Manager/Senior Manager/AVP - Fraud Analytics - BFSI

Experience - 7 - 12 Years

Job Description

Job Skills/Qualification:

- Bachelor's degree in Statistics, Economics, Finance, Mathematics or a related quantitative field

- Engineering /MBA background from a premier institute

. Minimum 4+ years of hands-on the analytical experience

- Minimum 3+ years' experience in statistical analysis with working knowledge of at least one of the following statistical software packages: SAS (Must), Tableau, R or Python.

- Excellent presentation skills to eloquently explain and drive the agenda.

- Model development and governance experience in any domain will be preferable.

The successful candidate will have a demonstrable analytic, problem solving, and has the ability to deliver projects in a fast-paced environment

- Strong verbal and written communication skills; experience with stakeholder management

Experience in fraud strategy/processes and/or fraud analytics is a plus

Primary responsibilities include:

- Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies

- Periodic review and development of MIS report, dashboards and communication of fraud results internally and to the business using advanced visualization techniques.

- Perform gap analysis to identify system weaknesses and mitigating measures.

- Lead and recommend process/logic change to drive efficiency and enhance the customer experience.

- Provide actionable insights to senior global stakeholders by leveraging data analytics.

- Focus on the development of tactical and strategic solutions with high visibility for key stakeholders.

- Drive the end to end testing approach - including test case documentation, review and monitoring of rule performance, ne- tune rules - and strategy implementation.

- Work with various stakeholders during strategy development and conversion efforts to identify and full data/analytical needs; develop a comprehensive transition plan

Must have - Data Analysis, SAS, R, Python