Jobs at BlackRock

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.

Support private markets and alternatives middle/back-office operations: reconcile IBOR data, manage settlements and exceptions, analyze legal documentation, engage with clients and counterparties, drive process automation, and maintain controls to mitigate operational risk.

Supports private markets and alternative investment operations through loan and trade settlements, IBOR reconciliation, exception management, documentation analysis, and discrepancy resolution. Works with clients, agents, borrowers, counterparties, and internal teams across private credit, project finance, real assets, CLOs, and syndicated loans. Leads process automation and control enhancements while maintaining regulatory compliance, accurate portfolio records, and high service standards.

Supports private markets and alternative investment operations, including loan and private market settlements, reconciliations, exception management, documentation analysis, and IBOR data integrity. Collaborates with clients, agents, borrowers, counterparties, and internal teams to resolve discrepancies, maintain controls, ensure regulatory compliance, and improve processes through automation. Requires strong knowledge of private credit, real assets, project finance, trading instruments, settlement processes, and investment management.

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.

Supports valuation governance for private equity, private debt, and alternative investments. Responsibilities include preparing valuation documentation, managing valuation cycles and third-party provider workflows, reviewing valuation templates and fair-value reporting, performing controls and reconciliations, interpreting legal documents, supporting valuation committees and audits, and improving platforms and processes. The role requires collaboration with investment, pricing, fund administration, audit, and valuation teams.

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.

Leads BlackRock’s asset reconciliation operating model across positions, cash, securities, derivatives, and counterparties. Owns risk and control frameworks, exception governance, remediation, service delivery, automation, data quality, and operational resilience. Partners with internal teams and external providers, communicates risks to senior management, and develops a high-performing team through coaching, succession planning, and resource planning. Uses operational metrics to improve accuracy, efficiency, audit readiness, and client service.

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.

Develop and deploy quantitative portfolio risk models and analytics, including factor models, VaR, volatility, covariance, stress testing, and scenario analysis. Lead model governance workstreams, enhance model testing frameworks, build research platforms, support model backtesting and validation, and collaborate with researchers, engineers, stakeholders, and clients. Present model methodologies and analytics while ensuring scalable implementation and adherence to governance standards.

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.