Quantitative AI and Data Analyst - Executive Director

PowerToFly; New York (NY); On-site; USD 195,000 - 275,000; Full time

Benefits offered by this job

Comprehensive employee benefits

Incentive compensation and bonuses

Opportunities for career progression

Job summary

Morgan Stanley is seeking a highly motivated professional to join its data analytics and AI team focused on Prime Brokerage and Funding Technology. The ideal candidate will have a Master's or Ph.D. in a relevant field and 9+ years of experience in AI and data analytics, particularly using Python.

Key responsibilities include developing AI solutions, designing statistical models, and collaborating with business users to enhance operational efficiency. The position offers a competitive salary between $195,000 and $275,000 annually.

Qualifications

• 9+ years of relevant experience, particularly working with AI and/or Data Analytics.
• Strong programming skills using Python and handling large datasets.
• Practical experience in statistics, data analytics or artificial intelligence.

Responsibilities

• Development of Agentic AI solutions using Machine Learning and Large Language Models.
• Designing advanced statistical approaches for model evaluation and improvement.
• Collaboration with users for model refinement to drive operational efficiency.

Skills

Python programming

Machine Learning

Artificial Intelligence

Statistical analysis

Education

Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering

Job description

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.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.

Morgan Stanley is seeking a highly motivated professional with financial industry experience to join a data analytics and artificial intelligence team within the Prime Brokerage and Funding Technology Department. The team has a global footprint across New York, London, Hong Kong, Mumbai and works closely with various business lines in Institutional Equities and Fixed Income trading, Prime Brokerage, Securities Lending, Fund Services, and the Finance and Risk Divisions of the firm. The team is expanding its capabilities in quantitative AI, combining advanced statistical methods with cutting‑edge GenAI technologies to develop reliable and production‑grade analytics tools.

Primary Responsibilities

• Development, calibration and deployment to production of Agentic AI solutions using a variety of tools and techniques including Machine Learning and Large Language Models.
• Designing and implementing advanced statistical approaches to support evaluation, monitoring, and continuous improvement of GenAI/LLM-based applications.
• Test models comprehensively and build frameworks for model validation across a range of statistical and market conditions.
• Collaboration with users to refine models and tools to deliver applications that provide tangible revenue impact or operational efficiency benefits.
• Working with model risk management and other control functions in the firm to ensure compliance with regulatory and firm governance standards applicable to both quantitative and AI models, including documentation, benchmarking and explainability.
• Working closely with development teams to ensure accurate integration into the firm’s technology stack.
• Presentation of the team’s work to management and stakeholders.
• Mentoring team members.

Required skills

• Master’s or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline.
• 9+ years of relevant experience, particularly working with AI and/or Data Analytics.
• Strong programming skills using Python and handling large datasets and building prototypes of mathematical or statistical models.
• Practical experience in statistics, data analytics or artificial intelligence and familiarity with model development lifecycle in an industry context.
• Ability to work collaboratively and to present concepts and solutions clearly to diverse audiences.

Desired skills

• Practical experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan) and uncertainty quantification.
• Experience designing evaluation and monitoring frameworks for ML/GenAI/LLM models.
• Relevant experience in a quantitative, structuring or trading role in the financial industry.
• Domain knowledge of financial market methodologies such as stress testing, VaR, and calibration techniques.

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.

Compensation

Expected base pay rates for the role will be between $195,000 and $275,000 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.

Equal Opportunity Employment

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.