Senior Architect & Full Stack Developer - Front Office Technology We are seeking a Senior Architect and Full Stack Developer to join our Front Office Technology team. This role directly supports our Structured Credit and Specialty Finance trading desk. You will work closely with traders and business users to design, build, and maintain robust, high-performance technology platforms that drive valuation, trading workflows, performance tracking, and asset surveillance. Principal Responsibilities Platform Ownership: Manage and enhance asset management analytics and performance reporting platforms. Workflow Automation: Collaborate with business users and technical peers to design and automate front-office workflows. End-to-End Delivery: Design and deliver full-stack solutions, encompassing front-end interfaces, back-end architecture, and deployment pipelines. Data & API Optimization: Review and optimize downstream/upstream data workflows and API integration solutions. Reporting Services

Develop and support critical reporting services for both internal and external deliverables. Production & Desk Support: Manage releases, provide production support for applications, and deliver quantitative support for the daily trading desk risk reports. Technical Requirements Front-End Development: Hands-on web development experience with JavaScript frameworks (specifically Angular), HTML, CSS, and modern web UI layout packages. Back-End & Scripting: Proficiency in C#/.NET (.NET Core), Python, and Node.js configurations. Cloud & DevOps: Practical experience with Docker, Azure, Git, DevOps, CI/CD pipelines, and VS Code. Data & Analytics: Familiarity with Power BI, Analysis Services, MS Azure Databricks, and Notebooks. Databases: Strong database design, querying, and performance-tuning experience with SQL Server or equivalent platforms. Tools: High fluency in Excel for data analysis, fixed-income pricing, and risk attribute tracking. Domain Expertise & Qualifications Fixed Income Knowledge: Strong background in fixed income, whole loans, or structured credit. Financial Datasets: Experience working with Portfolio Management, Mortgage, MBS, CMBS, or Loan datasets. Industry Tools: Familiarity with Bloomberg, Intex (Bond/Loan Level Pricing/Cashflow analysis), CoreLogic, and Agency Loan datasets. Collateral Analytics: Understanding of ABS/RMBS collateral deal performance metrics and third-party risk/pricing libraries. Experience & Soft Skills Experience Level: Typically 7-12 years of relevant experience, but open to high-achieving candidates with a minimum of 5 years of domain-specific experience. Education: Degree in Computer Science or a related technical field; financial certifications are a plus. Leadership: Proven ability to lead technical design and resolve complex architecture issues independently with minimal oversight. Execution: Comfortable operating in a fast-paced, tactical environment and managing multiple urgent projects simultaneously. Communication: Exceptional communication skills with the ability to interact effectively with traders, portfolio managers, and executives. Preferred Background: Prior experience within financial services, private equity, hedge funds, or investment banking front-office teams.

We are a leading investment management firm specializing in fixed income, structured credit, and specialty finance. Known for our analytical rigor and disciplined approach, we manage capital for institutional investors globally. Our technology team isn’t a back-office support function-it is a core competitive advantage. We invest heavily in our people and our tech stack, offering a collaborative environment where technical experts work side-by-side with market-leading portfolio managers and traders., Direct Desk Impact: Your code directly drives trading decisions, valuations, and revenue generation every day. Modern Tech Stack: Build end-to-end solutions using Angular, .NET Core, Python, Azure, and Databricks. High Visibility: Work side-by-side with traders, portfolio managers, and executives in a flat structure. Complex Challenges: Solve sophisticated quantitative and architectural problems using massive financial datasets. Fast-Paced Innovation: Skip the corporate red tape with rapid deployment cycles and tactical execution. Elite Peer Network: Collaborate with top-tier financial professionals and senior technologists in structured credit.

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