Scan your resume against ATS criteria for this Quantitative Analytics Engineer, Vice President role at BlackRock.
BlackRock is of the world’s preeminent asset management firms and an outstanding provider of global investment management, risk management, and advisory services to institutional, intermediary and individual investors around the world. Besides offering a range of investment solutions — from fundamental and quantitative active management approaches to highly efficient indexing strategies – BlackRock also provides direct access to its market leading analytic models by clients to its Aladdin Platform, an end-to-end portfolio management software solution.
The Investments and Trading Engineering (ITE) team builds and delivers Aladdin's industry-leading risk management, portfolio management, compliance and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk, liquidity and performance attribution models. BlackRock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on models maintained by QAE to identify investment opportunities, build portfolios and manage risk.
We invite experienced professionals to join QAE India as Senior Java Developers to contribute to the development of the next-generation portfolio risk analytics and modeling engine.
As part of a high-performing team, you will play a key role in transforming our portfolio risk analytics platform into a more scalable and modular architecture.
Your responsibilities will include designing new modules and APIs, as well as developing application servers that offer clients innovative methods for leveraging our analytics and models. You will provide technical leadership to junior team members and engage with users and stakeholders to gather and refine external client requirements. Additionally, you will collaborate closely with quantitative researchers and product managers at BlackRock to fully understand business use cases and identify opportunities to enhance operational efficiency on the newly developed platform.
We work in an integrated, agile team with a focus on quality of work validated through automated testing, and we value effective and clean code.
Our analytical models are the heart of BlackRock, having them delivered in a scalable and reliable way is a cross-team effort valued by all the parties involved.
Portfolio Risk Engineering is an established team of QAE with presence in Gurgaon, Mumbai, Budapest, New York and San Francisco.
We develop scalable, high throughput, analytical software for portfolio risk analytics.
Challenging the status quo is our norm, and we excel in building modern systems and innovative technology like microservice architecture. We are pioneers of the firm and early adopters of new tools and industry standards.
You’ll collaborate closely with quantitative researchers, product managers, and platform engineers to develop robust risk and optimization solutions.
Our dominant programming languages are Java and Python. We are passionate about what we do and hope you are, too!
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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.
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 experience here at BlackRock.
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
on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
At BlackRock, we are all connected by 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 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.
How to apply for Quantitative Analytics Engineer, Vice President at BlackRock?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
6+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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