Job Profile: Fraud Risk
Company Name: A Leading Investment Bank
Location: Pune
Experience: 8 – 12 Years
Salary: 25-37 LPA
Notice Period: 30 Days
Must Skills: Data Analysis, SAS, Python & R
Working Day: 5 days a week
Gender: Only Female Candidates
Duties and Responsibilities:
Primary Responsibilities include:
- Analysis of customer data & transactional data to identify emerging fraud trends, develop and improve fraud strategies
- Periodic review & development of MIS reports, 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 efficacy & enhance customer experience.
- Provide actionable insights to senior global stakeholders by leveraging data analytics.
- Focus on development of tactical & strategic solution with high visibility of key stakeholders.
- Drive the end to end testing approach – including test case documentation, review & monitoring of role performance, fine-tune rules – and strategy implementation.
- Work with various stakeholders during strategy development and conversion efforts to identify and fulfil data/analytical needs; develop comprehensive transition plan
Job skills / Qualification:
- Bachelor’s degree in Statistics, Economics, Finance, Mathematics or related qualitative field
- Engineering/ MBA background from a premium Institute
- Minimum 4+ years of hands-on analytical experience
- Minimum 3+ years of experience in statistical analysis with working knowledge of at least one of the following statistical software packages: SAS(Must), Tableau, Python or R.
- Excellent presentation skills to eloquently explain and drive the agenda.
- Model development & governance experience in any domain will be preferable.
- Successful candidates will have a demonstrable analytic, problem solving & has the ability to deliver projects in a fast-paced environment
- Strong written & communication skills; experience with stakeholder management
- Experience in fraud strategy/ processes and/ or fraud analytics is plus