Assistant Vice President, Data Science & Analysis

Morgan Stanley Group; East Orange (NJ); Hybrid; USD 135,000 - 165,000; Full time

Benefits offered by this job

Medical

Prescription Drug

Dental

Vision

Health Savings Account

Dependent Day Care Savings Account

Life Insurance

Disability

Other Insurance Plans

Paid Time Off (including Sick Leave)

Job summary

Morgan Stanley is seeking an Assistant Vice President, Data Science & Analysis in Jersey City, NJ to develop data science solutions that can be tested and deployed to enable data driven recommendations and outcomes and implement and scale-up high availability models and algorithms for various business and corporate functions. Telecommuting permitted up to 1 day per week.

Lead modeling efforts, collaborate with Legal, Compliance, Risk, and Technology teams, and translate business needs into

Qualifications

• Master’s in Data Science, Quantitative Economics, Mathematics, or a related field.
• Requires two years of experience in Data Science & Analysis or related roles.
• Experience with end-to-end ML development, production-grade models and deployment pipelines.

Responsibilities

• Develop data science solutions that can be tested and deployed to enable data-driven recommendations and outcomes.
• Scale-up high-availability models and algorithms for various business functions in the cloud transformation journey.
• Collaborate with cross-functional stakeholders to translate business needs into analytics solutions and ensure timely, compliant delivery.
• Set up and conduct large-scale experiments to test hypotheses and drive business growth.

Skills

Machine learning

Python for predictive modeling

SQL for data extraction

Experimentation & A/B testing

Feature engineering

Data processing & analysis

Education

Master’s in Data Science, Quantitative Economics, Mathematics, or related field

Tools

Python

SQL

Job description

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 Wealth Management, we help people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals.

What you’ll do in the role:

Morgan Stanley Smith Barney, LLC is seeking an Assistant Vice President, Data Science & Analysis in Jersey City, New Jersey to develop data science solutions that can be tested and deployed to enable data driven recommendations and outcomes and implement and scale-up high availability models and algorithms for various business and corporate functions. Leverage machine learning modelling and algorithms to deliver on use cases related to client acquisition, including marketing, targeting, digital and products strategy. Build modeling solutions to solve business problems and lead the development of data science and modeling capabilities in the cloud transformation journey. Investigate and create experimental prototypes that work on specific domains and verticals. Analyze large, complex datasets to reveal underlying patterns, correlations, and trends quantitatively. Support and enhance existing models to ensure better performance. Set up and conduct large-scale experiments to test hypotheses and drive business growth. Collaborate with cross-functional stakeholders (Legal, Compliance, Risk, Technology, and Business Partners) to translate business needs into analytics solutions, align on model governance and controls, and ensure timely, compliant delivery. Telecommuting permitted up to 1 day per week.

What you’ll bring to the role:

• Requires a Master’s in Data Science, Quantitative Economics, Mathematics, or a related field.
• Requires two (2) years of experience in the position offered or two (2) years as a Data Science & Analysis Associate, Machine Learning Researcher, or a related role.
• Requires two (2) years of experience with the following skills: End-to-end development of machine learning solutions by translating business opportunities into production-grade models and pipelines including data sourcing, feature engineering, evaluation, deployment, and monitoring with success metrics tied to measurable business outcomes; Developing and benchmarking algorithms including deep learning approaches for classification and regression, using rigorous experimentation to improve performance and robustness; Designing and deploying agentic AI solutions and applying generative AI techniques to enhance machine learning and deep learning model performance, robustness, and development efficiency; Python for predictive modeling, data processing, feature engineering, statistical analysis, and workflow automation; Writing SQL queries for data extraction, transformation, aggregation, and analysis on enterprise-scale relational databases; Applying statistical analysis, hypothesis testing, and A/B testing methodologies to evaluate model and business performance; Applying feature engineering, unsupervised learning methods, text processing, and pattern discovery techniques on structured and unstructured datasets; Developing reports and visual analytics to communicate model performance, experimental results, and business insights to technical and non-technical stakeholders; and Partnering with stakeholders to gather requirements, communicate analytical findings and model limitations, document decisions, and support governance processes for production analytics and machine learning solutions; and Validating the machine learning models in collaboration with the validation team to ensure accuracy and reliability of Machine Learning (ML) models.

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 https://www.morganstanley.com/about-us/global-offices into your browser.

• Medical
• Prescription Drug
• Dental
• Vision
• Health Savings Account
• Dependent Day Care Savings Account
• Life Insurance
• Disability
• Other Insurance Plans
• Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually)
• 10 Paid Holidays
• 401(k)
• Short/Long Term Disability
• other special perks reserved for our employees

Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.

Salary range for the position:

$150,000 - $150,000/Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component.

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.

At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values.

Morgan Stanley is dedicated to providing first-class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world.

In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading-edge solutions—and in the ability of capital to work for the benefit of all society.

About us

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