About this role

Aladdin Investments and Trading Engineering is responsible for building and evolving technology that supports portfolio management, trading, analytics, and compliance workflows across global markets. Within Analytics & Compliance Engineering, the team develops highly scalable technology solutions that help investment professionals and compliance teams manage investment guidelines, regulatory obligations, analytics-driven workflows, and operational controls.

The Investment and Trading Compliance Engineering team delivers technology that supports compliance throughout the asset management lifecycle. These platforms help organizations monitor and manage adherence to client mandates, internal policies, and regulatory requirements through high-throughput rule-processing capabilities operating at enterprise scale. The team is modernizing these platforms through workflow-driven user experiences, resilient service architectures, and responsible AI capabilities that enhance productivity, decision-making, and operational efficiency.

Your Role and Impact

As an AI-Enabled Product Engineer, you will operate at the intersection of investment technology, compliance workflows, software engineering, and applied artificial intelligence. You will help shape the next generation of platform capabilities that support investment professionals, compliance specialists, and business stakeholders operating in complex global markets.

This role combines hands-on software engineering with technical leadership responsibilities. You will contribute directly to product delivery while driving adoption of AI-enabled engineering practices that accelerate development, improve quality, and increase operational effectiveness. Your work will influence both product outcomes and broader engineering practices across the organization.

Your Responsibilities

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

• Lead the design, development, delivery, and operational support of scalable full-stack product capabilities across Analytics & Compliance Engineering, providing hands-on technical leadership throughout the product lifecycle.
• Partner with product, engineering, compliance, and business stakeholders to define requirements, shape architecture, evaluate trade-offs, and align teams on technical direction and delivery plans.
• Apply AI-enabled engineering practices and embed responsible AI capabilities into products and services to improve productivity, automation, knowledge discovery, and decision-making.
• Build scalable, resilient, secure, and observable systems that balance performance, reliability, maintainability, and operational efficiency.
• Champion engineering excellence through automated testing, software quality practices, development operations, production readiness, and site reliability engineering principles.
• Mentor engineers, elevate technical standards, and contribute to a culture of innovation, accountability, collaboration, and continuous learning.
• Drive platform modernization initiatives that improve user experiences, operational controls, and business outcomes across investment and compliance workflows.

Your Experience

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related STEM discipline, or equivalent professional experience.
• 8+ years of professional software engineering experience delivering enterprise-scale applications and platforms in production environments.
• Demonstrated experience using AI-enabled engineering practices, intelligent development tools, and responsible AI techniques to accelerate software delivery and product innovation.
• Strong full-stack engineering expertise with modern application architectures, APIs, distributed systems, and large-scale platform design.
• Experience building and operating cloud-native platforms using modern infrastructure, deployment, observability, and platform engineering practices, including enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling.
• Experience in financial services, investment technology, compliance technology, or regulatory technology environments, with an understanding of controls-oriented workflows.
• Excellent communication, leadership, stakeholder management, and influencing skills, with the ability to explain complex technical concepts to both technical and non-technical audiences

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.