Expert, Credit Risk Analytics and Modelling
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- The job holder will build credit risk modeling và solutions using statistical analysis, advanced machine learning, data mining and data visualization techniques, to create solutions to support credit decisioning throughout customer credit life-cylceKey Accountabilities (1)1. Credit Risk Model và Measurement tools
- Develop and continuously improve credit risk models to support credit decision making throughout customer's credit life-cycle: underwriting và approval, early-warning, collection và recovery
- Develop credit risk measurement tools and methodology in compliance with regulatory requirement and industry practices (SBV, Basel, IFRS9)
- Drive model implementation and usage with cut-off strategy recommendation/simulation
- Continue to monitor and recalibrate model on regular basis upon acquisition of new data available or significant findings of model monitoring/ validation to ensure model is fit-for-purpose
- Build policies, procedures, and guidelines related to the credit risk model development. Report, present and explain model to higher management for model approval.Key Accountabilities (2)2. Credit Risk Analytics và Insights
- Provide credit risk management reports và insights to BOD, BOM, relevant units internal/external division/bank.
- Conduct portfolio assessment/in-depth analysis by forums and boards: BOM/BOD; ARCO/ALCO; other as requested.
- Perform portfolio credit quality forecast, scenario analysis/simulation for management decision / strategic planning / ICAAP, etc…Key Accountabilities (3)3. Credit Risk Analytics Infrastrucutre, Research và Development
- Research, compare, apply external/alternative data resources and advanced techniques into risk model development as benchmarking/challenger model for continuous improvement and upskilling
- Operate and maintain credit risk feature stores and model deployment platform (batch-run model and real-time decision engine),
- Operate and maintain credit-risk related datamart and information system (debt classification, provisioning, and credit risk metrics) in accordance with regulatory and international standards (Basel II, IFRS9)Success Profile - Qualification and ExperiencesExperience:
- Minimum 8 years of experience in Banking, Risk Modeling or equivalent
- Understand international regulations and practices on Basel 2, IFRS9, and Stress-Test
- Extensive experience in building data and analytics solutions, data mining, statistical analysis and data visualization
- Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale
- Strategic decision taking and thinking, able to deal with very senior management, translate tech to business and vice versa
Qualification:
- Bachelor's degree or higher (finance / banking / financial risk management / financial math / quantitative finance)
- Being trained at university or graduate level in these fields is advantageous in developed countries.
- Having an internationally recognized certificate in financial analysis, financial risk management is an advantage (eg, FRM, CFA, PRM, CPA, ...)
- English proficiency requirements are pursuant to Techcombank's policy