Associate, Data & Analytics Engineer

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

What you'll do in the role:

Morgan Stanley Services Group Inc. is seeking an Associate, Data & Analytics Engineer in South Jordan, UT to use data to create models depicting fraud trends in the customer base and the consumer population as a whole. Create data visualizations to understand fraud trends. Create effective technology solutions in improving efficiency using different analytical techniques and forecasting. Create rules in the rule's engine and conduct pre- and post- production testing to ensure effectiveness. Collaborate with cross- functional groups such as Customer Service, Product Management, Engineering, and Technology to enhance tools, data sources, system functionalities, and fraud detection methods. Communicate trends, findings, proposals, and solutions to management and stakeholders. Measure performance using appropriate tools and techniques. Recommend or introduce new tools used for fraud detection, prevention and reporting activities. Execute complex SQL queries including joins, subqueries, unions, and temporary tables. Telecommuting permitted up to 3 days per week.

What you'll bring to the role:

-Requires a Master's degree in Information Systems, Computer Science, Computer Engineering, or a related field of study.

-Requires two (2) years of experience in the position offered or two (2) years as an Associate, Business Technology Analyst, Systems Engineer, or a closely related occupation.

-Requires two (2) years of experience with the following skills:

• SQL queries including joins, subqueries, unions, and temporary tables;
• data visualization to create interactive dashboards and reports;
• data modeling, validation, testing, and cleansing;
• designing and developing ETL pipelines to support end-to-end dataflows;
• root cause analysis;
• integrating and aggregating data from internal and external sources;
• gathering business requirements from stakeholders and translating into actionable analytics solutions;
• AGILE methodologies;
• enhancing data accuracy through troubleshooting and validation across data layers;
• communicating with stakeholders and executive leadership through presentations and reports;
• cross-functional partnerships with product, technology, and operations teams to improve data capabilities and workflows;
• financial services, data, and products including Online banking, Transaction Data, and Checking and Savings Accounts;
• minimizing operational risk including limiting information shared outside the firm, securing firm data, and authenticating clients.

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.

To learn more about our offices across the globe, please copy and paste into your browser.

Expected base pay rates for the role will be between $97,920 and $97,920 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 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.

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