Associate, Modelling Data Scientist

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$136,500–$148,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $142k
$100k most similar roles pay here $233k

This role pays less than 68% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $142k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 88 open roles on FindRole.

Listed pay typically runs $148,000–$192,500 across 84 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Associate, Modelling Data Scientist

Role Posting Log in to save

As an Associate Data Scientist at a leading financial firm, you will join a dynamic team focused on enhancing business decision-making through advanced analytics. Your primary responsibilities include developing sophisticated predictive models and algorithms to support trading decisions, investment strategies, and research initiatives. You will build high-performance systems using machine learning, deep learning, and natural language processing techniques, while also documenting your work and conducting thorough model testing. Key technologies and tools you’ll use daily include Python, MATLAB, R, Rust, Azure, Google BigQuery, MySQL, PostgreSQL, SparkSQL, Tableau, Jupyter Notebook, PowerBI, VSCode, AzureML, and MLFlow. This role requires a strong background in data science or financial engineering, with experience in AI research and application to financial problems, making it ideal for someone passionate about advancing analytics capabilities in the finance sector.

Skills

Python MATLAB R Rust Azure Google Big Query MySQL PostgreSQL SparkSQL Natural Language Processing Tableau Jupyter Notebook PowerBI VScode AzureML MLFlow

What you'll do

  • Develop advanced quantitative and generative AI models using machine learning techniques.
  • Research and apply AI technologies to solve financial industry problems.
  • Document model development processes and conduct thorough testing.
  • Utilize cloud services like Azure and Google BigQuery for data processing.
  • Deliver technical presentations on complex model methodologies to stakeholders.

What we're looking for

  • Bachelor's degree in Data Science, Financial Engineering, Statistics, Computer Science, or related field.
  • 2 years of experience building advanced quantitative and generative AI models using machine learning and deep learning techniques.
  • Experience researching AI technologies and applying them to financial problems.
  • Proficiency in Python, MATLAB, R, Rust, and cloud services like Azure and Google BigQuery.
  • Ability to document model development processes and conduct thorough testing.
  • Expertise in natural language processing and SQL databases (MySQL, PostgreSQL).
  • Skill in using data visualization tools such as Tableau, Jupyter Notebook, PowerBI.

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