Credit Analyst

Role & responsibilities

- Produce analytical / data asset prototypes and work with stakeholders to define requirements, definitions, and objectives.

- Supporting the design and development of data assets, including data analysis and transformation logic.

- Applying advanced analytics to portfolio data, especially in data remediation and improving data quality, completeness, and consistency.

- Applying business and data design principles, risk management, and technology architecture when interacting with delivery partners.

- At times deputizing for Product Owners in the oversight of the change plan for data requirements in the assigned Agile POD including prioritization of backlogs.

- Acting as ambassadors in ensuring credit data definitions are appropriately documented and applied.

- Providing guidance and advice on technology and big data.

- Collaborating with various stakeholder groups to ensure the availability and quality of data.

- Providing support for troubleshooting and root cause assessment of data issues.

- Proactively managing the transition of data assets to production state and ensuring effective embedment.

Preferred candidate profile

You should be a subject matter expert with a strong understanding of Credit and Lending processes with between 6-10 years of experience.

- Hands-on experience with advanced programming languages (e.g., Python or Pyspark) and data visualization tools (e.g., Tableau or Qlsense) is necessary.

- Your role will require expertise in data management, analytics, and a knowledge of large company structures, values, and processes.

- Proven experience in leading delivery across diverse environments and managing stakeholders is essential.

Perks and benefits

Best