The Analytics & Data (A&D) team within Morgan Stanley Wealth Management Strategy and Analytics owns all the management reporting, customer and product behavior insights, and predictive modeling in support of Wealth Management, Banking, and Firmwide Marketing.

The A&D Bank Analytics team specifically is responsible for delivering analytics to inform Bank strategy, accelerate growth and improve business outcomes across our deposits and lending segments. As part of this global team, you will collaborate with cross-functional partners across Bank senior leadership, product, sales, marketing and technology areas to solve unique business challenges, influence change and measure impact.

The ideal candidate is a collaborative, data-driven thinker who demonstrates

• Strong communication and data-driven storytelling skills
• Exceptional command of data mining tools and languages such as SQL and Python
• An AI-first mindset to improve productivity and process efficiency
• Curiosity to learn about diverse financial products and business practices
• Ability to lead analytical projects end-to-end

Key Responsibilities

• Collaborate with a diverse set of business partners to identify business problems and how they relate to Bank’s key strategic objectives
• Design customized analytical solutions with a clear project plan, encompassing hypotheses development, methodology review and timelines for delivering actionable insights, recommendations and next steps
• Develop large analytic datasets, research trends, develop baseline view of business metrics and drivers, and iterate through comprehensive analyses in close partnership with stakeholders
• Seek process, programming and data structure enhancements to improve team’s analytic throughput at scale using AI capabilities
• Execute on opportunities to deploy learnings, methodology and logic to drive broader strategic objectives

Required Competencies 

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science or related field. Master’s degree in a related field would be a plus
• Strong background with SQL and Python required. Experience with Dataiku, SAS and Tableau would be a plus
• Experience applying diverse statistical tools and techniques to solve business problems
• Strong analytics and data management experience to drive exploratory, advanced analytic and measurement deliverables
• Succinctly communicate ideas, recommendations, and tell stories using analytics to business audience, including senior management, and influence decision making
• Self-starter with strong and creative problem-solving skills
• 3+ years of related work experience. Experience in financial services preferred, ideally with Banking and\or Lending background

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.

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's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).