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Python Developer - Software Engineer - Parametric

Min Experience

4 years

Location

Mumbai, Maharashtra, India

JobType

Full time

About the role

The Software Engineer on the Equity Investments and Client Activities team at Parametric is a hands-on contributor who plays a critical role in building tools to support portfolio management and culture of data-driven enhancements to our process. PRIMARY RESPONSIBILITES - Understand existing legacy data flow process for multiple systems, then leverage that knowledge to propose, develop and implement an optimized data flow pipeline using Python. - Using in-flight and existing data sets / data lake, develop required transformational & curated data sets which can be used for more than one data pipeline. - Infuse creativity in creating and reducing manual ways of data reconciliation by developing reconciliation ETL model Increase efficiencies and reduce manual processes by Developing an ETL model for data reconciliation. - Think outside the box to design and develop complex dashboards. - Create quick reporting dashboards in Tableau/ Power BI for senior leaders in Operations. - Replace manual reporting process in Excel and use available data sets to enrich existing reports. - Identify different techniques available for data enrichments. - Leverage a deep understanding of operations data in all aspect of work.

About the company

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. Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.

Skills

Data Analyst
Software Development
Big Data
Python
SQL
JavaScript
REST
Docker
OAuth