Morgan Stanley | Manager_ Python Developer_Technology | Bengaluru | Bharat | BigDataKB.com | 13 Oct 2022

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Job Location: Bengaluru

Manager_ Python Developer_Technology

Job Number:

3222165

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

DESCRIPTION

Morgan Stanley
Manager_ Python Developer_Technology

Company Profile

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.

Job Profile

  • 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 optimization
  • Educate and evangelize application teams of the best practices on query building and optimization, data modelling and design
  • Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration for each subject area
  • Selecting features, building, and optimizing classifiers using machine learning techniques
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Run projects in Agile way. Actively contribute and participate in daily stand-ups, and Agile Sprint planning and grooming sessions.
  • QUALIFICATIONS

    Primary Skills

  • 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, etc
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Proficiency with Scala / Python and basic libraries.
  • Proficiency in data analysis using complex and optimized SQL and / or above mentioned technologies
  • Understanding of data structures, data modeling and software architecture
  • Experience in architecture, design and implementation of data intensive applications for practical use-cases
  • Exposure to JIRA or other ALM tools to create a productive, high quality development environment
  • Ability and strong desire to learn new languages, frameworks, tools and platforms quickly
  • Good To have Skills

  • In-depth understanding of Machine Learning and Statistics, in addition to above
  • Experience in domains — Financial Risk and Log Analytics
  • Worked on large scale Anomaly Detection use cases
  • Practical 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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