Credit Risk Data Analyst

hace 1 mes

Valparaíso, Valparaíso, Chile Evalueserve A tiempo completo
About Evalueserve

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.

About Risk and Quant Solutions

Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world's largest financial needs with technology proven solutions. You would solve these banking challenges and improve decision making with award winning solutions.

Job Description

We are seeking a skilled and experienced Senior Data Analyst to join our dynamic team. The ideal candidate will possess a very strong background in data analytics, advanced programming, process documentation, and management skills.

As a Senior Data Analyst, you will play a key role in extracting, analyzing, documenting, and processing data to drive insightful decisions and optimize operational efficiency.

Key Responsibilities
  • Implement and adhere to data quality standards, ensuring accuracy and completeness of variables for a specific financial product.
  • Leverage data analytic skills to extract, compare and clean data sets from various sources for credit risk model development and reporting purposes.
  • Utilize strong programming skills in SAS, SQL and Excel for data migration user acceptance testing.
  • Demonstrate expertise in process description and framework, documenting control objectives, and assessing processes for efficiency and accuracy.
  • Collaborate with cross-functional teams to establish and implement robust execution processes, ensuring consistency and effectiveness across products.
  • Use of Jira tool and scrum meetings for process tracking and team updates.
  • Conduct regular audits to assess data quality and initiate corrective measures.
  • Create and maintain comprehensive documentation end-to-end processes, highlighting key data touchpoints and critical milestones.
  • Communicate findings and insights effectively through advanced written and verbal English skills.
  • Ensure the security and confidentiality of sensitive financial information.

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