Hybrid Data Analyst for mortgage domain chez RiskSpan
RiskSpan · Rosslyn-Arlington, États-Unis d'Amérique · Hybrid
- Senior
- Bureau à Rosslyn-Arlington
About RiskSpan RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We serve banks, issuers of mortgage- and asset-backed securities, asset managers, servicers, and regulators with cutting-edge technology and deep domain expertise across credit, market, and operational risk.
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Position Overview
We are seeking a highly experienced Data Analyst IV with strong technical acumen and a proven ability to translate complex business requirements into scalable data solutions. This role requires deep proficiency in Python, SQL, and AWS, with a focus on supporting large-scale database, ETL, and analytics initiatives. The ideal candidate will have a background in the full software development lifecycle (SDLC) and be able to lead data integration efforts, write detailed specifications, execute thorough testing, and drive data quality across projects.
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Key Responsibilities
· Analyze and translate high-level business requirements into detailed database and ETL specifications (including source-to-target mappings).
· Partner with business users and technical teams to gather and validate requirements for data ingestion and transformation.
· Support the design and documentation of data workflows, pipelines, and models across on-prem and cloud (AWS) environments.
· Write and execute SQL queries to perform data validation, profiling, and reconciliation.
· Lead user acceptance testing (UAT), including developing test cases, scripts, and results documentation.
· Document business processes and database functionality to ensure traceability and repeatability.
· Collaborate with ETL developers, QA teams, and business stakeholders to resolve data issues and ensure quality deliverables.
· Leverage testing tools such as HP Quality Center (or similar) for defect tracking and resolution.
· Provide senior-level support in escalating and resolving complex data issues across multiple projects.
· Mentor junior analysts and contribute to standards and best practices for data analysis across the organization.
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Required Qualifications
· Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field.
· 5+ years of experience in software development and data analysis, ideally within financial services or highly regulated environments.
· Expert-level SQL skills and experience querying large relational databases.
· Advanced Python scripting experience for data manipulation and analysis.
· Demonstrated experience working in AWS-based environments (e.g., S3, Redshift, Lambda, Glue).
· Strong understanding of SDLC and agile methodologies.
· Exceptional analytical and critical thinking skills with strong attention to detail.
· Excellent written and verbal communication skills for technical and non-technical audiences.
· Strong multitasking capabilities and ability to manage multiple projects and priorities in parallel.
· Familiarity with QA/test management tools such as HP/Mercury Quality Center or similar.
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Preferred Qualifications
· Professional certifications in AWS, Python, or data analytics.
· Experience in financial modeling, regulatory reporting, or risk analytics.
· Familiarity with BI/reporting tools (Tableau, Power BI) a plus.
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Why RiskSpan? Join a team that combines deep industry expertise with cutting-edge analytics to solve our clients' most complex challenges. At RiskSpan, we foster innovation, collaboration, and continuous growth.
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Equal Opportunity Employer RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer committed to hiring a diverse workforce and sustaining an inclusive culture. Qualified candidates must be legally authorized to work in the United States on an unrestricted basis.
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