Morgan StanleyData and Analytics Associate- Non-Financial Risk Visualization & Reporting
Morgan Stanley is hiring a Data and Analytics Associate- Non-Financial Risk Visualization & Reporting in Budapest, Hungary. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Alteryx, R and Python.
- Level files it as a mid-level role.
- Level lists 1,200+ other open roles at Morgan Stanley.
- The role was posted within the past two weeks.
AI in this role
Data and Analytics Associate focusing on non-financial risk reporting, leveraging AI and automation tools.
We are seeking a proactive Data and Analytics Associate to join our Non-Financial Risk Visualization & Reporting Solution (NFR VRS) team. This team is essential in delivering innovative data-driven solutions that empower our Legal and Compliance Division to effectively measure, manage, and mitigate non-financial risks, including financial crimes, market manipulation, and operational risks.
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:
- Participate in various Data and Analytics related projects focusing on Reporting Data sets and Data Engineering
- Collaborate with stakeholders to understand requirements and transform them into effective reporting data products
- Use Data transformation tools to design, develop, and implement reporting ready Data sets for all users within the department
- Support Non-Financial Risk management by deriving actionable insights from data and leveraging quantitative and statistical techniques
- Provide guidance to key stakeholders on how to adopt data transformation and modelling best practices in collaboration with Technology functions
- Enhance program processes where opportunities exist and perform data driven analysis to support strategic projects that add value to the broader division
What You Will Bring to the Role:
- Bachelor's degree in a related field
- 3 years of experience in a data related role including data visualization, reporting or data analysis
- Experience with querying and transforming large data sets
- Experience in creating data driven insights and analytics
- Experience with automation of data sourcing and transformation
- Good written and oral communication skills
- Ability to work with global, cross-functional teams
What will help you in the role:
- Direct experience in the financial services industry.
- Good understanding of project management principles
- Experience in the reporting and use of business data in support of business processes
- Familiarity with mainstream data processing and modelling programming languages (Alteryx, R, Python).
- Experience in leveraging AI solutions to automate reporting and analytical processes.
#LI-KP1
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.
How we rate this
Data and Analytics Associate- Non-Financial Risk Visualization & Reporting at Morgan Stanley rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
- Walk me through how you've used Alteryx in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Visualization, Risk Management, Reporting, and Alteryx. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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