Credit Risk Modelling Consultant

Who are we?Outsized is a high-growth, well-funded disruptor in the fast-evolving talent economy. We focus on full-time contractual engagements (remote or onsite), typically lasting between 1–18 months. Our mission is to help independent professionals access high-impact projects with leading global clients while offering resources to upskill and grow their careers.Outsized members are part of an exclusive community where they can connect with peers and experts, participate in live events, and collaborate on exciting new opportunities.Who are we looking for?We are seeking an experienced Credit Risk Modelling Consultant to join an exciting 18-month engagement with one of our global payment consulting clients. The project supports a leading financial services institution in Sri Lanka on a large-scale decision science and risk transformation initiative. This role is ideal for a seasoned credit risk professional who thrives at the intersection of data, analytics, and regulatory compliance. You’ll play a key role in designing, building, and validating advanced credit risk models to enhance data-driven lending, strengthen portfolio analytics, and align with international frameworks such as IFRS 9 and Basel.Role & ResponsibilitiesDevelop statistically robust application and behavioral scorecards and credit risk models (PD, LGD, EAD) for retail and SME portfolios.Design and implement loss forecasting frameworks using techniques such as vintage, roll-rate/Markov, survival/hazard, and GLM/GBM models.Engineer and validate features from bureau, behavioral, transactional, and alternative data sources, ensuring data quality and integrity.Conduct model calibration, back-testing, and performance monitoring using metrics like PSI/CSI, KS/AUC, and calibration tests.Build and test model explainability tools (e.g., SHAP, reason codes) and perform bias and fair-lending checks.Ensure model alignment with IFRS 9 / CECL frameworks and Basel capital adequacy requirements.Collaborate closely with senior stakeholders, model governance, and decision science teams to deliver actionable insights.Skills & Qualifications8+ years of experience in credit risk modelling, scorecard development, and portfolio analytics.Advanced degree (Master’s or higher) in Statistics, Economics, Mathematics, or a related quantitative field.Proven experience with credit card or retail lending portfolios.Strong technical skills in Python, SQL, SAS, and familiarity with machine learning and visualization tools (e.g., Tableau).Deep understanding of IFRS 9 / CECL, Basel standards, and model lifecycle management.Excellent communication skills — able to present analytical insights clearly to business and non-technical audiences.Other DetailsLocation: Colombo, Sri Lanka (on-site)Duration: 18 months (full-time contractual engagement)Engagement Type: Onsite, working as part of the client’s analytics teamCompensation: Competitive, based on experience and suitabilityPlease apply via the Apply button on this post. Direct outreach on LinkedIn or email won’t be considered an application