Senior Data Analyst

hace 1 mes

Viña del Mar, Valparaíso, Chile Evalueserve A tiempo completo
About Evalueserve

Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact.

Our Culture

We have a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a collaborative and supportive work environment that fosters innovation and creativity.About the Role

We are seeking a highly skilled and experienced Data Analyst to join our Risk and Quant Solutions (RQS) team. As a Data Analyst, you will play a critical role in addressing some of the world's largest financial needs with technology-proven solutions. You will work closely with cross-functional teams to extract, compare, and clean data sets from various sources for credit risk model development and reporting purposes.

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.
Requirements
  • Bachelor's degree in a relevant field (e.g., Computer Science, Mathematics, Engineering).
  • Proven experience (4+ years) in data analytics, with a track record of successful data extraction, analysis, and modeling.
  • Strong background in credit risk management, including expertise in rating models, CECL, IFRS9, stress testing, and AIRB (PD, LGD, and EAD models) frameworks.
  • Proficiency in SAS and SQL for data manipulation, analysis, and automation.
  • Ability to conduct data analysis, derive valuable insights, and support decision-making.
  • Experience conducting ETL process tests and contributing to data quality initiatives.
  • Excellent verbal and written English communication skills.
  • Desirable experience in Customer Service roles, showcasing strong communication and problem-solving skills.
  • Demonstrated ability to work collaboratively within cross-functional teams.
  • Detail-oriented with a focus on accuracy and efficiency.
  • Sense of urgency and ability to work well under time constraints.

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