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Data Analyst Operations Specialist

hace 2 meses


Xico, México Hsbc A tiempo completo

Job Summary

We are seeking an experienced professional to join our team in the role of Credit Bureau Analyst. This position provides support and analytical expertise to deliver commercially relevant Global Collections, Underwriting, Credit Bureau, and fraud standards that build functional operational capabilities to deliver results.

Key Responsibilities

  • Support Regional Operations Analytics in ensuring strong and sophisticated operations capabilities, aligned to Group standards of expectation.
  • Develop and deliver customer-centric, sustainable relationship capabilities to improve execution of operations.
  • Conduct complex research projects and statistical models related to project design, data collection, analysis, and summary of findings, recommendations, and presentation of results.
  • Gather and analyze economic, industry, demographic, and/or other data to determine impact on business operations.
  • Manage projects to develop recommendations for credit policy, credit/data support systems, bulk acquisitions, new merchant program structures, profitability/pricing for accounts and portfolios, and provide revenue, cost, and delinquency and loss forecasts.
  • Responsible for the complete project lifecycle of assigned research projects.
  • Evaluate and implement internal and external credit scoring models using traditional and advanced predictive technologies.

Requirements

  • Bachelor's degree in mathematics, statistics, finance, economics, engineering, or related field or equivalent experience; master's degree preferred.
  • Strong management, interpersonal, organizational, analytical, problem-solving, project management, and verbal and written communication skills.
  • Proficiency with personal computers and pertinent mainframe systems and statistical software packages, preferably R, Python, or SAS.

Experience

  • 3 years proven credit policy and/or credit risk management/analytics experience, or equivalent.
  • Strong knowledge and understanding of financial services.
  • Advanced knowledge of business practices, business methods, and business systems utilized to ensure data is interpreted properly.
  • Advanced data manipulation and programming skills.