SALMON ROBOTICS LIMITED
11 - 50 employees
💳 Fintech
🏦 Banking
👥 B2C
Fintech • Banking • B2C
SALMON ROBOTICS LIMITED is a financial technology company building digital banking and consumer finance services in the Philippines under the Salmon Group and Salmon Bank brands. Backed by experienced finance and tech leaders and international investors, it operates a licensed rural bank, offers deposit products, consumer lending, payment and QR solutions, and deploys AI and data analytics to improve security, customer experience, and inclusivity. The company emphasizes customer care, intuitive product design, partnerships with retailers and payment networks, and 24x365 dependable service to expand access to modern financial services for millions of Filipinos.
Credit Scoring Data Scientist
Job not on LinkedIn
🕒 April 13
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SALMON ROBOTICS LIMITED
11 - 50 employees
💳 Fintech
🏦 Banking
👥 B2C
Fintech • Banking • B2C
SALMON ROBOTICS LIMITED is a financial technology company building digital banking and consumer finance services in the Philippines under the Salmon Group and Salmon Bank brands. Backed by experienced finance and tech leaders and international investors, it operates a licensed rural bank, offers deposit products, consumer lending, payment and QR solutions, and deploys AI and data analytics to improve security, customer experience, and inclusivity. The company emphasizes customer care, intuitive product design, partnerships with retailers and payment networks, and 24x365 dependable service to expand access to modern financial services for millions of Filipinos.
📋 Description
• Build credit scoring models (application & behavioral) from scratch • Own the full modeling lifecycle: data exploration → feature engineering → model development → validation → deployment → monitoring • Validate models using AUC, KS, Gini, PSI, and bad rate • Monitor model performance in production and initiate recalibration or retraining when needed • Evaluate model impact using NPV, backtesting, and real portfolio performance • Translate models into implementation-ready specs for decision engines • Work closely with product and risk to adjust approval strategies, cut-offs, and pricing • Contribute to credit policy and risk strategy evolution, not just model development • Take full ownership of your models - from raw data to business impact • Operate with a strong focus on real-world performance, not offline metrics
🎯 Requirements
• 2+ years of hands-on experience specifically in credit risk modeling (not generic data science) • Proven experience building or validating credit scoring models: • Application and/or behavioral scoring • Strong understanding of: • PD modeling • AUC / KS / Gini • Stability metrics (PSI, CSI) • Hands-on experience with the full model lifecycle in production • Ability to build models from scratch, not only maintain existing ones • Strong Python (pandas, scikit-learn) and SQL skills • Experience working with lending or credit products (loans, credit cards, BNPL, etc.) • Experience translating models into production / decision engine logic • Understanding of business impact evaluation (NPV, backtesting, portfolio metrics) • Experience working with real lending data (e.g. bureau, transactional, credit history) • Ability to work cross-functionally with product, engineering, and risk teams
🏖️ Benefits
• Willingness to relocate to Manila HQ is a strong advantage
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