AI/ML Model Developer, Vice President
LN - 20 Bank St - HQ1, United Kingdom
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.AI/ML Model Developer, Vice President
London
JR013120
The Firm Risk Management division is at the core of the firm's activities, and its role is evolving and expanding in line with changing industry standards, regulatory requirements, and commercial pressures.
This role (AI/ML Model Developer) will reside within Firm Risk Management's Risk Analytics Department, specifically the Risk Artificial Intelligence Applications team. The role will be responsible for the design and development of Artificial Intelligence applications.
Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.
About Morgan Stanley
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
What will you be doing?
• Design and develop AI applications that enhance the efficiency of the Firm's Risk Management processes, and help risk managers gain new insights
• Contribute hands-on to software development using Python and AI/ML models, with a focus on natural language processing (NLP) and Large Language Models (LLMs) such as GPT-4
• Collaborate and interact with risk managers, model reviewers, and other internal and external stakeholders
• Collaborate globally with team members, stakeholders within technology teams in Risk & Front Office and Quant-developer teams within Front Office Strats
• Contribute directly as a hands-on developer while mentoring junior team members
What we’re looking for:
• Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Mathematical Finance, Physics, Statistics, Engineering, or equivalent
• 5+ years of relevant work experience in AI/ML, software engineering, or related fields
• Strong knowledge of at least one mainstream programming language (proven track record of Python programming)
• Understanding of financial concepts and products
• Interest in AI/ML concepts
• Familiarity with modern development best practices, such as Unit Testing and Continuous Integration/Continuous Deployment
Skills that will help you in the role:
• Strategic mindset, good business sense and judgment, creative problem-solving skills
• The ability to effectively communicate with a wide range of stakeholders (specialist and non-technical stakeholders), both written and verbally
• An interest in working in a fast-paced environment, often balancing multiple high priority deliverables
• People management experience, including mentoring junior developers (preferred)
• Familiarity with financial models (preferred)
Where will you be working?
This role is based in 20 Bank Street, London.
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.
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 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Computer Science Engineering Finance GPT GPT-4 LLMs Machine Learning Mathematics ML models NLP Physics Python Statistics Testing
Perks/benefits: Career development Flex hours Team events
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