Data Business Analyst

Data Business Analyst

Budapest

JR024301

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.

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 Youll 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

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 whats 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 opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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