Morgan Stanley | Hiring | Associate/Senior Associate – Data Engineer / Data Analyst | Mumbai | Bharat | BigDataKB.com | 12 Oct 2022

Job Location: Mumbai

Associate/Senior Associate – Data Engineer / Data Analyst

Job Number:

3224274

POSTING DATE: Oct 11, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Maharashtra-Mumbai (MSA)
EDUCATION LEVEL: Refer to Position Description
JOB: Investment Banking/Sales/Trading/Research
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate

DESCRIPTION

Department Profile
From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the worldโ€™s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets.
Morgan Stanleyโ€™s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs.

Global Markets Group is the offshoring arm of Morgan Stanleyโ€™s Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, strats to risk management.

Primary Responsibilities
Description
Morgan Stanley Research is seeking a Data Engineer / Data Analyst to join our data management team to help manage Research data products. The candidate will work closely with subject matter experts to perform data quality analysis, develop scripts, document and support new and existing data products. The candidate will also coordinate with technology and cross-divisional data teams to help design, test and enhance data pipeline management and distribution systems and processes.

Job responsibilities

    Analyze data, develop transformation scripts, remediate quality issues, and work collaboratively with SMEs to implement and test new data products
    Coordinate with technology teams to design, construct, install, test and maintain data management systems
    Create reusable components and data tools for broader Research department use in accessing and analyzing Research datasets
    Help create and evolve data standards and product documentation
    Provide product support for clients and internal users of data products

QUALIFICATIONS

Skills required (essential)

Technical Qualifications
    Experience with using data profiling tools to query data, identify anomalies, gaps and issues
    Experience in problem solving and performing root cause analysis on data-related issues
    Experience with Python for data analysis and data management activities
    Experience designing and configuring technical architecture to support data management activities
    Experience in data quality management tools/libraries
    Experience working with data in various forms: files (Excel, csvโ€ฆ), relational databases, data warehouses, unstructured data environments (HIVE, Impala)
    General awareness of data management best practices, emerging trends, and challenges
    Experience and/or exposure to financial data; experience with datasets commonly used in investment Research analysis (both macro and Equity) preferred

Required
    Bachelorโ€™s Degree from an accredited higher learning institution required or equivalent combination of experience and education
    2-5 years experience as a data analyst, data engineer/ scientist, business analyst or related quantitative analyst
    2+ years experience in financial services industry (preferred)
    Strong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutions
    Comfortable working in a large organization and interfacing with a broad set of stakeholders across various functions (i.e., Business, IT, Operations)
    Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiences




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