Business Solutions Group (BSG) Associate – Data & Analytics

Overview

The Business Solutions Group (BSG) team sits within Morgan Stanley’s Institutional Securities Group (ISG) and functions as an in-house management consulting team supporting the firm with strategic program management and delivery, large-scale transformation, operational improvement, and regulatory change or remediation. The team partners with individual business lines, Legal/Risk/Compliance, and senior firm leadership to drive initiatives to completion.

This individual will play a foundational role in shaping the team’s capabilities, delivering high-impact engagements.

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 consulting engagements within ISG including front office, risk, finance, operations and technology
• Collaborate with cross-functional teams to enhance and propose technology assets and solutions, ensuring seamless deployment and continuous upgradation of functionalities
• Own deliverables across the automation journey to ensure the use cases and scenarios are properly documented & analyzed
• Create & manage project plans, call out risks & issues proactively, report progress against the plan & track associated project benefits
• Partner with BSG leadership and stakeholders on all stages of program planning and execution to ensure deadlines are met and assist with risk/issue resolution
• Support change management/ process enhancements, control, and governance-related initiatives
• Promote a collaborative, inclusive, high-performance culture that balances excellence with sustainability

Skills Required:

• Proven ability to manage delivery/execution of a wide range of tasks and initiatives
• Strong written and verbal communications skills
• Ability to interact at all levels of the organization and tailor messages appropriately
• Strong presentation skills, including ability to create polished PowerPoint presentations for various levels of management
• Independent self-starter who can manage multiple activities to aggressive deadlines
• Eagerness to learn business and understand detailed technical requirements

Qualifications

• A minimum of 2–5 years of relevant experience in Data & Analytics, Business Management, Consulting, Transformation, or related roles within Financial Services.
• Strong analytical and data-driven problem-solving skills with hands-on experience in data analysis, visualization, dashboarding, automation, and management reporting using tools such as SQL, Python, Tableau, Power BI, Alteryx, Excel/VBA, or similar technologies.
• Experience leveraging technology, automation, AI/ML, Generative AI, and digital solutions to improve business processes, controls, decision-making, and operational efficiency.
• Experience building and managing data pipelines and working with structured, semi-structured, and unstructured data, including data governance, data quality, metadata management, and data lineage.
• Experience working with financial and Markets data domains, including trades, positions, P&L, risk, market data, reference data, client data, finance, and regulatory reporting datasets.
• Understanding of the Sales & Trading / Global Markets ecosystem, including products (Equities, Fixed Income, FX, Rates, Credit, Derivatives), trade lifecycle, front-to-back operating processes, risk management, finance, and regulatory drivers is preferred.
• Experience in project management, product development, business management, consulting, PMO, or transformation initiatives preferred, but not mandatory
• Bachelor’s or master’s degree in quantitative disciplines such as Finance, Economics, Engineering, Mathematics, Statistics, Computer Science, or a related field.

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.

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://www.morganstanley.com/people-opportunities/eeo.