AI/ML Model Developer, Vice President

Morgan Stanley; London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading global financial services firm in London is seeking an AI/ML Model Developer to design and develop applications that enhance risk management processes. Ideal candidates should have a Bachelor's degree in a quantitative field and extensive experience in AI/ML, particularly with Python. The role involves collaboration across teams and mentoring juniors. Competitive benefits and a flexible work environment are offered.

Benefits

Comprehensive employee benefits

Flexible working arrangements

Diversity and inclusion programs

Qualifications

• 5+ years of relevant work experience in AI/ML, software engineering, or related fields.
• Strong knowledge of financial concepts and products.
• Experience with modern development best practices.

Responsibilities

• Design and develop AI applications for Risk Management processes.
• Collaborate and interact with stakeholders across the firm.
• Mentor junior team members in software development.

Skills

Python programming

AI/ML concepts

Creative problem-solving

Effective communication

Education

Bachelor's degree in a quantitative field

Job description

Overview

JR020248 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.

Responsibilities

• 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

Qualifications

• 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, 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)

Location

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 — 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. 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.

Notes

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 working

Flexible work statement: Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Equal opportunity

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.