BlackRock Services India Pvt Ltd

Quantitative Analytics Engineer, Vice President

BlackRock Services India Pvt Ltd
Mumbai/Bombay
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 6 yearsMin. 6 years

Job Description

Quantitative Analytics Engineer, Vice President

About this role

About this role 

 

About Quantitative Analytics Engineering 

BlackRock is one 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 onboarding 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. 

 

About the role 

 

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. 

 

About our team 

 

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 onboarding 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! 

 

Requirements 

You should be 

  • B.E/ B.Tech/ Masters in Computer Science or related field.  

  • Experienced in enterprise software development: 6+ years of hands-on Core Java experience. 

  • In-depth understanding of Java internals, memory and performance optimization and tools. 

  • Quantitative developer with practical experience working with numerical computer methods 

  • Prior experience working in investment management industry 

  • Ready to lead. Work experience where you were responsible for or owner of an application, project or component. Willingness and ability to provide tutoring and mentorship to less experienced team members. 

 

You are familiar with 

  • Java 17 

  • Basic knowledge of calculus and linear algebra 

  • Investment management business domain 

 

Nice to know 

  • Java and Python math modelling libraries  

  • Messaging systems like MQ or Kafka 

  • Google Protocol Buffers 

  • Unix systems (Red Hat, Ubuntu) 

  • Profiling tools (VisualVM, JProfiler). 

. 

 

 

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.

Experience Level

Executive Level

Job role

Work location
Work locationMU8-South (A) Wing, 7-10 Floor, Nesco IT Park Tower 4, Western Express Highway, Mumbai, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 6 years

About company

Name
NameBlackRock Services India Pvt Ltd
Job posted by BlackRock Services India Pvt Ltd

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