Application Cybersecurity Specialist
Morgan Stanley is hiring an Application Cybersecurity Specialist in Budapest, Hungary. Level rates it ; you can apply on Level.
Level's read on this job
- Little AI ●○○○ is how Level rates this cybersecurity role: aI is not part of the work.
- The posting mentions RAG, application security and risk assessment among its tools and skills.
- Level classes it as a mid-level role.
- Morgan Stanley has 1,200+ other open roles on Level.
- This posting went up within the past two weeks.
AI in this role
Review and mitigate cybersecurity risks across wealth management applications handling sensitive client data.
We’re seeking someone to join our team as an Application Cybersecurity Specialist.
The Wealth Management (WM) Chief Data Office (CDO) sits within the WM Risk organization and strives to find the right balance between risk management and business enablement. WM CDO’s mission is to: prevent unauthorized access to or misuse of client sensitive data and assets; abide by relevant privacy laws and regulations; effectively retain, retrieve, and protect information and records at the Firm; and mitigate risks caused by inaccurate, untimely, or incomplete WM data.
The Application & Infrastructure Security Team within WM CDO works to ensure that our clients’ Personally Identifiable Information (PII) is stored securely and appropriate controls are applied across all technology assets handling sensitive data.
Role Description:
The WM CDO Application and Infrastructure Security Team seeks an Associate to support its efforts to ensure that sensitive WM data is protected at every point in its lifecycle. The team strives to make sure all applications bearing WM client PII apply appropriate controls to prevent unauthorized access.
The team achieves this goal by leveraging existing application telemetry (static code analysis, log analysis, existing architecture assessments, change management information, etc.) to efficiently identify potential risks. The Associate will leverage these risk detection analytics and work with application owners to confirm any risks, develop remediation plans, and manage remediation efforts across ~2,000 WM applications. Further, this individual will help refine existing analytics (i.e., provide efficacy feedback), create new risk identification methods, and support application deep-dives as required.
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:
- Review and prioritize potential risks identified in applications via an automated risk detection platform
- Validate findings through interview sessions, application demos, and remediation planning sessions
- Analyze architecture and security reports for applications, identifying conflicting information and risks that might lead to data loss
- Generate metrics for reporting to various governance forums
- Analyze the efficacy and performance of analytics for tuning and improvement
- Maintain risk assessment documentation and procedures
What you'll bring to the role:
- Around 3 years of relevant application architecture, risk management, or cybersecurity experience
- Bachelor's degree or greater in related field
- Excellent problem-solving skills and willingness to solve open-ended problems
- Impeccable communication skills, both written and oral
- Strong organization and time-management skills, with the ability to swiftly transition between projects and tasks
- Intrinsic curiosity and an eagerness to learn new technologies and skills
- Experience conceiving and implementing novel solutions to problems
Preferred Qualifications:
- An analytical or technical (application development) background
- Experience in Generative AI (LLMs, Embeddings, Vector Databases, RAG)
- Proficiency in scripting languages such as Python, R, or JavaScript, with the ability to write and maintain simple scripts and automate routine tasks to improve the efficiency and accuracy of data-based processes
- Strong analytical skills with experience in data manipulation and analysis (i.e., capable of turning raw data into actionable insights)
- Knowledge of the financial services industry; preferably in wealth management, finance, operations, or technology
- Familiarity with visualization tools (e.g., Tableau, Dataiku, Power BI)
#LI-NB1 #BPDBA #LI-hybrid
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
Application Cybersecurity Specialist 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. 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
Also common in cybersecurity jobs at this level
Pay
- Typical cybersecurity job
- $159k
This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where application security was part of your work. What did you do?
- Tell me about a project where risk assessment was part of your work. What did you do?
- Tell me about a project where data protection was part of your work. What did you do?
- Tell me about a project where cybersecurity was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Application Security, Risk Assessment, Data Protection, and Cybersecurity. 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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