Job Location: Bengaluru
Manager_ Python Developer_Technology
POSTING DATE: Oct 11, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelor’s Degree
JOB: Development
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate
Manager_ Python Developer_Technology
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.
Wealth Management Technology
Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
Understand business processes, a bigger picture and core ideas behind the developed software.Conduct data model, architecture, and integration design review sessions. Support business analysts and developers with data subject expertise, query building and optimizationEducate and evangelize application teams of the best practices on query building and optimization, data modelling and designDevelop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration for each subject areaSelecting features, building, and optimizing classifiers using machine learning techniquesEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysis.Doing ad-hoc analysis and presenting results in a clear mannerRun projects in Agile way. Actively contribute and participate in daily stand-ups, and Agile Sprint planning and grooming sessions. Experienced professional with 5-7 years of experience developing and implementing applications in Big data ecosystem i.e. Hadoop, Spark, Kafka, HBase, Hive / Impala, or any other similar distributed computing technology and programming languages like Python , R.Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etcExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etcProficiency with Scala / Python and basic libraries.Proficiency in data analysis using complex and optimized SQL and / or above mentioned technologiesUnderstanding of data structures, data modeling and software architectureExperience in architecture, design and implementation of data intensive applications for practical use-casesExposure to JIRA or other ALM tools to create a productive, high quality development environmentAbility and strong desire to learn new languages, frameworks, tools and platforms quickly In-depth understanding of Machine Learning and Statistics, in addition to aboveExperience in domains — Financial Risk and Log AnalyticsWorked on large scale Anomaly Detection use casesPractical knowledge of Natural Language Pro Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.
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