Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API @ 4
Agile @ 4
Audit @ 7
Azure @ 4
Azure DevOps @ 4
BI @ 4
Communication @ 7
DevOps @ 4
ETL @ 7
Jira @ 4
Power BI @ 4
Python @ 4
Reporting @ 4
SQL @ 4
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Americas Technology is seeking an experienced, hands-on Test Lead to establish and coordinate the testing approach for Finance, Risk, and Tax reporting deliverables within a major local and global internal program. The role will lead test planning and execution across data and reporting capabilities supporting management, internal, and regulatory reporting needs.
The reporting scope includes Shared National Credit (SNC) regulatory reporting, Risk management reporting, Tax Profit and Loss and Balance Sheet reporting, and Finance reporting solutions built on Power BI. Testing will cover source systems, data ingestion, data models, simplified views, consumer lenses, mappings, interfaces, and downstream reports.
ING Americas follows a hybrid work model, allowing for in-office and work-from-home flexibility.
Responsibilities
- Define and implement a risk-based, end-to-end testing strategy and operating model for Finance, Risk, and Tax reporting deliverables.
- Create and maintain integrated test plans, scopes, schedules, entry and exit criteria, roles and responsibilities, environments, data requirements, dependencies, evidence standards, and reporting cadences.
- Coordinate system integration testing, data validation, end-to-end testing, user acceptance testing, regression testing, dry runs, and business sign-off activities.
- Translate business requirements, reporting rules, business requirement documents, source-to-target mappings, and acceptance criteria into test scenarios, test cases, and expected results.
- Validate data completeness, accuracy, lineage, transformation logic, aggregation, reconciliation, and report presentation across systems of record, ingestion processes, FRIDA data models and views, consumer lenses, and downstream reporting tools.
- Lead testing for SNC regulatory reporting, including critical data elements, product and data-pattern coverage, mappings, report outputs, and supporting evidence.
- Lead testing for Risk management reports, including Local Sector RAS and Country Risk reporting, calculations, thresholds, filters, dimensions, aggregation levels, drill-down behavior, and Power BI outputs.
- Lead testing for Tax Profit and Loss and Balance Sheet reporting, including mapping rules, calculations, state- or entity-level outputs, reconciliations, and business acceptance.
- Coordinate testing of Finance reports and semantic models, including product-by-product data coverage and reconciliation to source and accounting information.
- Establish test data requirements and coordinate data preparation, refresh, masking, access, and availability across test environments.
- Ensure coverage of positive, negative, boundary, exception, historical, late-adjustment, and data-quality scenarios, including missing, duplicate, inconsistent, and rejected records.
- Own defect governance, including logging, severity and priority alignment, triage, assignment, aging, retesting, closure, root-cause visibility, and escalation.
- Maintain execution and defect records in Azure DevOps or approved workstream tooling, ensuring traceability among test cases, results, evidence, defects, requirements, and approvals.
- Facilitate daily test coordination, defect triage, and readiness reviews across business, data, engineering, reporting, vendor, and global platform stakeholders.
- Produce testing dashboards and governance updates covering planned, executed, passed, failed, blocked, and deferred tests; open defects; decisions; residual risks; and sign-off readiness.
- Confirm testing of applicable non-functional and control requirements, including access, security, auditability, retention, resilience, monitoring, data-download controls, and operational support readiness.
- Support production readiness, including dress rehearsals, cutover validation, initial reporting cycles, aftercare, control evidence, and handover.
- Coach analysts, developers, and business testers on test-case quality, evidence expectations, defect documentation, and consistent execution practices.
Requirements
- At least 7 years of software testing, data testing, quality assurance, or test management experience, including complex technology, data, or regulatory-change initiatives in a large, matrixed organization.
- Experience leading testing for Finance, Risk, Tax, regulatory reporting, management information, or other data-intensive reporting capabilities in financial services.
- Strong understanding of end-to-end data flows, including source systems, ETL or ingestion, data models, transformation rules, data warehouses or marts, semantic layers, and reporting tools.
- Hands-on experience designing test strategies, integrated test plans, scenarios, test cases, expected results, execution controls, traceability matrices, defect processes, and test completion reports.
- Strong data-validation and reconciliation skills, including comparing source data, transformed datasets, calculations, and report outputs.
- Experience testing data mappings, interfaces, batch files, APIs, business rules, calculations, aggregations, filters, thresholds, hierarchies, and report visualizations.
- Strong defect-management experience, including severity assessment, triage, root-cause coordination, retesting, closure evidence, and risk-based escalation.
- Experience coordinating business users, subject-matter experts, developers, data engineers, architects, platform teams, and third-party vendors through SIT, UAT, and end-to-end testing.
- Ability to establish testing structure where processes, ownership, requirements, or environments are still developing.
- Strong written and verbal communication skills, including communicating data and testing issues to non-technical stakeholders and summarizing readiness, defects, and residual risks for senior stakeholders.
- Strong documentation discipline and ability to maintain traceable, review-ready, and audit-ready testing records and evidence.
- Experience working in regulated financial-services environments and handling sensitive financial, risk, tax, and customer data.
- Working knowledge of Agile and traditional delivery methods and test-management tools such as Azure DevOps Test Plans/Boards, Jira, ALM, qTest, or comparable platforms.
- Working knowledge of SQL or equivalent data-query techniques for validating datasets, transformations, and reconciliations.
Preferred Qualifications
- Experience testing U.S. regulatory reports, particularly Shared National Credit (SNC), regulatory finance, or risk reporting.
- Experience with FRIDA or comparable enterprise Finance and Risk data platforms.
- Experience with Power BI or comparable business-intelligence platforms.
- Understanding of Finance and accounting data, including inventory, general ledger, Profit and Loss, Balance Sheet, product, counterparty, and reference data.
- Understanding of credit-risk and management-information concepts such as exposure, risk-weighted assets, risk appetite thresholds, country risk, sector risk, and credit-quality measures.
- Experience validating critical data elements, source-to-target mappings, data lineage, data-quality controls, and reconciliations across multiple upstream systems and product types.
- Experience planning or executing parallel runs, dry runs, regulatory submission rehearsals, reporting-cycle validation, or production aftercare.
- Experience with test automation or repeatable data-comparison approaches using SQL, Python, Power Query, Excel, or comparable tools.
- Familiarity with technology risk and control requirements for access, auditability, evidence retention, data downloads, security, resilience, and operational readiness.
- Relevant testing certifications such as ISTQB, Certified Software Test Professional, Agile testing certification, or equivalent practical experience.
ING is an equal opportunity employer and welcomes applicants from diverse backgrounds.