We’re seeking someone to join our CDRR Technology team as a Data Engineer, in Non-Financial Risk Technology to provides IT support to the Morgan Stanley Non-Financial Risk organization. The Financial Crimes Technology department (FCT) is part of the NFRT organization that among other things is responsible for the support of the Firm's Anti Money Laundering (AML), Enterprise Client Risk Ranking (ECRR), Single Client View (SCV), Office of Foreign Asset Control (OFAC) Sanction Screening programs, Negative News Screening programs and Risk Assessments. The AML, Sanctions Screening & NNS programs are supported by an application suite that enables surveillance of firm and client activity, customer identification, as well as ensuring the Firm's compliance with various regulatory requirements.

In the Technology division, 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.

This is Director position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

• Hands on Pyspark Experience in designing and implementing robust ETL framework with error handling and fault tolerance on Distributed cluster environment

• Perform data enquiry, data analysis and data sourcing in Relational and Big Data database environments.

• Develop a thorough understanding of the technology systems, data stores, data pipelines, job streams etc.

• Translate business requirements into data models and program design specifications

• Modify ETL and other programs to implement changes to business requirements

• Respond to questions from business analysts and developers regarding query building and optimization Troubleshoot data issues and work with data providers for resolution. Perform L3support when needed

What you’ll bring to the role:

• At least 5 years financial industry technology experience and knowledge of financial services data

• Experience with coding in all: Pyspark, Python, SQL

• Strong knowledge of relational databases and data modelling

• Strong SQL query-writing skills

• Strong analytical and troubleshooting skills

• Good verbal and written communication skills

Desired Skills:

• Hands-on Experience with Graph Database/Stardog

• Experience with Database Architecture and design principles

• Hands-on experience with cloud-based ETL pipeline development and deployment

• Experience with coding Autosys job definitions

• Experience with Data Modelling tools (e.g., Power Designer)

• Experience and Understanding of Data Quality Rules and Implementation

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 https://www.morganstanley.com/about-us/global-offices​ into your browser.

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.