You will be taken to BlackRock’s own careers page to apply. Job ID R266321.
Job description
About this role
Are you interested in building innovative technology that shapes financial markets? Do you like working at the speed of a startup but want to tackle some of the world’s most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance? BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Job Purpose/Background:
The Quantitative Analytics Engineering (QAE) is responsible for the development of financial models underpinning the risk management analytics produced at BlackRock. The group also contributes to the development of infrastructure and applications responsible to produce analytics and the delivery of analytic content to risk management professionals. If any of this excites you, we are looking to expand our team. We are rebuilding our Analytics and Modeling Technology platform using multiple technologies (Java, Python), and this is the best time to join the team if you want to influence software design, architecture, fundamental platform solutions, and transform the way we deliver Analytics to our clients! QAE is looking for a Senior Java developer who can work out of BlackRock office with other quant and application developers in the broader team.
Role Responsibilities
As a Java Developer, you will be a key member of the QAE team, mostly responsible for the design and build of scalable and modular software components for quantitative analysis and financial modeling. Implement analytics for performance and risk engines, and variable high volume data processing pipelines.
Work closely with quantitative analysts, modelers, and other developers to understand requirements and integrate quantitative models into the software ecosystem.
Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into applications.
Enhance the performance of existing models, ensuring they operate efficiently at scale.
Proactive participant in architectural and design decisions
Facilitate design and code-review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.
Adopt AI-assisted engineering tools to improve delivery speed and quality, with appropriate controls
Additional core engineering functions, such as:
Contributions to the application code base.
Build widely used and reliable fundamental components.
Anticipate new opportunities to continuously evolve the resiliency profile of scoped Applications and Architectures.
Skills/Qualifications
B.Tech / M.S. degree in Computer Science, Engineering, or a related discipline
Minimum 7+ years of experience in Java-based full scale production software development and design
Excellent analytical, problem-solving, and production troubleshooting skills
A passion for providing fundamental software solutions for highly available, performant full stack applications with a “Student of Technology” attitude
Experience with software testing and ambition for providing high quality products
Passion to work in a team-environment, multitasking, and effective communication skills
Knowledge of software development methodologies (analysis, design, development, testing) and basic understanding of Agile / Scrum methodology and practice
AI tools adoption: experience using AI assistants (e.g., coding copilots) for development, troubleshooting, and documentation, with strong awareness of data privacy, IP, and responsible use
Ability to work independently and efficiently in a fast-paced and team-oriented environment
Good to Have
Understanding of Agile work environments, including knowledge of GIT, CI/CD.
Knowledge of investment management process, portfolio risk analytics.
Nice to have but not required: experience with distributed systems, high performance computing, Microsoft Azure is a big plus.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
