Company: Salmon

Location: Manila, Philippines

Remote work is possible, preferred time zones GMT+5 to GMT+10

Hi 👋 we’re Salmon

In today's world, traditional banking practices and conventional lenders have failed to keep pace with innovation. People deserve better financial services. At Salmon, we recognized this gap and decided to shake things up.

Led by a dynamic team of financial professionals and entrepreneurs, and backed by world-class investors, Salmon is on a mission to revolutionize financial services. We’ve built a business capable of raising over $60MM from the ADQ (the sovereign wealth fund of Abu Dhabi), World Bank Group, and other investors — despite a challenging market. Through innovative technology, intuitive product design, robust security measures, advanced data analytics, and unwavering dedication to customer saisfaction, we're redefining what it means to bank in the modern era.

We are building Salmon to become a financial technology business that works impeccably 24x365, providing easy access to finance for millions of Filipinos. We aim to foster financial inclusivity and empowerment with our customers.

We thrive on challenges and opportunities for growth. Our team is constantly seeking individuals with sharp analytical minds and a knack for innovation. If you're someone who loves tackling complex problems and isn't afraid to voice your ideas, then Salmon is the perfect place for you.

✉️  Salmon Linkedin

Salmon in the Philippines

More about us

We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas—including credit scoring, collection, antifraud, sales and other.

This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models

Preference will be given to candidates open to relocating to Manila; remote work is also possible with an initial working trip to Manila for 1–2 months

Your future tasks:

• Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring
• Evaluate model performance and business impact, and iterate for continuous improvement
• Explore and integrate new data sources (internal and external), identifying additional predictive signals
• Contribute to advancements in modeling techniques, including geospatial and graph-based methods where relevant

What we expect from candidate:

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments
• Strong skills in Python and SQL; comfortable using Git