Associate, Modelling Data Scientist

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;
• Tableau, Jupiter Notebook, PowerBI, VScode, AzureML, and MLFlow.

Salary

$136,500 – 148,000

Benefits

• Annual discretionary bonus
• Healthcare
• Leave benefits
• Retirement benefits

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok. BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement. BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy. BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Guidance on AI Use for Candidates

We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.