Senior Risk Manager
16 hours ago
Functional Expertise
Risk Model Development & Validation
- Design, develop, and validate credit risk models (PD, LGD, EAD)
- Excellent hands-on development experience in building A/B/C scorecards
- Implement model monitoring frameworks and performance tracking systems
- Conduct model back testing and stress testing exercises
- Extensive experience in building data pipelines using credit bureau data – preferably Experian and CRIF
Portfolio Risk Management
- Analyze portfolio performance and risk metrics
- Develop early warning systems and risk indicators
- Create vintage analysis and loss forecasting models
- Monitor concentration risk and portfolio diversification
Data Analytics & Insights
- Perform advanced statistical analysis and data mining
- Develop predictive models using machine learning techniques
- Create comprehensive risk reports and dashboards
- Conduct segmentation analysis and customer behavioral studies
Problem Solving
Analytical Thinking
- Ability to break down complex business problems into analytical components
- Design innovative solutions for risk measurement and management challenges
- Demonstrate strong quantitative reasoning and hypothesis testing skills
Strategic Decision Making
- Translate analytical insights into actionable business recommendations
- Support strategic planning with quantitative risk assessments
Innovation & Methodology
- Research and implement new analytical techniques and methodologies
- Continuously improve existing models and processes
- Identify opportunities for automation and efficiency gains
Interaction
Cross Functional Collaboration
- Work closely with Policy, Finance, and Business teams
- Partner with IT and Data Engineering on infrastructure requirements
- Collaborate with ERM and Audit teams on regulatory matters
Stakeholder Communication
- Present complex analytical findings to senior management and board committees
- Communicate risk insights to nontechnical stakeholders effectively
Prepare executive summaries and management reports
To succeed in the role
Qualification & Experience (type & industry)
- Graduate/ Postgraduate from a recognized university
- 5+ years post-qualification in banking or fintech field
Skills & know-how
Programming & Analytics
- Advanced proficiency in R or Python
- SQL for data manipulation and analysis
- Experience with machine learning libraries (scikitlearn, caret, etc.)
- Knowledge of big data technologies (GCP/Spark)
Statistical & Modeling Expertise
- Advanced statistics and econometrics
- Time series analysis and forecasting
- Survival analysis and credit modeling
- Machine learning and AI techniques
- Optimization and simulation methods
Tools & Platforms
- Proficiency in data visualization tools (Looker/ggplot2)
- Knowledge of cloud platforms (AWS, Azure, GCP) preferred
- Familiarity with version control systems (Git)
Behaviors
- Extremely high ownership.
- Self-starter with a bias for action.
- Ability to operate in a high ambiguity environment.
- Robust Interpersonal Skills for collaborating with various Units for facilitating closures
Effective Team Player.
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