Cluster Manager - BFS Direct

Job Purpose
The Cluster Manager - Risk Analytics is responsible for developing, validating, monitoring, and governing credit risk models and underwriting strategies across unsecured lending portfolios. The role drives data-driven decision-making through advanced analytics, scorecards, and risk frameworks, while ensuring compliance with regulatory, audit, and model governance standards. The individual collaborates closely with Risk, Business, Data Engineering, Technology, and Deployment teams to deliver scalable and impactful risk solutions. Duties and Responsibilities
Key Responsibilities
Risk Analytics Model Development

Develop and enhance credit risk scorecards, underwriting models, and analytical frameworks for retail lending products.

Build predictive models using bureau, banking, alternate data, and customer behavioral datasets.

Perform feature engineering, variable selection, model training, validation, and segmentation analysis.

Evaluate model performance using metrics such as Gini, KS, Lift, PSI, CSI, Precision, and Recall.

Design risk segmentation and decision strategies to optimize approval rates, portfolio quality, and business growth.

Conduct portfolio performance reviews and recommend policy enhancements based on emerging trends.

Support implementation of underwriting cut-offs and risk-based customer prioritization frameworks.
Model Monitoring Governance

Prepare model development documents, SOPs, validation packs, and governance artefacts.

Own ongoing model performance monitoring and stability assessment.

Publish periodic monitoring reports and identify early warning indicators for model deterioration.

Conduct root cause analysis for model breaches and recommend corrective actions including recalibration or redevelopment.

Ensure adherence to Model Risk Management (MRM) and governance standards.

Support internal audits, model validation exercises, and regulatory reviews.

Maintain comprehensive documentation throughout the model lifecycle.
Deployment Production Support

Partner with Technology and Data Engineering teams for model deployment.

Validate model inputs, outputs, API integrations, and journey implementation.

Ensure data quality, pipeline reliability, and consistency across production environments.
Stakeholder Management

Work closely with Risk, Business, Product, Technology, Data Engineering, and Governance teams.

Present analytical findings and recommendations to senior management.

Translate complex analytical insights into actionable business strategies.

Required Qualifications and Experience
Desired Skills Competencies

Strong knowledge of credit risk analytics and underwriting process.

Expertise in SQL, Python, Databricks, and large-scale data analysis.

Experience in model development using Machine Learning and Statistical Techniques.

Understanding of bureau, banking, and alternate data ecosystems.

Strong problem-solving, stakeholder management, and communication skills.

Familiarity with model governance, validation, and audit requirements.