George Chesakov

## Core Business
- **Primary industry**: Financial services / Fintech / Digital banking
- **Target customers**: B2C – Filipino consumers seeking accessible credit, installment loans, and banking services; also B2B partnerships with merchants.
- **Mission or purpose**: “To build a future where every Filipino has access to transparent, fast, and flexible financial services that have a human touch.”

## Products & Services
- **Salmon Credit**: Revolving credit line up to PHP 100,000, accessible via a prepaid Mastercard. Can be used for shopping, emergencies, and everyday expenses.
- **Salmon Access Card**: Prepaid card linked to Salmon Credit, accepted worldwide via Mastercard.
- **In-store Installment Loans**: Point-of-sale financing for gadgets, appliances, clothing, and other items at partner merchants (e.g., SM Store, Vans).
- **Cash Loans**: Direct consumer loans offered through the Salmon app and offline channels.
- **Auto-Debit Payments**: Seamless recurring payment service for loan repayments.
- **Rural Bank Services**: Traditional deposit accounts and lending through Rural Bank of Sta. Rosa (Laguna), with deposits up 439% since acquisition.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding raised – $179M (last round: $60M, ~May 2026)
- **Notable Investors/Partners**: International Finance Corporation (IFC, World Bank Group), ADQ/Lunate (sovereign wealth fund of Abu Dhabi), Bangko Sentral ng Pilipinas (BSP) as regulator, Mastercard as card network, ECPay for payment channels, AllBank for QR Ph payments.
- **Growth Signals**: Deposits at Rural Bank of Sta. Rosa grew 439% since acquisition; launched multiple new products in 2023-2024; expanded merchant network (SM Store, Vans); became a licensed bank in January 2024; received ₱4.4B capital injection from new shareholders.

## Competitive Advantages
- **Licensed bank status**: Salmon Group controls a BSP-regulated rural bank, giving it a regulatory moat and trust advantage over unlicensed lenders.
- **Strong investor backing**: Backed by IFC and a sovereign wealth fund, providing capital and credibility.
- **Omnichannel distribution**: Combines digital app, physical merchant partnerships, and a traditional bank branch network.
- **Customer protection focus**: Adheres to BSP, SEC, IFC, and SPTF/Cerise Customer Protection Pathways frameworks.

## Strategic Focus
- Expand product suite (credit lines, cards, auto-debit) and deepen merchant partnerships.
- Drive financial inclusion in the Philippines by reaching underserved consumers.
- Grow deposit base and lending portfolio through the rural bank subsidiary.
- Continue building AI and data analytics capabilities (e.g., Head of AI Banking appointed).

## Why Work Here
- **Culture**: Emphasizes “dependability,” innovation, and a human touch. Employees describe an agile, open environment where Day One employees shape the company.
- **Work model**: Mostly office-based at the Taguig City headquarters (Four/NEO Building, Bonifacio Global City). Some field roles (collections, housekeeping) are site-specific.
- **Notable perks**: Competitive salaries (e.g., PHP 30k-40k/month for junior roles; PHP 15k-25k for field roles). Popular roles include Credit Investigator (PHP 28k/month) and Collection Agent (PHP 16k/month).
- **Engineering culture**: Strong focus on AI, data analytics, and technology innovation; the CTO and SVP of AI and Data are part of senior management.

## Sources
1. [salmon.group](https://salmon.group/) – Company overview, leadership, press releases
2. [salmon.ph](https://salmon.ph/our-story) – Company story, products, values
3. [cbinsights.com](https://www.cbinsights.com/company/salmon) – Funding, stage, headquarters, total raised
4. [ph.indeed.com](https://ph.indeed.com/cmp/Salmon-Group-Ltd-1) – Job listings, salary estimates, industry
5. [ge.linkedin.com](https://ge.linkedin.com/company/salmonphilippines) – Company LinkedIn page (employee insights)

## Other roles at Salmon Group

- [Senior People Operations Specialist](https://feeny.ai/job/senior-people-operations-specialist-salmon-group-kazakhstan-4fsydfgt0sbq) — Kazakhstan
- [Frontend Engineer (React / Next.js)](https://feeny.ai/job/frontend-engineer-react-next-js-salmon-group-kazakhstan-n575dt2q3pfw) — Kazakhstan
- [Android Developer](https://feeny.ai/job/android-developer-salmon-group-georgia-vgzkah1nhqxr) — Georgia
- [Credit Risk Manager](https://feeny.ai/job/credit-risk-manager-salmon-group-taguig-bxg1ck8d19jg) — Taguig, Philippines
- [Systems Analyst (Cloud Infrastructure)](https://feeny.ai/job/systems-analyst-cloud-infrastructure-salmon-group-kazakhstan-6aq7x30ejf0r) — Kazakhstan
- [System Analyst (Payment Gate)](https://feeny.ai/job/system-analyst-payment-gate-salmon-group-georgia-hjg0bd9hqwpy) — Georgia
- [GRC Lead](https://feeny.ai/job/grc-lead-salmon-group-serbia-ctmdvaqxg34y) — Serbia
- [Corporate Development Officer](https://feeny.ai/job/corporate-development-officer-salmon-group-philippines-xwwntvqg0trj) — Philippines
- [Senior Transaction Investigation Officer](https://feeny.ai/job/senior-transaction-investigation-officer-salmon-group-mandaluyong-tysbhy99dgm9) — Mandaluyong, Philippines
- [Mail Management Officer](https://feeny.ai/job/mail-management-officer-salmon-group-mandaluyong-k2rv74r4rv4s) — Mandaluyong, Philippines