Lead QA Engineer - contractor

RiskSpan

10d

About The Position

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the consumer and institutional finance industries. We solve complex business problems for clients including banks, mortgage-backed and asset-backed securities issuers, portfolio managers, servicers, and regulators. Our expertise spans market risk, credit risk, operational risk, and financial technology. We are seeking an experienced QA Lead to ensure that complex, data-driven financial systems meet rigorous quality standards. This role requires a strong foundation in software testing, data validation, and investment domain knowledge. You will play a critical role in early bug detection, root cause analysis, and ensuring smooth delivery of high-impact financial features.

Requirements

3-5 years of experience in quality assurance, with a focus on data-intensive applications.
Strong understanding of testing methodologies and SDLC best practices.
Proficiency in SQL and working with large financial datasets.
Foundational understanding of fixed income instruments (Bonds, MBS, ABS), mortgage loans, equities and derivatives.
General familiarity of terms and conditions related to financial products.
Demonstrated experience using agile methodology tools (Azure DevOPS, Jira)
Proficiency in utilizing SnowFlake data warehouse.
Ability to perform root cause analysis and trend identification.
Strong data reconciliation and financial impact analysis capabilities.
Critical thinking and precision in problem-solving and documentation.
Strong Excel skills.
High attention to detail.
Strong communication and documentation skills.
Ability to work effectively under time-sensitive cycles (e.g two week Sprints).
Proactive attitude with a commitment to continuous learning and process improvement.

Nice To Haves

Familiarity with DBT.
Exposure to Ctrl-M or any other orchestration tools.
Experience with investment accounting systems.
Knowledge of Python for adhoc testing / data validation.

Responsibilities

Define and implement test strategies, including planning, execution, and reporting.
Lead functional, integration, regression and UAT testing efforts.
Manage defect lifecycle, root cause analysis, and communication of business impact.
Document and maintain comprehensive test cases and test scripts.
Perform SQL-based data testing, including joins, aggregations, and large dataset validation.
Validating Power BI reports against underlying data.
Integrate and execute tests within CI/CD pipelines (e.g. Azure DevOps).
Conduct data analysis and data lineage
Identify patterns in recurring bugs to drive long-term solutions.
Collaborate closely with product managers, developers and analysts to ensure requirements are met.
Support internal controls, audits, and regulatory reviews through detailed documentation and validation.
Use DBT to perform testing.