LTI - Data Scientist, Associate

About the position The Aladdin Financial Engineering Data Scientist Associate role at BlackRock involves conducting research to build quantitative financial models and portfolio analytics. The position is part of the Aladdin Financial Engineering Group (AFE), which focuses on technology and financial analytics, developing models for various financial applications. The role requires collaboration with data scientists and researchers to support risk managers, portfolio managers, and traders, utilizing machine learning and data engineering tools to enhance liquidity analytics and trading processes. 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) to manage and process large datasets efficiently. • Implement the ML models/analytics for Trading/Liquidity and integrate into Aladdin analytical system in accordance with BlackRock's model governance policy. Requirements • 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. • 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. Nice-to-haves • Previous experience or knowledge in fixed income market and market liquidity. Benefits • Strong retirement plan. • Tuition reimbursement. • Comprehensive healthcare. • Support for working parents. • Flexible Time Off (FTO). • Annual discretionary bonus. Apply tot his job