Data Analytics - Business Solutions Group - Associate

tional environments spanning business, technology, and risk stakeholders.

Primary Responsibilities

As a key member of the BSG team, this individual will work in cross-functional agile teams alongside various business stakeholders (e.g. business, technology, operations, risk and finance) to innovate and consult on developing new or enhancing existing technologies. This role offers the opportunity to collaborate with colleagues and industry experts to design and deliver high performance data frameworks and technical platforms that power advanced analytics engagements and solutions.

Key responsibilities will include but will not be limited to the following:

• Support high quality, multi-workstream engagements within ISG including front office, risk, finance, operations and technology

• Design analytical frameworks to evaluate automation opportunities, operational efficiency improvements, and process performance

• Support the development of advanced analytics solutions including predictive models, workflow automation, and AI-enabled decision tools

• Partner with business, technology, and operations teams to translate business requirements into data and analytical solutions

• Conduct quantitative analysis on large financial and operational datasets to identify insights and efficiency opportunities

• Support the design and implementation of data architectures that enable advanced analytics and automation capabilities

• Contribute to the development of internal data products and dashboards that enhance transparency and decision-making

• Assist with implementation planning and monitoring of transformation initiatives, ensuring analytical insights translate into measurable improvements

• Document analytical methodologies, data sources, and transformation initiatives to ensure transparency and reproducibility

Skills Required:

• Proven ability to manage delivery/execution of a wide range of tasks and initiatives

• Experience working with large datasets and building analytical models

• Ability to translate complex business problems into structured analytical approaches

• Strong programming skills for data analysis and transformation

• Experience collaborating with cross-functional teams including business, technology, and operations

• Strong communication skills with the ability to explain analytical insights to both technical and non-technical stakeholders

• Eagerness to learn business and understand detailed technical requirements

Technical Skills:

• Python, R, or similar languages

• Experience working with large datasets and data manipulation libraries (e.g., Pandas, NumPy)

• Familiarity with data engineering concepts, including building ETL pipelines and working with APIs

• Familiarity with SQL and relational databases

• Familiarity with data visualization tools (e.g., Tableau, Power BI, Python visualization libraries)

• Exposure to machine learning techniques and statistical modeling is a plus

• Experience working with structured, semi-structured, and unstructured data is a plus

• Exposure to cloud platforms and modern data architectures is a plus

Qualifications

• A minimum of 2-5 years of relevant experience

• Degree in data science, Statistics, Computer Science, Engineering, Mathematics, Economics, or Finance

• Experience working with financial datasets or financial services institutions preferred

• Understanding capital markets, lending, risk management, or financial operations is a plus

• Experience supporting data-driven transformation or operational improvement initiatives is beneficial

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

Expected base pay rates for the role will be between $100,000 and $150,000 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.

For more information, please visit : https://https://www.morganstanley.com/people-opportunities/eeo .