Morgan Stanley
Bangalore
Investment Banking & Asset Management
AI / ML Developer (3 to 6 Years)
Job Number:
3197885
POSTING DATE: Jan 13, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelor’s Degree
JOB: Development
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate
DESCRIPTION
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 Expert with expertise in design and development of data and ML centric applications at scale. This position is for the Wealth Management Analytics & Data 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, and Bengaluru-India. The team partners with various businesses within firm to develop analytics and ML powered solutions. The team is the central team of Data Sciences catering to different areas of Wealth Management Business. Position offers an opportunity to understand WM business in entirety and interact with multiple stakeholders.
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 Expert with expertise in design and development of data and ML centric applications at scale. This position is for the Wealth Management Analytics & Data 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, and Bengaluru-India. The team partners with various businesses within firm to develop analytics and ML powered solutions. The team is the central team of Data Sciences catering to different areas of Wealth Management Business. Position offers an opportunity to understand WM business in entirety and interact with multiple stakeholders.
QUALIFICATIONS
Skill Set
- 4-6 years of working across Analytics & Machine Learning domain
- Proficiency in machine learning and data mining techniques – Feature engineering, regression, classification, clustering, time series analysis etc.
- Extensive experience in Data Analysis – Skilled in uncovering insights and identifying patterns
- Proven experience in predictive modelling using Python/Spark
- Good understanding of Statistics.
- Must have strong SQL experience
- Expertise in handling large data volumes in distributed systems
- Strong command over Big Data technologies – Hadoop, Hive, Impala
- Good experience in Linux-based Environment
- Ability to work in fast paced and dynamic environment.
- Excellent Communication and presentation skills
- Experience working with global teams.
Good to Have
- Understanding of various Visualization platforms (Tableau, Qlikview, others)
- Experience with Java or Scala will be a big plus.
- Experience of developing Data Pipeline for ML Applications
- Exposure to NLP and Text mining
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