Data Governance Specialist
Budapest Millennium Tower III, Hungary
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Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.We're seeking someone to join our team as a Data Governance Analyst in Non-Financial Risk to establish strong data governance, building and leveraging data analytics and executing on our data centric strategy.
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, operational and franchise risk. This is an Associate level position within the NFR Data & Analytics, a function in the Legal and Compliance Division that is responsible for designing and optimizing surveillance models, approaches, and tools using advanced analytical techniques like supervised and unsupervised machine learning, and evolving techniques like graph analytics.
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?
> Participate in Data Governance and Data Analytics related projects and working groups.
> Implement formal data governance practices with business and technology teams.
> Guide stakeholders to adopt data governance best practices
> Enhance processes and perform analysis to support strategic projects
> Apply data quality governance framework and metrics
> Maintain data quality standards and compliance with regulatory requirements What you'll bring to the role?
At least 4 years' relevant experience would generally be expected to find the skills required for this role
> Bachelor's degree in a related field.
> Strong understanding of data governance and issue management.
> Good written and oral communication skills.
> Ability to work with global, cross-functional teams.
> Direct experience in the financial services industry.
> Experience in the categorization and use of business data in support of business processes.
> Knowledge of semantic technologies, SKOS modeling, and experience using SPARQL.
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data Analytics Data governance Data quality Machine Learning
Perks/benefits: Career development Flex hours
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