Quantitative Analytics Engineer, Vice President
BlackRock
Mumbai, IndiaPosted 2 months ago
Skill Required
Analytics Engineeranalyticsrelated fieldEngineeringR ProgramminganalyticaldevelopingJavadesigningsecuritybuildingQuery OptimizationTestNGPythonLinuxKafkaAgileAPIsSassandAIFulltime
Key highlights
- 6+ years of hands‑on Core Java experience.
- Senior Java Developer position in QAE India.
- Hybrid work model: at least 4 days in office and 1 day remote per week.
- Flexible Time Off (FTO) and comprehensive healthcare.
- Strong retirement plan and tuition reimbursement.
- Prior investment management industry experience required.
Role overview
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.
Responsibilities
- Design new modules and APIs.
- Develop application servers that offer clients innovative methods for leveraging our analytics and models.
- Provide technical leadership to junior team members.
- Engage with users and stakeholders to gather and refine external client requirements.
- 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.
- Work in an integrated, agile team with a focus on quality of work validated through automated testing.
- Collaborate closely with quantitative researchers, product managers, and platform engineers to develop robust risk and optimization solutions.
- Develop scalable, high‑throughput analytical software for portfolio risk analytics.
Requirements
- 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.
- Familiar with Java 17.
- Basic knowledge of calculus and linear algebra.
- Familiar with investment management business domain.
Nice to have
- Java and Python math modelling libraries.
- Messaging systems like MQ or Kafka.
- Google Protocol Buffers.
- Unix systems (Red Hat, Ubuntu).
- Profiling tools (VisualVM, JProfiler).
Benefits
- Strong retirement plan.
- Tuition reimbursement.
- Comprehensive healthcare.
- Support for working parents.
- Flexible Time Off (FTO).
- Hybrid work model: at least 4 days in the office per week and 1 day remote.
Additional details
- BlackRock is a leading global asset management firm providing investment, risk management, and advisory services to institutional, intermediary and individual investors.
- Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for implementing security valuation, portfolio risk, liquidity and performance attribution models.
- Portfolio Risk Engineering team has presence in Gurgaon, Mumbai, Budapest, New York and San Francisco.
- The team builds modern systems, adopts microservice architecture, and uses Java and Python as dominant programming languages.
- BlackRock values clean, effective code and automated testing to ensure quality.
- Guidance on AI use for candidates: candidates may use AI thoughtfully during preparation but interview focuses on personal experience and judgment.
- BlackRock is an Equal Opportunity Employer and encourages connection via LinkedIn, Instagram, YouTube, X, and TikTok.
- The company’s mission is to help people achieve financial well‑being through investment solutions and employee development.