Jobs at BlackRock

Lead architecture and development of a scalable, event-driven client reporting platform. Drive microservices, APIs, data systems, observability, and AI-assisted engineering practices while managing global teams and stakeholders.

Design, develop, and deliver AI-based technical solutions on the Aladdin platform. Build scalable services and prototypes using Python, Java, containers, and open-source AI frameworks. Work in an agile, distributed team with product managers, designers, and users to solve complex problems, optimize processes, and contribute to open-source.

Design and implement scalable portfolio risk analytics and modeling services using Java and Python. Lead technical design, build application servers and APIs, optimize performance, mentor junior developers, collaborate with quantitative researchers and product managers, and deliver high-throughput, test-validated solutions for Aladdin clients.

Build and maintain data transformations and analytics-ready datasets; develop dashboards (Sigma/Power BI); support semantic modeling, integrate third-party data, prepare inputs for AI-enabled analytics, translate business requirements, and perform ad-hoc analysis and data validation for portfolio management, risk, operations, finance, and investor relations.

Design, develop, test, deploy, and maintain cloud data platform components and automated pipelines using Airflow, Python, Snowflake and dbt; support teams, ensure performance and scalability, perform root-cause analysis, and provide L2/L3 operational support within Agile SDLC.

Perform monthly and quarterly fund accounting close, NAV and partners' capital statement review, capital call/distribution calculations, expense and accrual oversight, GAAP financial statement preparation, reconciliations with internal teams and third-party administrators, and ad hoc reporting and fund setup support.

Lead product strategy and execution for the Enterprise Data Platform's Unstructured Data domain. Define roadmap, manage end-to-end product lifecycle, partner with engineering and UX, drive adoption and go-to-market, measure performance with KPIs, and mentor product managers in a scaled agile, global environment.

Lead strategic finance for firm-wide forecasting, board reporting, and analytics; partner with JioBlackRock leadership on finance setup and capital planning; deliver data-driven insights, automate reporting, manage a high-performing team, and drive select strategy and tech transformation projects.

Lead and own the end-to-end asset reconciliation operating model, risk and control framework, and strategic transformation to improve automation, data quality, and operational resilience. Oversee exception resolution, governance, service levels, stakeholder engagement, and talent development to ensure scalable, timely, and auditable reconciliation across multiple asset classes.

The role involves leading DevOps initiatives, ensuring reliability and risk management for enterprise-scale operations, and integrating AI-driven systems for optimization and resilience.

Lead third-party data vendor oversight and lifecycle management for ESG, Index, Pricing, and Economic data. Define processes, measure vendor data quality, manage change and issues, liaise between vendor SMEs and internal data stewards, design data quality checks and KPIs, and partner with product, technology and business stakeholders to align data capabilities with client needs.

Lead global Portfolio Management Services Engineering to modernize Aladdin platforms for scale, resilience, and performance. Define technology strategy, drive architecture and delivery, build and develop engineering leadership, partner with product and investment teams, and ensure operational excellence across mission-critical portfolio management services.

Lead AlphaGen Product Engineering to modernize research workflows into a cloud-native, AI-first platform. Own multi-year transformation, partner across product, platform, risk and security, build self-service research-to-production tooling, shape compute/runtime and observability, drive legacy retirement, and deliver measurable enterprise outcomes through executive alignment and strong people leadership.

Deliver customized portfolio risk and performance reports for financial advisors, customize model portfolios, analyze product performance and market data across asset classes, support ad-hoc reporting, document processes, and drive automation and efficiency improvements while meeting quality and timeline standards.

Lead and execute QA strategy with an automation-first, AI-enabled approach across UI, API, and backend layers for asset-management systems. Design and evolve test frameworks, embed AI for test generation and triage, enable cloud-native and distributed-system testing, ensure regulatory and audit readiness, and lead global QA teams while partnering with product, engineering, and platform functions.

Lead design and delivery of scalable data and applied AI platforms: drive AI roadmap, build multi-agent/LLM workflows, productionize RAG/vector search, enforce engineering and responsible-AI standards, integrate with backend/data pipelines, and hire/mentor a high-performing engineering and applied-AI team to enable enterprise adoption.

Develop and maintain responsive frontend and backend web applications. Build UIs with modern web technologies (React/Angular), design server-side services/APIs, work with SQL/NoSQL databases, apply CI/CD and version control, debug and optimize performance, participate in code reviews and testing, and collaborate with product and design teams.

Source, evaluate and manage private credit investments by conducting due diligence, structuring bespoke lending solutions, and monitoring portfolio performance to optimize returns and manage risk.

Lead client servicing and project management for implementations, deliver solutions to business problems, and collaborate with product managers and engineers.

Design, develop, and maintain software components and validation frameworks. Create and execute test plans, identify and track defects, support automation and regression testing, collaborate with stakeholders, monitor application behavior, and contribute to QA standards using tools like Git and test automation frameworks.