• Design, build, and deliver high-quality features that drive customer and business impact • Work directly with customers to identify, ideate, and solve their most challenging problems • Collaborate cross-functionally with product, design, & GTM to turn complex problems into elegant, user-focused solutions • Balance iteration speed with long-term maintainability and system health • Continuously improve our tech stack, developer workflows, and reliability practices • Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence • Travel up to 25% of your time

• Support Cyber Operations Research and Development as the technical lead for production software development • Own the architecture, implementation, and delivery of the production pipeline • Lead a team of Senior Software Engineers in support of real world cyber operations • Establish and maintain disciplined software engineering practices • Collaborate with the program technical lead to translate research findings into production pipeline components

• Architect, implement, and optimize real-time streaming and media components using WebRTC, Mediasoup, FFmpeg, RTMP, and HLS • Design and maintain the video processing pipeline, focusing on quality, latency, and scalability • Collaborate with the team on full-stack application development using Node.js and Typescript to support the core media platform • Identify and troubleshoot complex issues related to media capture, encoding, transport, and playback across various platforms • Contribute to architectural decisions for streaming protocols, media servers, and cloud infrastructure • Write reliable, tested, high-performance media code and support continuous integration and deployment • Review code, share best practices, and mentor peers to strengthen the team’s technical culture • Stay informed on emerging development trends in the video/streaming space.

Role Description Portfolio BI’s flagship products and services, PBI Axiom, PBI Vector, and PBI Stratus, enable alternative asset managers to address their data challenges in analytics, workflow, governance, and security. We are hiring a Full Stack Quantitative Developer to design, build, and own end-to-end applications that support credit, private credit, structured products, and CLO businesses. This is a hands-on engineering role with quant DNA: - Write production code across the stack. - Model financial cash flows and risk. - Integrate market data and pricing services. - Partner directly with client solutions group, portfolio managers, risk, operations, and investor relations. You will work alongside the CIO and senior members of Business Technology to contribute to the modernization of the analytics and reporting platform: - Move legacy applications to a responsive, cloud-aware architecture. - Replace ad-hoc spreadsheets with auditable services. - Build the data and tooling layer that supports the firm’s various lines of business. You will also be expected to use AI coding assistants as a daily part of your workflow. Qualifications - Bachelor's degree (or higher) from a top-tier university in computer science, mathematics, physics, financial engineering, or another quantitative discipline. - 5+ years of professional software engineering experience, including production ownership of customer-facing or business-critical systems. - 2+ years working in capital markets, ideally at a hedge fund, asset manager, investment bank, or financial technology vendor. - Demonstrated success delivering full-stack applications end-to-end, from requirements through production deployment and support. Requirements - Strong proficiency in at least one of Python, C#/.NET, or TypeScript/JavaScript, and working competence in a second. - Backend: REST APIs, asynchronous services, and microservice patterns; Python or .NET/C# experience strongly preferred. - Frontend: modern JavaScript frameworks (React/Angular), responsive web design, HTML5/CSS, and cross-platform optimization for mobile. - Expert SQL (window functions, query tuning, set-based thinking); experience with NoSQL/document stores. - Comfortable with NumPy/pandas (or equivalent), basic statistics, fixed-income math (duration, convexity, OAS), and cash flow modeling. - Experience with Git (or TFS), CI/CD, DevOps, Confluence, unit and integration testing frameworks. - Experience deploying and operating services on Azure or AWS is a plus. - Tableau dashboard development or SSRS a plus. Benefits - This is a remote, contract role, in either of these locations: NYC / Dallas / Los Angeles. Key Responsibilities - Build full-stack applications across our credit, private credit, and structured products platforms. - Develop quantitative models and analytics for fixed-income and structured product valuation, cash flow projections, scenario analysis, and portfolio risk decomposition. - Integrate third-party systems including Geneva (portfolio accounting), market data vendors, CRM platforms, and administrative platforms. - Participate in the migration of legacy .NET/C# applications and SSRS reports to modern, scalable architectures. - Own data quality end-to-end - ingestion, normalization, validation, and lineage. - Build reporting and BI spanning Tableau dashboards, internal web tooling, investor reporting, and ad-hoc requests. - Translate business needs into engineering - gather requirements directly from PMs, analysts, risk, IR, and operations. - Ship like an engineer - write tests, use source control (GIT/TFS), open clean PRs, manage tickets in DevOps, and deploy through CI/CD. - Use AI coding assistants well - accelerate delivery, reduce boilerplate, and improve code quality. Approximate Time Allocation - 60% development - services, APIs, front-end, quant models, data pipelines. - 20% reporting and analytics development - Tableau, SQL, internal dashboards, investor / DDQ outputs. - 10% requirements gathering and analysis - partnering with the business. - 10% production support, code review, and mentoring.