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Morgan Stanley | Jobs | AI / ML Dev (Application Development) | BigDataKB.com | 01-04-22

Job Location: Bangalore

AI / ML Dev (Application Development)

Job Number:


POSTING DATE: Apr 1, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelor’s Degree
JOB: Development
JOB LEVEL: Associate
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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

We are seeking a Machine Learning Engineer with expertise in design and development of data and ML centric applications at scale. The right candidate would have a background in data engineering and requisite familiarity and experience working with Machine learning (ML) algorithms and Frameworks. The role is a confluence of engineering expertise (programming) with understanding of ML and data analysis applications. Knowledge of Data Science is a plus. This position is for the Wealth Management Advanced Analytics and Machine learning team which is part of Artificial Intelligence and Knowledge Management group within Morgan Stanley Wealth Management. The team is comprised of members located in NY-United States, Mumbai-India and Bengaluru-India. The team partners with various businesses and IT groups within firm to develop analytics and ML powered solutions aimed at Fraud prevention, Network security applications including, but not limited to Payment activity monitoring,
Network device profiling, anomaly detection, malicious activity detection, spatial and temporal graph analytics. The team accumulates data from a variety of internal and external sources in order to develop statistics, models, dashboards and metrics for WM Risk prevention.

The right candidate has (Responsibilities);

  • Design and develop applications that power our ML platform and enable ML Ops adoption
  • Curate and document best practices to be followed by IT and Business organizations for seamless ML development, partnership and efficiently move projects from ideation to production
  • Identify issues faced by Data and ML analysts, data scientists and visualization teams. Develop solutions that integrate with existing platform to solve the same
  • Co-ordinate with Data, AIML, Cloud and other CoE organizations to explore and evaluate state-of-art existing products and solutions available in the wider ecosystem / marketplace
  • Participate in transformation initiatives and (rapid) prototype ideas and solutions and reduce time-to-market
  • Ensure data integrity through ? Data quality, validation, Governance and Transparency


Primary skills

  • Experienced professional with 4-8 years of experience developing and implementing ML pipelines in Big data ecosystem i.e. Hadoop, Spark, Kafka, HBase, Hive / Impala, Cassandra, MongoDB or any other similar distributed computing technology
  • Proficiency with Scala / Python and basic libraries for machine learning such as scikit-learn, pandas, deep-learning
  • Expertise in applied Machine learning and statistical modeling techniques in Python / Java / Scala. Experience using ML platforms such as Dataiku / Databricks is a plus.
  • Understanding of modern platforms, design patterns and cloud-based technology offerings
  • Understanding of data structures, data modeling and software architecture
  • Proficiency in data analysis using complex and optimized SQL and / or above mentioned technologies
  • Experience in architecture, design and implementation of data intensive applications for practical use-cases
  • Ability to work in fast paced and dynamic environment
  • Good written and verbal communication skills
Good to have skills

  • In-depth understanding of Machine Learning and Statistics, in addition to above
  • Experience in domains ? Financial Services
  • Practical knowledge of Natural Language Processing (NLP) and/or Neural network implementation
  • Tableau for data visualization
  • Experience working in an Agile environment

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