Business Analyst (Data Design)

Data Business Analyst
Budapest

JR024301

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.

We’re seeking someone to join our NFR Data & Analytics team as an experienced Business Analyst to work on data-centric design projects within the Non-Financial Risk domain. With a professional background in financial services, technology or consulting, you will be passionate about designing data-driven solutions to enable change within complex and dynamic businesses.

In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm’s management of legal, regulatory and NFR Data & Analytics is a function in the Legal and Compliance Division responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like graph analytics. The surveillances and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.

What We Offer:

• A dynamic and collaborative work environment where you can learn from industry experts.
• Opportunities to work with innovative technologies and methodologies, including taxonomy and ontology development, Knowledge Graphs, and semantic search engines.
• You will be able to learn from subject matter experts and build your skills by working with taxonomists, ontologists, data scientists and our Technology partners to deliver industry-leading solutions.
• The chance to make a tangible impact by developing solutions that address critical business challenges.
• Your work will directly enable capabilities such as recommendation engines and question/answering capabilities leveraging GenAI.

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 will do in the role:

• Collaborate with Technology and Data-Science teams to design data models and develop semantic capabilities.
• Partner with business stakeholders to implement data-centric solutions that enhance decision-making.
• Lead projects to deploy advanced semantic capabilities, including search utilities and recommendation engines powered by GenAI.

What you will bring to the role:

• A Bachelor’s degree and 4+ years of relevant experience in financial services, technology, or consulting.
• A strong analytical mindset with a proven track record of using data-driven approaches to solve business problems.
• Experience in agile development and a deep understanding of data design methodologies.

Skills that will help you in the role:

• Expertise in semantic technologies or practical experience with RDF/OWL concepts.

• Knowledge of SQL, SPARQL, and Python.
• Experience in operational risk management or technology application design.

#LI-KP1

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.