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Job Description
- Evaluate risk & return. Measure and interpret results. Identify MIS and data needs in the fraud risk environment.
- Evaluate potential control enhancements that improve business controls or reduce impact on customer experience.
- Takes responsibility for addressing problems, finding solutions, and making prudent decisions;
- Maintain a strong awareness of industry trends so these can be effectively communicated to Business partners and clients.
- Produce regular performance reporting for stakeholders to coordinate actions and mitigation plans;
- Strong analytical skills.
- Manage data quality issue research, investigation, and resolution through interactions with IT, BI, policy, analytics, and operational resources.
- Provide support for POCs with new vendor tools that combat fraud applications and account takeover.
- Provide governance over fraud Tableau site to mitigate negative impacts amongst the fraud functional areas.
- Identify data needs to improve monitoring and reporting of fraud trends,
- Design and create the texture behind quality rule identification and implementation,
- Develop innovative tools to eliminate manual profiling efforts by analytics and innovation teams.
- Build interactive scorecards and reporting needed to identify potential impacts of poor quality data on fraud decision-making.
- Address data-related CAP and compliance issues.
- Create a roadmap that identifies potential future data/technology needs that allow for scalability within our data quality framework.
Job Requirements
- Bachelor's degree is a must
- 3-5 experience required.
- Fraud experience in a Financial Institution.
- Experience with data analytics.
- Excellent time management skills with a proven ability to meet deadlines.
- Strong analytical and problem-solving skills.
- Ability to prioritize tasks and delegate them when appropriate.
- Ability to function well in a high-paced and at times stressful environment.
- Ability to work in a Team.
- Proficient with Microsoft Office.
