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Application and Infrastructure Security Specialist - Assistant Vice President

Morgan Stanley20h ago
United StatesOnsite$85K–$140KFull-timeMid Level3+ yrs exp
H-1B verified · 162 LCAs

Top focus

Infrastructure EngineerSecurity EngineerMl Infra EngineerSecurity Architect

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 Application and Infrastructure Security Team is seeking an Assistant Vice President to enhance our risk identification and remediation efforts. The successful candidate will employ application telemetry and security tools to programmatically identify risks critical to the WM business.

This position demands a high level of expertise in data analysis and automation, as well as familiarity with Artificial Intelligence techniques. Candidates should possess a strong understanding of common application architecture and software development practices.

A commitment to ongoing research and a willingness to learn on the job are essential for this role. Key responsibilities include: Conduct complex data analysis and develop automated solutions to enhance risk management processes Leverage Artificial Intelligence and Generative AI capabilities to improve risk identification and drive risk reduction Prototype Generative AI solutions that deliver cost savings and improve control effectiveness Perform risk assessments, identify vulnerabilities, and develop mitigation plans to protect the organization’s technology assets Ensure the consistent application of data security, information management, and privacy controls across acquired businesses and their technology environments Develop and maintain metrics to monitor project execution and measure risk, providing trend analysis and insights to leadership Strengthen controls across high-priority Wealth Management applications and infrastructure Qualifications 3-5 years of relevant experience Bachelor's degree in a related technical field such as Computer Science, Information Technology, Cybersecurity, or related discipline Experience automating tasks using scripting languages (e.g.

Python, Bash) and data analysis tools (e.g. Dataiku, SQL) Ability to partner effectively with cross-functional stakeholders and drive initiatives to completion in a large, matrixed organization Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights Strong written and verbal communication skills, with the ability to communicate effectively across all levels of the organization Strong organizational and time-management skills, with the ability to manage multiple priorities across concurrent projects Strong analytical skills with experience in data manipulation and analysis (i.e., capable of turning raw data into actionable insights) Prototype and scale Generative AI use cases that deliver cost savings, improve operational efficiency, and support risk reduction Preferred Qualifications: Experience with risk management practices at a large financial institution Knowledge of the financial services industry; preferably in wealth management, finance, operations, or technology 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. Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment.

However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

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 .

Required skills

PythonBashDataikuSQLArtificial IntelligenceGenerative AI
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