BlackRock is looking to solve the problem of managing and analyzing large amounts of financial data to help its clients achieve scale through automation while safeguarding alpha generation, by building next generation liquidity, security similarity and pricing models leveraging expertise in quantitative research, data science and machine learning.
Requirements
- Strong background in Mathematics, Statistics, Probability, Linear Algebra
- Knowledgeable about data mining, data analytics, data modeling
- Experience with data engineering tools and technologies (e.g., Apache Spark, Hadoop).
- Strong understanding of relational and non-relational databases (e.g., SQL, NoSQL).
- Proficiency in scripting languages for data manipulation and automation (e.g., Python, Scala).
- Experience working with cloud platforms for data storage and processing (e.g., Azure, GCP).
- Ability to work independently and efficiently in a fast-paced and team-oriented environment.
Responsibilities
- Design, develop, and maintain data pipelines to extract, transform, and load data from various sources into our data warehouse/lake.
- Work with data scientists and analysts to understand data needs and design appropriate data models.
- Implement data quality checks and ensure the accuracy and consistency of data throughout the processing pipeline.
- Perform analysis of large data sets comprising of market data, trading data and derived analytics.
- Design and develop model surveillance framework.
- Automate data processing tasks using scripting languages (e.g., Python, Scala) and orchestration tools (e.g., Airflow, Luigi).
- Utilize cloud-based data platforms (e.g., GCP, Azure, etc.) to manage and process large datasets efficiently.
Other
- B.Tech / B.E. / M.Sc. degree in a quantitative discipline (Mathematics, Physics, Computer Science, Finance or similar area).
- MS/M.Tech. / PhD is a plus.
- Ability to work independently and efficiently in a fast-paced and team-oriented environment.
- Previous experience or knowledge in fixed income market and market liquidity is not required but a big plus.
- Employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
