Risk Analytics (Modelling)
ROLE OBJECTIVE
The incumbent would be responsible for, developing applicational/behavioral scorecards, loss models, managing mortgage guarantee portfolio analytics, build reports/dashboards for leadership, help implement enterprise risk management (ERM) controls in the organization
KEY RESPONSIBILITIES
• Develop decision analytic tools such as mortgage score card using statistical techniques or judgmental methods
• Develop models for mortgage guarantee loss assumptions, pricing, loss forecasting and economic capital etc.
• Responsible for overall portfolio analysis, monitoring and reporting. Track early warning tool risk metrics and concentration limits for portfolio, products, regions, lenders and other key risk drivers
• Help implement ERM controls in the organization
• Support reporting function in building monitoring reports for business insights
• Conduct detailed portfolio analysis including stacked risk factors, vintage study, pricing versus actual performance, and other ad-hoc analysis required. Identify key areas of portfolio concerns and provide recommendations on action plans
• Develop economic modeling and stress testing capabilities
• Provide scenario, sensitivity analysis, what-if analysis and other analysis as required
• Identify and implement appropriate risk tools, key metrics and triggers
• Conduct detailed analysis and monitoring of housing markets and regional economies. Track key macro-economic risk drivers.
• Coordinate closely with Business Development Leader and Operations Leader in all segmentation and product expansion strategies to ensure that risk appetite and standards are being complied
SKILLS
Domain/Technical Knowledge
• Extensive working experience with large, complex data sets including working with cross-sectional and time-series data
• 2+ years of extensive experience using SAS and other analytical software in data analysis, modeling, and reporting
• Strong knowledge and experience with statistical modeling and/or scorecard building
Behavioral/Others
• Demonstrated ability to communicate effectively with non-technical stakeholders in both presentation and verbal communications
• Strong organizational skills with ability to manage multiple priorities
• High energy levels, “Can Do” attitude and works well under pressure to meet deadlines
• Strong organizational skills with ability to manage multiple priorities
• Proven ability to work in teams and manage projects and deliver business results in a rapidly changing and cross-functional matrix environment
EDUCATION
Bachelors/Masters or equivalent degree in a quantitative discipline such as Statistics, Actuarial Sciences, Mathematics, Quantitative Finance or Economics