- Deliver risk solutions across credit risk (underwriting, exposure controls and line management)
- Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies
- Manage challenging time constraints to ensure on-time delivery of projects
- Build credit analysis models and provide data-driven insight on improving efficiency and effectiveness of the credit risk systems.
- Generate risk management reports for monitoring of acceptance rates
- Evaluating existing and new data sources to identify opportunities for customized and optimized data solutions that address business needs
- Collect data, analyse, and identify key differentiating indicators for risk segmentation and for driving effective risk mitigation strategies.
- Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.
- Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.
- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.
- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.
- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.
- Analyse loss trends and simulate risk decisioning strategies that help optimize revenue ,approval rates etc.
- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.
- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.
- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.
To help us ideally you have:
- Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.
- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.
- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.
- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.
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