Director, Data & Analytics Engineering

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. 

What you’ll do in the role:

Morgan Stanley Services Group, Inc. is seeking a Director, Data & Analytics Engineering in Alpharetta, GA to design and deploy machine learning (ML) models for data-driven decisions. Implement distributed training systems to accelerate model training. Analyze data from past events to create labeled training data, extract data trends, and develop new features. Build APIs to serve real-time predictions with scalable infrastructure. Automate the process to integrate new code changes, test changes, and deploy in production. Ensure secure and compliant connections between cloud and on-premises data systems. Leverage Large Language Models to generate content and derive features for ML applications. Telecommuting permitted up to 2 days per week.

What you’ll bring to the role:

-Requires a Master’s in Computer Science, Computer Engineering, or a related field

-Requires one (1) year of experience in the position offered or one (1) year as a Software Developer, Intern, or a related occupation

-Requires one (1) year of experience with the following skills:

• Python;
• Libraries including:
  • Numpy;
  • Pandas;
  • Matplotlib; and
  • Scikit-learn.
• Data processing techniques including:
  • Handling missing values;
  • Normalization; and
  • Feature extraction.
• Machine learning algorithms including:
  • Linear regression;
  • Decision tree; and
  • K-nearest neighbors.
• Basic deep learning algorithms;
• Frameworks including:
  • TensorFlow; or
  • PyTorch.
• Linear algebra;
• Calculus;
• Probability; and
• Statistics.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste into your browser.

Expected base pay rates for the role will be between $125,000 and $135,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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