Role Summary/Purpose

As an Assistant Vice President, Fraud Strategy and Analytics you will have the opportunity to work on major business initiatives that contribute to growth and productivity objectives. In this role you will have the responsibility of managing multiple assignments supporting the Fraud function & will work directly with the business in catering to the end-to-end analytical needs.

Essential Functions/Responsibilities

- Conduct analysis of ongoing fraud trends using historical authorization and fraud data to drive fraud strategies, reduce fraud - losses and enhance customer experience.

- Develop, implement, monitor and provide performance tracking of account management fraud strategies and fraud mitigation - tools for all Synchrony portfolios.

- Manage projects to ensure successful implementation of fraud strategies, tools and processes

- Develop and maintain and monitor dashboards and reports designed to track portfolio losses associated with PLCC and DC - portfolios.

- Communicate fraud trends to Fraud Analysis and Strategy manager and senior leadership

- Recommend counter measures to reduce fraud losses.

- Define & drive reporting standards with key focus on accuracy

- Provide general consultancy to support to the business in their on-going use of scores and their generation and interpretation of scorecard monitoring reports

- Work on a number of different projects simultaneously, of varying complexity and length. Establishing priorities and coordinating work

- Appropriate management of time and resources

- Proactively manage efforts to maintain stakeholder satisfaction, and quantify project benefits delivered

- Develop and support Best-in-class analytic solutions/algorithms

- Provide thought leadership in various initiatives/projects

- Influence Senior Management on new tools/solutions built by the team

Qualification / Requirements

- 8+ years of experience in Analytics domain with atleast 5 years in Consumer Credit / Fraud environment. Atleast 3 years of experience managing end to end project management

- Masters or Ph.D. in Mathematics/Statistics, Operations Research, Economics, Computer Science/Engineering or other quantitative majors, or equivalent experience beyond Bachelor's degree.

- Deep experience with various Credit/Fraud Risk modeling & strategy building methodologies in a development role.

- Big-picture understanding of Credit Risk & ability to communicate with business and technical stakeholders

- Strong knowledge & hands-on experience of Logistical/Linear/Regressions CHAID/CART/Clustering techniques, Optimization

- Solid working knowledge of SAS, SQL, Unix, Excel.

- Strong written/oral communication skills.

Desired Skills

- Exposure to Big Data technologies - Knowledge of R/Python and other open source tools.

- Ability to work in a matrix organization

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Harish.B

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