We're seeking someone to join as a Data Analyst to deliver industry leading operational solutions by aligning the right functions, people, processes, and tools to ensure the Firm is protected against internal and external fraud risk.

In the Technology division, 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. The mission of CYBER DATA RISK & RESILIENCE is to deliver first-line defences to manage risks to Firm technology, information and cyber threats through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally compliant manner. Fraud Operations, under the Technology & Operations Risk division, plays a key role in supporting the Firm, delivers industry leading operational solutions by aligning the right functions, people, processes, and tools to ensure the Firm is protected against internal and external fraud risk.

This is a Data Analyst position at Associate level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

• Design, develop, and optimize complex data pipelines and ETL processes. 

• Architect and implement large-scale data ecosystems and analytics platforms. 

• Drive innovation in data engineering by exploring new tools and techniques. 

• Optimize data storage, processing, and retrieval for performance and cost efficiency. 

• Define data engineering standards, guidelines, and best practices. 

• Lead cross-functional teams in solving complex data problems and challenges. 

• Act as a subject matter expert in data architecture and engineering domains. 

• Collaborate with stakeholders to understand business requirements and drive data strategy. 

• Contribute to the development of the data engineering roadmap and vision. 

• Design and/or collaborate on projects using advanced AI/ML techniques and algorithms.

What you'll bring to the role:

• 4+ years of AI/ML development experience.

• 2+ years using graph analytics in the context of internal and external fraud analytic support.

• 2+ Practical and applied experience using Python/Pyspark/Snowpark to implement statistics-based analytics.

• 2+ years conducting analytics and programming work within financial services, preferentially in the context of fraud AI/ML development.

• Understanding of fraud and security issues within the banking and finance industry.

• Experience using relational databases or distributed file systems (i.e., SQL, Hadoop, Snowflake) and related tools (Hive, Impala, Spark/PySpark, Tableau).

• Experience working with a globally distributed team.

• Analytical, critical thinking and decision-making skills utilizing data extraction.
• Excellent written and verbal communication skills.

• Detail oriented with the ability and desire to work in a team environment.

• Previous applied experience in developing generative AI or agentic solutions that look for anomalous behaviour in large data sets.

• Experience in developing an understanding of large data sets coupled with an ability to use that data to answer questions posed by business owners.

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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.