Role Outline/Job Summary

This position is within the Cards Credit Abuse/First Party Fraud Strategy Management team.

Role highlights:

• Work on credit abuse acquisition/ECM strategy development/maintenance for Cards
• Collaborate with multiple stakeholders like portfolio policy team, IT, regulators, compliance etc
• Effective communication to senior management for various strategy changes

Responsibilities:

• Lead end to end credit abuse strategy including development/enhancement, implementation, maintenance, MIS management etc
• Develops Risk Segmentation models by deploying sophisticated statistical techniques like CHAID, cluster analysis, pattern recognition etc. for credit abuse/first party fraud risk discrimination at Acquisition and Existing Customer Management stages
• Work in  establishing the swap set analysis and P&L optimization using the models
• Hands on experience of Credit/Fraud Risk strategy development.
• Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and strategy implementation teams.
• Implement initiatives to ensure consistency and compliance with global credit policies
• Observe key credit abuse trends, threats, inaccuracies and drivers of those observations.
• Support Audit requirements from external/internal auditors & queries from Independent Risk
• Strong analytic, strategic and project management skills
• Effective communication is critical.
• Should be able to effectively provide updates and communicate key initiatives to senior risk management.
• Mentoring/Guiding junior resources – Drive projects as lead with junior resources.
• Should have the ability to manage different stakeholders – Risk Policy, IT, Regulators
• Presentations to both technical and non-technical personnel are required to be made frequently as part of the job.

Qualifications

• Under Grad/ Post Graduate degree with a specialization in Statistics, Mathematics, Engineering or other quantitative discipline.
• 4+ years’ work experience required
• Experience in strategy/model development in banking preferred
• Preferred knowledge of credit/fraud risk analytics

Skills

• Strong analytical skills in conducting sophisticated analysis.
• Experienced in developing, implementing and monitoring, that is end-to end project management. Experience in statistical analysis with working knowledge of at least one of the following statistical software packages: SAS ,Python, R
• Highly proficient in Excel/pivot tables and PowerPoint.  Tableau is a plus
• Exposure to project/process management Prior experience in leading a team of juniors or mentoring is preferred
• Strong communication and presentation skills targeting a variety of audiences A qualified candidate needs to be able to work with cross functional teams
• Flexibility in approach and thought process
• Ability to work effectively across portfolio risk policy teams and functional areas teams 
• Strong influencing and facilitation skills.

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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