Austin Tech Jobs and Startup Jobs

4

Senior Software Engineer

realtor.com
Austin
2 days ago
+14
Build full stack React/Redux applications that talk to Python API services. Deliver new features to our iOS and Android mobile app using React Native. Build backend services around advanced machine learning and predictive analytic models. Design and operationalize data pipelines using advanced data architectures deployed on Amazon Web Services. Optimize our developer toolchain to support instant provisioning of new services and infrastructure, fully automate deployment, and minimize development friction.

Full Stack Software Engineer - Enterprise Partner…

OJO Labs
Austin
4 days ago
+55
Be part of a talented engineering team to build a compelling digital experience that engage with home buyers who are in the process of making important purchasing decisions. Write code, write a lot of code, write better code while you are at it. Participate in building a strong culture that values learning and collaboration.

Senior/Staff Full-Stack Software Engineer

Juniper Square
Austin
1 week ago
As a full-stack engineer at Juniper Square, you will collaborate with the product and engineering teams to build, test and deliver new features, from defining database schemas, to implementing the business logic, to building the UI.

Risk and Optimization Modeling Consultant

Realized
Austin
2 weeks ago
+21
Research and provide guidance on the advantages and disadvantages of existing and potential risk/return frameworks, consistent with best practices used in other asset classes.  Work with Company’s analysts to design, develop and validate methods and models that quantitatively assess investment risks for US commercial real estate metros, submarket, and property types. Work with Company’s analysts to design, develop and validate quantitative models that assess the market, credit and/or operational risks of new and existing financial products. Work with Company’s analysts to design, develop and validate intra-asset and inter-asset portfolio optimization methods and models. On-going testing of output from models, as well as consultation with practitioners, the academic community, and financial institutions in support of the company's risk management efforts. Critically review the underlying theory, assumptions, limitations, implementation, and performance of the methodology and models. Provide on-going guidance and effort to ensure that the application of statistical concepts are appropriate, accurate, and meaningful.  Review model documentation (methodology guide, user guide, policy documents, etc.).

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