Job Description
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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