Data Business Analyst, Director (AVP equivalent)

Data Business Analyst, Director (AVP equivalent)
Budapest
JR020708

The NFR Data & Analytics team is looking for 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. 

A key part of our remit is to deliver a new NFR data strategy based on data-centricity and semantic technologies. This is a unique opportunity to join a leading group of data and analytics professionals who partner with stakeholders across the organization to enable next-generation capabilities. 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. Your work will directly enable capabilities such as recommendation engines and question/answering capabilities leveraging GenAI.

Department Profile 

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 franchise risk. 

The Non-Financial Risk (“NFR”) Department forms the second line of defense for management of the firm’s non-financial risks, which include Financial Crimes, market manipulation or abuse and Operational risk. 

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.

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:
-    Support the design of data models including the identification of categorical data
-    Assist with the design and development of semantic capabilities in partnership with colleagues from Technology and Data-Science teams
-    Support business partners to leverage data-centric techniques
-    Manage projects to implement various semantic capabilities such as search utilities, question and answering and recommendation engines. 

What we’re looking for:
-    Bachelor’s degree
-    4+ years of related experience in a corporation, government body or relevant organization 
-    Analytical mindset with ability to think critically about appropriate solutions to business problems
-    Demonstrable experience in the use of data led approaches to solving business problems
-    Analysis of business requirements and subsequent development of data strategies and solutions to address
-    Strong problem-solving skills for tackling complex data problems in large-scale datasets
-    Agile development experience

Skills that will help you in the role:
-    Experience of data design methodologies and techniques
-    Practical experience of semantic technologies including taxonomy and ontology development, RDF/OWL concepts, Knowledge Graphs and semantic search engines.
-    Experience with Knowledge Graphs/ Graph Databases and understanding of Graph Theory concepts
-    Experience in Natural Language Processing and integrating Machine Learning models with semantic data for classification, inference and recommendation.
-    SQL, SPARQL, Python Experience
-    Direct experience in operational risk management or related risk domains
-    Experience in technology application design

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 t