Job
Description
Key Responsibilities End-to-End Ownership Architect, develop, and maintain full-stack systems with a focus on modularity, performance, and testability. Balance technical trade-offs, present design options, and align with long-term platform goals. Front-End Engineering Build dynamic, performant UIs using React, TypeScript, and modern state management . Create reusable components and design systems that enable self-service analytics and intuitive user flows. Back-End Engineering Design robust services using Java 8+, Kafka, and REST APIs to support data processing, aggregation, and computation. Implement efficient data access patterns and schema design for analytical workloads (SQL, Snowflake). Quantitative Domain Integration Work alongside quant researchers and risk experts to productize complex financial models. Build tools to visualize, audit, and troubleshoot model outputs and portfolio analytics. DevOps Quality Write thorough unit and integration tests (Jest, Enzyme, JMockit). Participate in CI/CD pipelines and help maintain a culture of operational excellence. Team Collaboration Operate in an agile environment with stakeholders across time zones. Mentor junior engineers and contribute to continuous improvement in engineering practices. What We re Looking ForCore Skills: Frontend: 5+ years with React, TypeScript, ES6+, CSS/SCSS, Bootstrap (or equivalents). Backend: Deep knowledge of Java (Java 8+), REST APIs, Kafka, Maven. Database: Proficiency with SQL, schema design, Snowflake (preferred), performance tuning. Testing: Solid grasp of modern testing tools and philosophies (Jest, Enzyme, JMockit). DevOps: Git, shell scripting, CI/CD pipelines, basic containerization knowledge. Bonus Points For: Python for scripting or quick data modeling. Knowledge of financial modeling concepts, especially around fixed income or derivatives. Experience with scalable data systems and distributed computing patterns. Familiarity with modern UI/UX principles and accessibility practices. Why Join BlackRock Impact the core infrastructure powering global financial analytics and decisions. Work on deep technical problems with direct business relevance. Be part of a team that invests in your learning, mentorship, and career development . Collaborate across disciplines engineering, data science, and finance to build world-class tools.
