Data Science & Analysis (Technology Management)

Key Skills

Java Programming, AngularJS, Python Programming, Django, SQL, REST API, Deep Learning, Docker, Data Analytics, R Programming, Flask, SPARK Programming

Job Description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

Enterprise Technology & Services

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

Job Profile

This Role is for 'Data Analytics Developer' in a Capacity Management team for Enterprise Computing; Developer is responsible for working alongside Operations team, Developing Web applications in Java and Angular JS, responsible to provide additional insights across domains like regression, deep learning, and statistical modelling

Analyse source data, working with structured and unstructured data. Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.

This function helps Capacity Operations team to take informed decisions on capacity management, reduce outages, assist platform consolidation, provide tooling requirements, and build an SLA model for existing and new platforms.

 Qualifications

Skill Set

Skills Required

Mandatory Skills:

Technology: Data Analytics, Python, R, SQL

• Mathematics or statistical background.
• 4 to 5 years of experience in Data Analytics, Time Series Forecasting, ARIMA, ETS, Deep Learning models such as LSTM, CNN.
• Excellent working knowledge of SQL , REST API in Flask or Django.
• Experience in Agile development practices.
• Exposure to working in a global delivery team.
• Comfortable with direct interaction with the business users at all levels.
• Strong ownership mentality with and the focus on production stability and customer satisfaction

Good to have (optional):

• Experience in ML model development using Spark.
• Exposure in using container environment such as docker.
• Working experience in developing web applications in Java and Angular or React
• Infrastructure Engineering Background.
• Financial Services Industry knowledge preferred.