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 (eg 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, PL, 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Analytics, Associate/Senior Associate

Job Description

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