State: Remote

We are seeking a Senior Data Architect. Responsibilities: Create and maintain data architecture designs that support business and technical requirements for high-quality, performant data solutions. Implement data modeling standards and ensure adherence within data management solutions. Research and recommend tools and services to improve data management processes and support architectural standards and patterns. Participate in […]

Requirements: ·        Bachelor’s degree in computer science or related field. ·        5+ years of Python development experience. ·        Full-stack developer with experience in developing production-ready web applications (database, backend, and frontend). ·        Proficiency with Python and frameworks like Django, Dask, and/or Flask. ·        Proficiency with web API development (e.g. REST). ·        Proficiency with JavaScript and js frontend frameworks. ·        Experience with Docker / VM / Automation. ·        Experience with implementing security controls in web applications. ·        Experience developing and using RESTful web services and JSON or XML objects for communication. ·        Experience with DevOps, AWS, Postgres, Redshift, and S3.

Our client is seeking a Financial Data Modeler. Responsibilities: Understand structured finance transactions and loan securitizations, and understand how such transactions are modeled in Python and R. Execute proprietary in-house forecasting, pricing and NPV/discounted cashflow models developed in Python and R and analyze results. Measuring and monitoring credit risk on a large housing finance and credit guarantee book of business. Understand and assess input data including lineage, transformations, and versions, and how changes to data drive changes in forecasts. Analyze forecasts and implications interest rates and housing prices. Participate on a team developing, executing, validating, and documenting proprietary valuation models and property price indexes. Execute deterministic what-if scenarios thru proprietary tools to understand impact on client’s book of business. Synthesize results and document methodology in brief memos. Understand, measure, communicate and document modeling assumptions, output transformations, and other modeling components drive the results of various analyses. Qualifications: Master’s in Financial Engineering, Quantitative Analytics, or Economics is preferred. Minimum of 3 years of financial modeling in large scale enterprises. Experience developing and running financial models written in Python and R on AWS is required. Experience analyzing large datasets (10mm+ observations) using Python or R on AWS is required. Deep knowledge of SQL is required. Knowledge of GSE multifamily lending business, underwriting requirements, multifamily securitizations, or GSE regulatory capital framework is preferred. Experience communicating complex financial results to management with presentations or memos.