About this role
About this Role
Elevate your career by joining the world's largest asset manager! Thrive in an environment that fosters positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and effectively engage your involvement in our success.
You can work at one of the world’s top FinTech companies. We sell our Aladdin analytics platform to over 100 of the top global financial institutions and corporations, handling many trillion USD of assets.
You can help build quantitative financial models and portfolio analytics that directly help the trading desks manage most of the money of the world’s largest asset manager.
You can bring all yourself to the job. From the top of the firm down we embrace the values, identities and ideas brought by our employees.
We are looking for curious people with a strong background in writing excellent code, awesome problem-solving skills, insatiable appetite for learning and innovating, adding to BlackRock’s vibrant tech culture.
If any of this excites you, we are looking to expand our team. We currently have open roles in the Investment and Trade Engineering (Quant Analytics Eng.) team within the Aladdin Engineering (AE) in Mumbai.
Aladdin Engineering (AE)
AE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics. We are responsible building and delivering Aladdin's industry leading risk management, portfolio management, compliance and trading capabilities through robust, scalable infrastructure. We are also involved in quantitative engineering with keen focus on financial model implementations across different areas – single-security pricing, prepayment models, risk, return attribution, liquidity and trading, optimization and portfolio construction, scenario analysis and simulations, etc. – and covering all asset classes. The QAE team partners very closely with the IAI ( Investment AI) research team and is also looking to be at the fore front of cutting edge AI engineering.
Background and Responsibilities
We are seeking looking for a talented, self-starter Quantitative Developer based out of Mumbai who can contribute to the development of our analytical solutions and its supporting real time infrastructure that directly supports the trading desk. Our team uses multiple technologies and frameworks (Java/J2EE, Spring, Python, Spark, gRPC, RESTful) to provides stable, scalable platform with appropriate standards and procedures to support the diverse nature and demands of a wide range of investment teams and clients.
Qualifications:
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BE/BTech degree in Computer Science or related field. An advanced degree is a plus.
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Minimum of 4-6 years demonstrated experience in core Java programming, multi-threading and understanding of Java Memory model. Practical experience programming and code optimization for real-time data streams processing.
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Solid understanding of the software development lifecycle and tools. Agile, AzureDevOps/Jira, Git, CI/CD
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Hands on working knowledge of Python is a plus.
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Familiarity with Big Data technologies for distributed computing including Scala/Spark Cassandra/SOLR/Ignite is a plus.
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Understanding of distributed caching and microservice architecture is a plus.
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Strong knowledge of financial concepts related to various asset classes and quants related to Portfolio & Liquidity Risk is a plus
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Previous experience with Cloud infrastructure (GCP, AWS, Azure) and working for top Tech companies is a big plus.
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Experience with UNIX operating system and relational databases.
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Ability and willingness to learn fast, multi-task, self-motivate and pick up new things easily
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Ability to work independently and efficiently in a fast-paced and team-oriented environment.
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.
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
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.
