Junior Data Architect - mortgage loan data

About RiskSpanRiskSpan is a leading provider of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We work with banks, issuers of mortgage- and asset-backed securities, investment managers, servicers, and regulators to solve complex business challenges involving market risk, credit risk, operational risk, and IT strategy.Position SummaryWe are seeking a Junior Data Architect to join our team supporting risk analytics and data infrastructure for a leveraged loan portfolio. The ideal candidate will have a strong foundation in data architecture and a collaborative mindset to work across technical and business teams. This role will play a key part in the development of scalable, transparent, and robust data frameworks essential for valuation and risk modeling.Project entails transforming various data inputs (e.g. positions, curve) to feed a Numerix platform library for valuation and sensitivity analysis.  Output returned from Numerix will be stored and shared with downstream applications.Key Responsibilities

• Design and implement scalable data infrastructure supporting risk analytics for loan-level portfolios.
• Build and maintain normalized and version-controlled datasets with comprehensive metadata for modeling transparency.
• Collaborate with cross-functional teams to define data requirements and implement technical solutions.
• Translate complex business requirements into technical architecture and data models.
• Ensure efficient handling of structured data and its transformation across systems.
• Communicate effectively with technical developers and business stakeholders.

Technical Qualifications

• Strong understanding of data architecture concepts, especially in structured finance environments.
• Solid foundation in Python, including experience building reusable frameworks and tools.
• Exposure to grid computing and containerization technologies (e.g., Docker).
• Experience with metadata management and data dictionary mapping.
• Basic proficiency in SQL and familiarity with JSON data formats.
• Understanding of multi-threaded and parallel data processing techniques.
• Familiarity with AWS ecosystem services (e.g., S3, EC2, Lambda, Glue).

Business Knowledge

• General understanding of loan-level analytics and financial data workflows.
• Familiarity with financial modeling inputs including loan terms, market data, and holdings.
• Awareness of market data requirements for constructing yield curves.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Financial Engineering, or a related field.
• 1–3 years of experience in a similar role involving data architecture or risk analytics.
• Strong problem-solving skills and a collaborative, growth-oriented mindset.
• Demonstrated interest in finance and working with large, complex datasets.

Why RiskSpanRiskSpan offers the opportunity to work on impactful projects with a team of industry-leading professionals. We value initiative, collaboration, and continuous learning. Our inclusive culture welcomes diverse perspectives and fosters innovation. RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or protected veteran status and will not be discriminated against based on disability. Qualified candidates must be legally authorized to work in the United States without sponsorship.