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Data Analyst – Risk Models

NeorisRemote, Spain7h ago

Sobre NEORIS:
NEORIS now part of EPAM is a Digital Accelerator that helps companies step into the future. With more than 20 years of experience as Digital Partners to some of the world’s leading organizations, we operate with over 4,000 professionals across 11 countries. We foster a multicultural, startup-oriented culture that promotes innovation, continuous learning, and the delivery of high-impact solutions for our clients.

We are seeking an experienced Data Analyst to join an IT product team supporting the end-to-end lifecycle of multiple Risk models within a Financial Services environment. This role sits at the intersection of business, data, and technology, ensuring that data requirements are accurately defined, validated, transformed, and tested to support critical risk capabilities.

The position requires strong analytical depth, hands-on SQL expertise, exposure to SAS, and proven experience working in Financial Services or Banking environments.

Key Responsibilities:

• Conduct As-Is analysis and document functional process flows related to Risk model data usage.
• Analyze existing SAS code and End User Computing tools to understand data logic and validate outputs using SQL.
• Define data requirements and produce Business Requirement Documents (BRDs) and technical specifications, including transformations, mappings, and integration points.
• Design and document the To-Be data processes and datasets.
• Collaborate with development teams to clarify functional requirements, validate technical implementations, and support resolution of code-related incidents.
• Lead and coordinate User Acceptance Testing (UAT), ensuring defects are tracked, resolved, and validated prior to release.

Requirements:

Mandatory:
• 5+ years of experience as a Data Analyst within Financial Services or Banking (Retail, Business, or Corporate Banking).
• Strong hands-on experience performing complex data analysis using SQL, including data validation, reconciliation, and testing.
• Exposure to SAS, including reviewing and interpreting SAS code to understand data logic and transformations.
• Experience producing BRDs, technical specifications, user stories, and process documentation.
• Proven experience working with end users to plan and execute UAT cycles.
• Advanced written and verbal communication skills, with the ability to translate functional requirements into technical specifications.
• Strong attention to detail and ability to manage work independently within defined objectives.

Nice to Have:
• Understanding of cloud technologies, particularly AWS.
• Experience with BI tools and analytical reporting environments.
• Exposure to large-scale transformation programs and data migration initiatives.
• Demonstrated curiosity and interest in emerging technologies and data innovation.

What do we offer?

A career plan where you can choose your path: technical specialization or management
Social benefits
Continuous training
Flexible working hours and work-life balance

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Data Analyst – Risk Models

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