Data Science / Machine Learning - AI Engineer Morgan Stanley
New York, NY

Job Description

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. With offices in more than 43 countries, the people of Morgan Stanley are dedicated to providing our clients the finest thinking, products and services to help them achieve even the most challenging goals. As a market leader, the talent and passion of our people is critical to our success. We embrace integrity, excellence, team work and giving back.

Technology:

The Technology division partners with our business units and leading technology companies to redefine how we do business in ever more global and dynamic financial markets. Our sizeable investment in technology results in leading-edge tools, software, and systems. Our insights, applications, and infrastructure give a competitive edge to clients' businesses and to our own.

Technology Risk (TR) enables the Firm to manage risks through implementing proactive, comprehensive and consistent risk management practices which protect the franchise while capturing business opportunities. The TR team partners with the business by ensuring that Technology understands how to manage, escalate and monitor risk.

Position Description:

The Access Management (AM) Team within Technology Risk (TR) department is responsible for engineering and developing access management solutions for the firm. The AM platform is built using Service Oriented Architecture (SOA) and consists of several proprietary software products to manage and enforce entitlements within and outside the firm. Services are exposed using open standards including Restful JSON and SOAP. The server side products within the platform leverage Java, Sybase and DB2 with client-facing APIs in Java, C , C# and Perl. Our UI layer utilizes AngularJS.

The successful candidate will act as a data scientist who understands the domain, is able to work with data to draw insights and visualize and present results in a way that helps us improve operational processes to effectively manage and reduce the risk of overentitlement given the size and dynamic nature of entitlement data. The position is required to build AI/ML solutions to assist in the development of entitlement analytic tools. These tools will be used to simplify entitlement reviews and help approvers in effective decision making by providing metrics. Observing the reviewers behavior in smaller, but more focused decisions will allow us to train models that will assist in improving the quality of decisions and managing access management risk in the future. The position involves skills in a number of emerging technologies, including big data and data mining solutions to identify data of interest to our models, AI/ML methodologies that will develop and train the models and UX expertise in how to present this information to users in a way that will enable them to make effective decisions as well as manage and control bias.

Skills that would be critical for the role are Python/R/Java and Apache suite of products such as Spark/Kafka/NiFi.. Knowledge and experience in machine learning libraries is required. Work with Tensorflow/Keras/scikit-learn/StatsModels or other similar libraries is also desired.

The position is based in New York and will require interaction with teams in Shanghai, India and Montreal. We're looking for a hands-on Developer who is smart, analytical, passionate and innovative.

Required:

The successful candidate will be expected to have:

Proficient with Python and R

Experience with Apache Spark/Kafka/NiFi/ Graph databases and ML libraries like Keras/TF/scikit-learn

Experience with visualization tools like Tableau, QlikView etc.

Strong understanding of Object-oriented programming and Service Oriented Architecture (SOA)

Experience in Design and Implementation of Client-Server and multi-tier Internet applications using Java and J2EE technologies

Proficient in writing SQL queries and Stored Procedures for DB2 databases.

Experience in Service Oriented Architecture (SOA) for Web Services using SOAP, REST