Senior Data & Analytics Engineer - Fixed Income
Morgan Stanley is hiring a Senior Data & Analytics Engineer - Fixed Income in Budapest, Hungary. Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- Morgan Stanley has 1,200+ other open roles on Level.
- Posted in the last few days.
AI in this role
We're seeking someone to join our BMET team as a Data & Analytics Engineer in Technology to lead the development of strategic data, analytics and entitlement capabilities supporting Global Fixed Income Electronic Trading, including the continued evolution of AI-enabled business intelligence.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This position is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques
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:
- Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions.
- Lead the design and delivery of strategic data, analytics and reporting capabilities supporting Global Fixed Income Electronic Trading.
- Expand client P&L and client analytics capabilities used by Sales, Trading, COO and Strat functions to support business decision-making.
- Lead the continued evolution of the FID analytics platform, delivering scalable, high-quality business intelligence capabilities.
- Modernize entitlement and access-control frameworks to provide secure, granular access to business metrics and analytics across Fixed Income
- Enable AI-driven analytics, including integration with chat with your data platforms, by developing AI-ready data access and entitlement models that maintain appropriate governance and information barriers.
What you'll bring to the role:
- Ability to effectively manage multiple functions or guide junior staff and initiatives.
- Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
- Experience in designing and delivering enterprise-scale data, analytics and reporting platforms within complex technology environments.
- Experience in developing modern web applications using Angular and Node.js, including integration with backend data services and APIs.
- Understanding of data architecture, data modelling and high-volume financial datasets, with a focus on performance, scalability and reliability.
- Experience in implementing data security, entitlement and access-control solutions, ideally for sensitive financial or business data.
- Understanding of Fixed Income or electronic trading workflows, financial metrics and client analytics, with the ability to translate business requirements into scalable technology solutions.
#BPTECH #LI-HYBRID #LI-TF1
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
Senior Data & Analytics Engineer - Fixed Income at Morgan Stanley rates 28 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.
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