Senior Risk Data Platforms Specialist

Job description

The opportunity:

We are looking for a Risk Data Platforms Specialist in the Risk and Compliance Transformation team, with 4-9 years of regulatory reporting data platforms experience with preferred prior experience in capital, financial and other regulatory reports, involving identification of critical data elements, documentation and validation of end-to-end reporting lineage, source-system analysis and data extraction processes, mapping of data movements, transformations and interfaces across reporting systems. In this role, you will play a dual role - a) of documenting data lineage, controls and transformations and b) support the team for overall product or project delivery involving risk data aggregation and reporting, team member technical coaching etc.

EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Risk and Compliance Transformation practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY's DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations.

Your key responsibilities:

• Identify report owners, critical data elements and reporting metrics.
• Use working experience for documenting end-to-end data lineage, CDE identification, controls and evidence.
• Understand data transformations/aggregation at system hops and identify associated data risks in line with BCBS 239 guidelines.
• Map controls to mitigate data risks and identify any control gaps.
• Demonstrate the right ways to capture and validate data lineage documentation.
• Map data movements, transformations and interfaces across reporting systems.
• Demonstrate critical thinking, strong communication, logical reasoning and technical convincing as needed.
• Perform QA reviews of team deliverables to ensure client expectations on delivery quality are met.
• Automate lineage capture and documentation activities wherever possible using the most feasible approaches (Excel/VBA or Python or any available tools).
• Work across Regulatory Reporting, Finance, Risk, Data Office and IT.
• Provide functional support to all phases of delivery (Sprints, Testing, Hypercare etc.).
• Guide and coach junior team members.

Skills and attributes for success:

Required Skills:

• 4-9 years of experience in data used for risk, financial and supervisory reporting within the broader data governance context, with the right mix of practical lineage capability and strong analytical, investigative, documentation and stakeholder-management skills.
• Working experience in Capital Adequacy and Risk Exposures (any 1 or more subject areas of capital adequacy, own funds, credit risk, market risk, operational risk, leverage, liquidity metrics, large exposures, asset encumbrance).
• Working experience in source-system analysis and data extraction processes.
• Working experience in mapping of data movements, transformations and interfaces across reporting systems.
• Working experience in automation of lineage capture and documentation activities.
• Working experience in data catalogue, metadata repository and reporting architecture initiatives.
• Working experience in identification of report owners, critical data elements and reporting metrics.
• Working experience in documentation and validation of end-to-end reporting lineage.
• Working experience in maintenance of reporting inventories, controls and governance documentation.
• Working experience in coordination with Data Office, Finance, Risk Management and other stakeholders.

Good to have:

• Support during regulatory reviews and onsite inspections.
• IFRS 9 ECL Models.
• Mapping of PD, LGD and EAD inputs, staging, forward-looking information, calibrations, overlays and calculation outputs.
• Documentation of model dependencies, assumptions, controls, reconciliations, governance, validation and approvals.

Preferred Qualifications:

• Certifications: Any Data Engineering certifications such as AWS Data Engineer Certification, Azure Data Engineer Certification, Google Cloud Professional Data Engineer.
• AI or ML certifications.

Education:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.