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 Firms employees serve clients worldwide including corporations governments and individuals from more than 1200 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 youll 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 youll bring to the role:

-Requires a Masters 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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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 $125000 and $135000 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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