Blackstone Credit & Insurance – Infrastructure and Asset Based Credit, Quant Senior Associate
$140,000–$185,000 year
On-siteNew York, United States
Job Summary
Map complex cross-functional processes across the residential mortgage loan lifecycle to identify automation and scaling opportunities. Design and implement strategic technology solutions, including data pipelines, APIs, and workflow automation, to support loan acquisition, financing, servicing oversight, and portfolio management. Coordinate projects across investment professionals, operations, and central technology teams to translate business requirements into technical specifications and drive delivery from concept through production. Build and maintain the data infrastructure powering reporting and analytics for the residential mortgage business while establishing engineering best practices for code quality and scalability. Partner with central Technology and Data teams on system architecture and integration with firm-wide platforms.
Required Qualifications
- Degree in computer science, software engineering, or a related technical/engineering field
- At least 3 years of professional experience as a software developer/engineer, ideally building and shipping production systems in a fast-paced environment
- Strong programming skills in a general-purpose language (i.e., Python, C++, C#, or Java), along with proficiency in SQL and relational databases
- Hands-on experience designing and building data pipelines, APIs, and/or internal applications end-to-end
- Familiarity with cloud infrastructure (e.g., AWS or Azure) and modern software engineering practices, including version control, CI/CD, and automated testing
- Demonstrated understanding of and experience mapping complex business processes into well-designed technical solutions
- Capable of coordinating across teams and stakeholders and to manage multiple projects to successful completion
- Strong written and verbal communication skills, and can work effectively alongside non-technical partners
- Intellectual curiosity, strong work ethic, good professional judgment and a positive attitude
- Effective in both independent and collaborative work environments
Desired Qualifications
- Strong skills in statistics, data science, and/or machine learning
- Prior experience in financial services, credit, structured finance, or mortgage / real estate finance
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