Why outstaff instead of hiring in-house?
• Slash time-to-market – start building or optimising your Credit Scoring Machine Learning Model within days, not months spent on recruitment.
• Pay purely for expertise used – avoid full-time salaries, bonuses, desk costs and severance; scale capacity up or down whenever scoring volumes change.
• Tap vetted Python talent that already understands credit bureau feeds, PD/LGD modelling, Basel/FSA compliance and Japanese data-privacy rules.
• Retain full IP ownership & security backed by airtight NDAs and enterprise-grade processes.
Smartbrain outstaffing lets you stay laser-focused on lending strategy while our engineers shoulder the MLOps, feature engineering and model governance – for up to 40 % lower TCO compared with direct hires.