Hybrid Data & Risk Solutions Analyst

Ex; Greater London; Hybrid; GBP 85,000 - 110,000; Full time

Job summary

EXL, a global data and AI company, is seeking experienced Risk & Data professionals to support a large-scale migration from SAS to GCP as part of a major transformation program.

The roles analyse EUCs, data requirements and risk logic, translate requirements into engineering-ready specifications, and identify opportunities to reuse CDPs across use cases. Hybrid UK work with occasional travel to Halifax.

Qualifications

• Strong Banking / Financial Services experience, preferably Risk Analytics, Credit Risk or Lending.
• Good understanding of Risk processes and analytical use cases.
• Ability to translate business/Risk requirements into data requirements.

Responsibilities

• Analyse SAS-based EUCs to understand their business purpose, Risk logic, calculations, outputs and data requirements.
• Interpret SAS programs, ETL processes, macros, data flows and embedded business logic.
• Decompose complex use cases into business rules, data elements, calculations and dependencies.
• Work with Risk SMEs and stakeholders to validate requirements and resolve ambiguities.
• Assess the existing GCP data landscape to identify data elements available to support each use case.
• Determine which data can be used directly, derived, combined or added to existing data products.
• Understand data lineage, source systems, transformations, dependencies and data availability.
• Identify data gaps and articulate requirements for additional data attributes or transformations.
• Translate use-case requirements into clear data requirements and specifications.
• Define required attributes, business definitions, derivations, transformations and dependencies.
• Develop source-to-target mappings and document relevant data lineage.
• Identify common data requirements across EUCs and recommend opportunities to reuse or enhance existing CDPs.
• Produce engineering-ready specifications covering data requirements, business rules, mappings, dependencies and acceptance criteria.
• Conduct walkthroughs with Data Engineering, Architecture and Feature Pods.
• Support Engineering teams during implementation and resolve functional/data-related queries.
• Define validation and reconciliation requirements to support SAS-to-GCP migration.
• Work closely with Risk SMEs, Business Analysts, SAS/GCP Architects and Engineering teams.
• Participate in backlog refinement, sprint planning and solution walkthroughs.
• Identify dependencies, assumptions, risks and data gaps proactively.
• Contribute to reusable migration patterns, standards and knowledge assets across the migration factory.

Skills

Banking / Financial Services

Risk Analytics

SAS programming

SQL

Python

Agile delivery

Tools

GCP BigQuery

dbt

Looker

Job description

EXL, a global data and AI company, is seeking experienced Risk & Data professionals to support a large-scale migration from SAS to GCP as part of a major transformation program.

The roles analyse EUCs, data requirements and risk logic, translate requirements into engineering-ready specifications, and identify opportunities to reuse CDPs across use cases. Hybrid UK work with occasional travel to Halifax.