Job Title

Client of Alp Consulting is market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We are hiring for below position: Role: Senior Risk Modeler Job location: Bangalore/NCR region Qualification: Bachelor's or Master’s or Ph.D. in a field such as Engineering, Statistics, Mathematics, Economics, Finance, Data Science, or a related discipline from IIT only. Job Summary: As a Senior Risk Modeller specializing in Credit Risk, loss forecasting, you'll develop and maintain models to predict credit losses, manage credit risk, analyse their drivers, and stress-test portfolios, while communicating findings to both technical and non-stakeholders and collaborating with other teams to improve forecasting accuracy and credit risk management. Model Development & Validation: Develop and validate loss forecasting models, including those for credit risk, CECL, and other areas. Data Analysis & Interpretation: Analyse large datasets, identify key drivers of loss, and interpret model results to inform decision-making. Stress Testing: Conduct stress tests of credit portfolios to assess the impact of changing economic and business conditions. Communication & Collaboration: Communicate findings to both technical and non-technical audiences, including senior management and other stakeholders. Documentation & Reporting: Maintain comprehensive documentation for loss forecasting policies and procedures. Technical Skills: Proficiency in statistical modelling techniques, programming languages (e.g., Python, SQL), and data analysis tools. Industry Knowledge: Strong understanding of financial regulations, risk management principles, and industry best practices. Leadership & Teamwork: Ability to lead projects, mentor junior team members, and collaborate effectively with cross-functional teams. Problem Solving: Identify and address issues related to model performance, data quality, and business needs. Adaptability: Remain current with evolving risk management practices, regulatory changes, and modelling techniques. Qualifications: 5+ to 10 years of experience in risk modelling, credit risk analytics, loss forecasting, or a related area within banking, financial services, or consulting. Hands-on experience developing and validating credit risk models, including CECL, IFRS 9, stress testing, and regulatory models. Experience working with large financial datasets and applying statistical/econometric techniques for risk analysis. Strong proficiency in programming languages such as Python, R, SQL, SAS for model development and data analysis. Expertise in machine learning and statistical modelling techniques, including logistic regression, time series forecasting, survival analysis, and decision trees. Strong understanding of credit risk concepts, financial regulations (e.g., CECL, Basel II/III, IFRS 9), and stress testing frameworks. Knowledge of banking products, loan portfolios, and macroeconomic factors affecting credit losses. Excellent communication and stakeholder management skills, with the ability to present complex findings to non-technical audiences. Strong problem-solving abilities to address data quality issues, improve model performance, and align risk strategies with business objectives. Leadership experience in mentoring junior analysts and managing risk modelling projects. Familiarity with cloud computing platforms (AWS, Azure, GCP) and big data technologies is a plus.