ABOUT MORGAN STANLEY

　　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.

　　ABOUT PARAMETRIC

　　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.

　　This role is part of Parametric's hybrid working model, which includes working in the office 2-3 days a week and choosing to work remotely or in the office the remaining days of the week.

　　ABOUT TEAM

　　ARC (Automation, Reinvention & Collaboration) team is part of Parametric Operations. This team is core to success of Parametric Operations and is inclined with vision of Ops2.0. This team works on identifying opportunities, developing prototype, building custom solutions and its implementations. This team also works with core technology team as SME from Operation.

　　ABOUT THE ROLE

　　As part of the Global Operations Team, the Operations Data Analyst is a hands-on contributor who plays a critical role in building an ecosystem and culture of data-driven decision making in Operations.

　　PRIMARY RESPONSIBILITIES

　　· Understand existing legacy data flow process for multiple systems, then leverage that knowledge to propose, develop and implement an optimized data flow pipeline using Alteryx / 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/ powerBI 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

　　SKILL SET

　　Required Experience: 4 yearsSkill set: Data Analyst / Software Development / Big Data / Python

　　Primary Skills:

　　· Bachelor’s Degree (4 year degree) in Computer Science/Engineering, or similar required**

　　· 4 years of software development experience as an individual contributor; with no less than 4 years’ experience as a data analyst

　　· Must have developed big data transformation data set from multiple sources having unorganized, internal, external and reference data sets using Alteryx.

　　· Experience in building reusable data transformation pipeline using Alteryx or Python

　　· Hands on experience in data enriching using Python

　　· Must have developed complex and efficient with minimum load time Tableau dashboard

　　· Understanding of big data eco system is required

　　· Methodology & Technology – Alteryx, Tableau/PowerBI, Python

　　Good to Have Skills:**

　　*· Financial industry experience specially in top tier financial GCC

　　· Should be able to challenge BAU

　　· Logical in approach and successful in a startup environment

　　· Front office operations experience is strongly preferred

　　· Ability to understand business requirement and convert that into technological implementations

　　· Quick learner , helpful, dependable & innovative

　　Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.

　　Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

　　Job: *Technology

　　Title: Associate - Operations Data Analyst - Investment Management (Parametric)

　　Location: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)

　　Requisition ID: 3245226