Business Analytics Engineer
Morgan Stanley is hiring a Business Analytics Engineer in Budapest, Hungary. Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Python, data analytics and financial services among its tools and skills.
- Level classes it as a mid-level role.
- Morgan Stanley has 1,200+ other open roles on Level.
AI in this role
Business Analytics Engineer to work with complex datasets, build attribution models, and deliver data insights for the Fixed Income business.
Join a Global Leader in Financial Services: Morgan Stanley
Morgan Stanley is a leading global financial services firm that has been a driving force in the industry for 90 years. With a strong reputation for innovation, integrity, and teamwork, we are committed to delivering exceptional results to our clients and shareholders. Our people are our greatest asset, and we are dedicated to fostering a culture of collaboration, creativity, and excellence.
Role Overview
Business Analytics Strategists have a deep understanding of the Fixed Income business and use their technology and data skills to deliver data insights and key business metrics. Working closely with Business Management, they help set and track strategy by collecting data from various parts of the organization and build attribution models and metrics. They also build tools to capture data and distribute metrics across the organization.
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:
Work with large and complex datasets to derive impactful and fresh insights and analyses for business decision-making.
Communicate with Business Management, Traders, Strats and Technologists from all divisions of the Firm to find holistic solutions to deliver the best of Morgan Stanley to our clients.
Assist in driving business planning, business strategy and executing on key priorities.
Create meaningful analysis to aid strategic decisions.
Assist in presentations for senior management on pipeline, performance metrics and key initiatives.
Assist development of web-based management reporting tools.
Review capital and returns for transactions.
Have a keen interest in the strategy and operations of the Fixed Income business which encompasses a large range of responsibilities.
What you'll bring to the role:
Degree in quantitative area or technology such as Mathematics, Physics, Computer Science, etc.
Solid problem solving & math foundations and an interest in the financial industry
Good programming skills in Python or in some other programming language
Interest in Data Analytics
High resilience to work at the forefront of business decision-making
Advanced communication skills in English
#LI-NB1 #LI-hybrid #BPMM
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
Business Analytics Engineer at Morgan Stanley rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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. Read the description and count the AI tools, models and workflows it names.
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 analytics was part of your work. What did you do?
- Tell me about a project where financial services was part of your work. What did you do?
- Tell me about a project where fixed income was part of your work. What did you do?
- Tell me about a project where business strategy was part of your work. What did you do?
- Tell me about a project where modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analytics, Financial Services, Fixed Income, Business Strategy, and Modeling. 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.
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