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Job Overview

Category

CA, CFA, CMA, MBA, MCOM/BCOM, CS

Job Role

Investment Banking

Gender preferred

No Preferences

Functional Area

Work preferred

Work from Office

Qualification

Graduation

Any Graduation

Post Graduation

Any Post Graduation

Description



Data Engineering (4- 8 years)








Job Number:


3220796




POSTING DATE: Aug 1, 2022


PRIMARY LOCATION: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)


EDUCATION LEVEL: Bachelor's Degree


JOB: Engineering


EMPLOYMENT TYPE: Full Time


JOB LEVEL: Associate






DESCRIPTION




Description

Company and Department Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. As a market leader, the talent and passion of our people is critical to our success. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow.

Operations Technology is responsible for building and operating the technology platform catering to critical business processes at Morgan Stanley including Settlements, Confirmations, Regulatory Reporting, Position Keeping, Corporate Actions processing and other post-trade functions. The Firm operates at scale with up to 40 million trades processed on peak volume days and hundreds of billions of dollars of daily settlements with activity ongoing in multiple countries and currencies across the globe. There is a great breadth of financial products that our Operations plant handles across equity and fixed income, from cash products to complex derivatives and loans.

Team Profile

Global Settlements technology team has significant presence in Mumbai, New York and Montreal. We are organized into Agile delivery teams closely aligned with Operations product owners, and there is an opportunity to directly see the business benefit of the solutions we develop through our close partnership with our stakeholders and users. We believe in the forward momentum and progress of technology and aim to harness the very best in new technology and systems design to deliver exceptional capabilities to our businesses.

Role

We are looking for a Senior data engineer. Role requires taking ownership for end to end delivery in an Agile team setting. He/she will interact directly with the users and with other technologists across the firm to build requisite framework and application development for the strategic Settlement platform renovation multi-year initiative. If you have a track record of data modelling, implementing high volume data pipelines and building business intelligence, we'd like to meet you.


Qualifications

Skills required (essential):

Experience of database design & development.

Excellent working knowledge of Data Warehouse / RDBMS.

Sound understanding of Data Architecture Principles, Data Governance, Data Strategy, Data Standards, Data Quality, Data Modelling and Data Definitions.

Proficient in SQL, JSON. Working knowledge of Python / Perl / Java programming.

Experience building ETL jobs & data pipelines.

Experience of Agile development practices.


Skills desired (recommended):

Prior experience in FinTech application development.

Experience in designing cloud-based data pipelines & solutions.

Understanding of Document oriented / NoSQL / Cloud datastore.

Exposure to working in a global delivery team.

Experience of leading and mentoring developers.






QUALIFICATIONS




Description

Company and Department Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

Technology works as a strategic partner with Morgan Stanley business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. As a market leader, the talent and passion of our people is critical to our success. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow.

Operations Technology is responsible for building and operating the technology platform catering to critical business processes at Morgan Stanley including Settlements, Confirmations, Regulatory Reporting, Position Keeping, Corporate Actions processing and other post-trade functions. The Firm operates at scale with up to 40 million trades processed on peak volume days and hundreds of billions of dollars of daily settlements with activity ongoing in multiple countries and currencies across the globe. There is a great breadth of financial products that our Operations plant handles across equity and fixed income, from cash products to complex derivatives and loans.

Team Profile

Global Settlements technology team has significant presence in Mumbai, New York and Montreal. We are organized into Agile delivery teams closely aligned with Operations product owners, and there is an opportunity to directly see the business benefit of the solutions we develop through our close partnership with our stakeholders and users. We believe in the forward momentum and progress of technology and aim to harness the very best in new technology and systems design to deliver exceptional capabilities to our businesses.

Role

We are looking for a Senior data engineer. Role requires taking ownership for end to end delivery in an Agile team setting. He/she will interact directly with the users and with other technologists across the firm to build requisite framework and application development for the strategic Settlement platform renovation multi-year initiative. If you have a track record of data modelling, implementing high volume data pipelines and building business intelligence, we'd like to meet you.


Qualifications

Skills required (essential):

Experience of database design & development.

Excellent working knowledge of Data Warehouse / RDBMS.

Sound understanding of Data Architecture Principles, Data Governance, Data Strategy, Data Standards, Data Quality, Data Modelling and Data Definitions.

Proficient in SQL, JSON. Working knowledge of Python / Perl / Java programming.

Experience building ETL jobs & data pipelines.

Experience of Agile development practices.


Skills desired (recommended):

Prior experience in FinTech application development.

Experience in designing cloud-based data pipelines & solutions.

Understanding of Document oriented / NoSQL / Cloud datastore.

Exposure to working in a global delivery team.

Experience of leading and mentoring developers.


Skills

OperationsSettlementsAgilePython

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