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.

• Contribute to the design, development, and maintenance of scalable and performant solutions for experimentation and data-driven products, with attention to usability and maintainability • Collaborate with senior engineers on architectural decisions that impact system scalability and performance • Lead limited scope features from definition to deployment • Help identify and troubleshoot performance issues and participate in efforts to optimize service reliability • Work closely with product managers, engineers, data scientists, and designers to implement new features and iterate on existing functionality • Participate in code reviews to support code quality and share constructive feedback with teammates • Write clean, maintainable, and well-tested code that enhances the reusability and readability of team systems • Contribute to the team’s efforts to improve observability, monitoring, and operational excellence • Help investigate and resolve production issues, occasionally partnering with customer support or other teams as needed • Collaborate across functions to align on priorities, surface blockers, and improve team workflows • Learn from and support more senior engineers, and contribute to a culture of growth, inclusion, and continuous improvement • Stay current with industry trends related to software development, experimentation, and backend technologies • Demonstrate curiosity, creative thinking, and a proactive mindset in problem-solving

• Build and scale core exchange infrastructure - order matching, trade execution algorithms, and the data structures that underpin them • Build APIs and data feeds that clients depend on - REST, FIX, WebSockets - and make them fast and reliable • Design robust clearing infrastructure, position management, margining, and how money actually moves. • Drive technical relationships with our customers (market makers, traders, etc.) • Hunt down performance bottlenecks - in databases, internal services, and anywhere latency is costing us • Put systems under pressure before production does - rigorous testing of the things that can't go down • Help invent what prediction market structure looks like beyond what exists today - new contract types, new mechanics, etc. • Move fast, make calls, and own the outcome - we give real autonomy, which means real accountability.

• You will work on building the best solution for sharded Postgres, a project we're calling Neki: https://www.neki.dev/ • You will design and build critical systems that power PlanetScale's database platform, serving millions of queries per second for some of the world's largest applications. • You will collaborate with a team of expert engineers to solve complex distributed systems challenges. • You will work independently to solve engineering and business problems with little direction and high autonomy. • You will work directly with customers to understand their needs and translate them into robust technical solutions.