Risk Analytics (Risk Management) : Job Level - Associate na Morgan Stanley

Morgan Stanley

AI Engineer – Analyst/ Associate

Profile Description

We’re seeking someone to join our team as a [Analyst/ Associate] to [Risk Analytics team as AI Engineer].

Firm Risk Management

In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives.

Company Profile

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

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:

Responsibilities
This is a role in the Risk AI Applications team that designs, develops, and implements AI tools that enhance the efficiency of the Firm's risk management processes and help risk managers to gain new insights.
• Contributes hands-on to coding using Python and AI/ML models, with a focus on natural language processing (NLP) and Large Language Models (LLMs) such as GPT-4
• Collaborates and interacts with risk managers, model reviewers, and other internal and external stakeholders
• Operates as part of a global team Required Skills
• 1-4 years of relevant work experience in AI/ML, software development, or related fields?
• Graduate/post-graduate degree in a quantitative field such as Computer Science, Mathematics, Mathematical Finance, Physics, Statistics, Engineering, or equivalent
• Proven track record of Python programming
• Strong understanding of AI/ML concepts and familiarity with model development best practices
• Good understanding of financial concepts and products

What you’ll bring to the role:

Skills required (required / preferred)
• Strong interpersonal and communication skills, with the ability to communicate with both specialist and non-technical stakeholders
• Excellent command of English, both written and verbal
• Creative problem-solving skills
• Familiarity with financial models
• Programming experience with JavaScript

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.