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Manage, clean, and prepare internal and external data for monitoring and analytical assessment of SME Banking portfolios, providing insights and recommendations to enhance portfolio quality and optimize risk-return outcomes including data quality and integrity reports.
Develop deep-dive analytics across portfolios, products, and customer segments to identify emerging trends, opportunities for SME Banking teams in making decision-ready analytics for business decisions.
Deploy and enhance pre-emptive early warning signals and monthly triggers to prevent delinquencies, NPLs, and support optimization of banking reserves, through continue enhancement of the triggering framework and improvement of model accuracy.
Work closely with business users, credit approvers, collections, and relationship managers to align risk parameters, lending policies, product pricing with business strategy and regulatory requirements while generating analytics input for program design and refinement.
Generate, monitor, assess and improve regular portfolio performance reports and dashboards for senior management, regulators, and key stakeholders, including ad-hoc credit risk analysis and advisory.
Collaborate with Analytics Support and IT Teams to enhance the Analytics data mart and support system improvements that strengthen portfolio management capabilities.
Master's degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field.
5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking
Strong analytical mindset with experience analyzing large datasets and translating insights into actionable business and risk decisions.
Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts.
Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.
Excellent communication and stakeholder management skills, with the ability to present complex analytical findings to non-technical business and senior leaders.
Proficient in English (written and verbal), with confident presentation and documentation skills.
Willing to learn adapt with can do attitude; pragmatic and focused on both short & long-term results
Strong interpersonal skills with Entrepreneurial mindset.
Job ID: 152346125
Skills:
Hive, Hadoop, SAS, Spark, Oozie, Impala, Python, Sql, R
Skills:
Sql
Skills:
Power Bi, Data Analytics, Tableau, automated screening tools, CRM, recruitment platforms, candidate tracking systems