Associate, Modelling Data Scientist
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About this role Company: BlackRock Financial Management, Inc. Job Title: Associate, Modelling Data Scientist Location: 725 Ponce De Leon Avenue NE Atlanta, GA 30306 Job Duties: Responsible for creating sophisticated, value-added analytic systems that support business decisions and activities (e.g., trading decisions, investment strategies for the firm and/or clients, research initiatives, and deal structuring). Responsibilities include building high performance algorithms, prototypes, predictive models, and proofs of concept. Designing and develop financial models that provide insights into specific securities and asset classes, enabling the optimization of portfolio returns. The role advances the analytics capabilities of the firm's platforms through improved models and expanded product coverage. Qualifications: Bachelor's degree or foreign equivalent in Data Science, Financial Engineering, Statistics, Computer Science, or closely related field and 24 months of experience in job offered, or closely related role. Position requires two years of experience in the following: Building advanced quantitative or generative AI models using methods including machine learning, deep learning, or LLM evaluation; Researching AI technologies and applying to financial problems; Documenting model development process and conducting thorough model testing and surveillance planning; Python, MATLAB, R, and Rust ; Cloud services including Azure and Google Big Query (GCP); Delivering internal and external technical presentations on complex model methodologies; MySQL, PostgreSQL, and SparkSQL; Natural Language Processing; and Tableau, Jupiter Notebook, PowerBI, VScode, AzureML, and MLFlow. Salary: $ 136,500 - 148,000 To apply, please click "Apply" on this webpage. For Atlanta, GA Only the salary range for this position is USD$0.00 - USD$0.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
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