Jobs at BlackRock

Supports private markets and alternative investment operations through loan and private market settlements, reconciliations, exception management, documentation analysis, and client service. Maintains IBOR data integrity, investigates cash and position discrepancies, supports regulatory controls, and leads process automation and efficiency initiatives. The role requires strong knowledge of private credit, real assets, project finance, trading instruments, and settlement processes, along with advanced Excel skills and the ability to manage multiple priorities.

Supports private markets and alternative investment operations through loan and trade settlements, reconciliations, exception management, documentation analysis, IBOR data integrity, client service, and operational controls. The role investigates cash, position, and transaction discrepancies, facilitates complex private market transactions, maintains regulatory compliance, and leads process automation and control enhancements. It requires strong knowledge of private credit, real assets, project finance, banking, investment management, and settlement processes.

Support investment accounting platform migrations for insurance clients by onboarding assets, analyzing variances, stabilizing monthly close processes, and transitioning clients to production support. Operate and improve proprietary accounting software, assess data flows from transactions through journal entries and reporting, collaborate with product and engineering teams, communicate regulatory implications, and enhance controls, reporting processes, and operational efficiency.

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.

Deploy and onboard structured and unstructured data products onto BlackRock’s Data Platform as a Service. Responsibilities include defining schemas, ownership, SLAs, quality, and governance; troubleshooting pipelines; developing reusable ingestion connectors, templates, and accelerators; supporting platform engineering; enabling partner teams through workshops and documentation; and contributing AI-assisted onboarding workflows using schema inference, metadata mapping, agents, and automation.

Support trade settlement and reconciliation for private markets and loan products. Analyze legal documentation, resolve cash/position discrepancies, maintain IBOR accuracy, drive process automation and control improvements, and manage client relationships and multiple projects in a fast-paced middle-office environment.

Design and build scalable Java software components for quantitative analysis, financial modeling, risk engines, and high-volume data pipelines. Integrate quantitative models into production systems, improve model performance, participate in architecture and design decisions, conduct code reviews, and develop reliable, resilient applications. Collaborate with quantitative analysts and developers while adopting AI-assisted engineering tools and software testing practices.

Manage fund cash operations, including wires, intercompany transfers, FX settlements, margin calls, swaps, liquidity analysis, bank accounts, and cash reconciliations. Resolve complex cash breaks, coordinate with administrators, trustees, and auditors, support process automation and technology testing, and lead special projects. The role requires strong Excel, reconciliation, analytical, organizational, leadership, and fund cash management skills.

Analyzes investment accounting data, prepares and reviews client accounting packages and reporting schedules, performs NAIC reconciliations and exception reviews, supports audits, responds to client inquiries, and ensures reporting complies with applicable accounting standards. The role also contributes to special projects, process improvements, data-quality controls, and technology enhancements while managing multiple deadlines and client relationships.

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.

Leads architecture, engineering strategy, modernization, and delivery for enterprise-scale application and data platforms supporting global post-trade operations. Guides distributed systems and integration design, establishes standards for resilience and security, translates business priorities into technology roadmaps, manages strategic trade-offs, and develops senior engineering talent. The role also drives AI-enabled engineering and automation while maintaining governance and operational excellence.

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.

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.

Support private credit valuations by onboarding investments, performing monthly and independent valuations, maintaining financial models, preparing portfolio review materials, and liaising with internal and external stakeholders.

Leads a team of full-stack engineers while setting technical strategy, architecture, and roadmaps for enterprise portfolio design platforms. Drives delivery of scalable Python and Angular or React applications, engineering best practices, operational resilience, and Agile execution. Leads adoption of applied and generative AI, including intelligent workflows, automation, responsible AI governance, and AI-assisted development. Partners with business and technology stakeholders, mentors technical leaders, and delivers innovative solutions that improve advisor engagement, productivity, and client experiences.

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.

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.

Designs and develops generative AI and machine learning solutions for fixed income investment and business problems. Builds and fine-tunes models, analyzes structured and unstructured data, engineers features, evaluates performance, and supports deployment through APIs and scalable pipelines. Collaborates with portfolio managers, researchers, data engineers, and stakeholders while applying responsible AI principles, data governance, and clear communication of insights.

Oversee fund accounting, valuation, reconciliations, performance measurement, expenses, product data, regulatory costs, and disclosures. Support fund and share-class launches, resolve data discrepancies with internal and external stakeholders, and ensure compliance with applicable fund regulations. Lead holdings and market-value reconciliations using Aladdin, identify cost and data trends, improve controls through automation, and support testing, implementation, and training initiatives.

Build and own scalable Snowflake data infrastructure, ETL pipelines, curated datasets, and data quality frameworks supporting financial analytics. Partner with modeling experts to translate requirements into production-ready designs, optimize performance and costs, standardize deployments, and meet SLAs. Use AI-assisted engineering tools responsibly for coding, testing, troubleshooting, and documentation while maintaining privacy, security, and governance standards.