Associate, Modelling Data Scientist

BlackRock•Atlanta, GA

6d•$136,500 - $148,000•Hybrid

About The Position

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.

Requirements

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.
Two years of experience in building advanced quantitative or generative AI models using methods including machine learning, deep learning, or LLM evaluation.
Two years of experience in researching AI technologies and applying to financial problems.
Two years of experience in documenting model development process and conducting thorough model testing and surveillance planning.
Two years of experience with Python, MATLAB, R, and Rust.
Two years of experience with cloud services including Azure and Google Big Query (GCP).
Two years of experience in delivering internal and external technical presentations on complex model methodologies.
Two years of experience with MySQL, PostgreSQL, and SparkSQL.
Two years of experience with Natural Language Processing.
Two years of experience with Tableau, Jupiter Notebook, PowerBI, VScode, AzureML, and MLFlow.

Responsibilities

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).
Building high performance algorithms, prototypes, predictive models, and proofs of concept.
Designing and developing financial models that provide insights into specific securities and asset classes, enabling the optimization of portfolio returns.
Advancing the analytics capabilities of the firm’s platforms through improved models and expanded product coverage.