Black Rock Hiring For Java Quantitative Engineering Analyst: Black Rock is hiring candidates for the role of java quantitative engineering analyst. Below is the detailed job description.
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About Black Rock
An American international investment firm is called BlackRock, Inc. With US$10 trillion in assets under management as of December 31, 2023, BlackRock—the largest asset manager in the world—was first established in 1988 as an enterprise risk management and fixed income institutional asset manager. BlackRock has 78 locations in 38 countries, with its headquarters located at 50 Hudson Yards in Midtown Manhattan, New York City. The company serves clients in 100 countries. As one of the “Big Three” index fund managers, together with State Street and The Vanguard Group, BlackRock oversees the iShares family of exchange-traded funds. Many significant financial institutions use its Aladdin software to monitor their investment portfolios, and its BlackRock Solutions subsidiary offers financial risk management services.
Black Rock Hiring For Java Quantitative Engineering Analyst Details
Job Role: Java Quantitative Engineering Analyst
Company Website: www.blackrock.com
Qualification: Graduate
Experience: Freshers/Experienced
Batch: Recent Batches
Salary: As per company standards
Location: Gurgaon
Last Date: ASAP
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Roles & Responsibilities
Below are the Roles & Responsibilities –
- Analyze customer data and provide actionable insights in close collaboration with the CRM team.
- To facilitate data-driven decision-making, create interactive dashboards with Power BI, Tableau, or comparable technologies.
- Create and improve algorithms based on Python to forecast consumer purchasing patterns.
- Contribute to strategic conversations and properly communicate analytical results to corporate stakeholders.
- Aid in preserving the accuracy of the data and enhancing the effectiveness of the reporting procedures.
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Required Skills & Qualifications
Below are the Required Skills & Qualifications –
- Throughout the internship, you must be able to work on-site from the office every day.
- Competent in Python, particularly in the areas of data analysis and fundamental machine learning (using tools like Pandas, Scikit-learn, and XGBoost).
- Practical knowledge of data visualization programs such as Excel, Tableau, or Power BI.
- Practical understanding of database querying and SQL.
- Strong communication, problem-solving, and analytical abilities.
- Pursuing or having just finished a degree in computer science, statistics, data science, or a similar discipline.
- It is advantageous to have experience with CRM systems or customer segmentation.
- It will be advantageous to have prior analytics or business intelligence project or internship experience.
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How To Apply For Black Rock Hiring For Java Quantitative Engineering Analyst
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