Morgan Stanley | Sr AssociateManagerPythonData EngineeringTechnology | Bengaluru | Bharat | BigDataKB.com | 22 Oct 2022

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Job Location: Bengaluru

Sr Associate/Manager_Python/Data Engineering_Technology

Job Number:

3226209

POSTING DATE: Oct 20, 2022
PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
EDUCATION LEVEL: Bachelors Degree
JOB: Development
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Associate

DESCRIPTION

About Us
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 Firms employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.
Technology/Role/Department at Morgan Stanley
Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firm’s businesses to be the top in the market. Our India technology teams are based in Mumbai and Bengaluru. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.
Department profile:
Morgan Stanley Investment Management Technology exclusively partners with the Morgan Stanley Investment Management business division to design and develop systems and integrate vendor products to globally support full life cycle business processing. Activities include Portfolio Analysis, Risk, Trading, Operations, and Sales & Marketing. Morgan Stanley Investment Management (MSIM) Technology also provides holistic support and quality assurance across the suite of applications used in the MSIM environment.

Position Overview:
Morgan Stanley Investment Management is one of the largest asset managers in the world. It offers a wide range of products and services, including a large family of domestic and international Equity, Fixed and Multi-asset class funds for individual and institutional investors. With over 30 years of global investment experience, IM offers its clients the personalized attention and service of a boutique, the intelligence and creativity of some of the brightest professionals in the industry and the global resources of Morgan Stanley. Comprehensive suite of investment strategies are designed to help meet the diverse needs of institutional investors throughout the world.
The position is for a full stack developer within the Data Strategy team at MSIM. The candidate is expected to work on projects and platform that help drive data driven decision making and generate insights for Investment professionals.

QUALIFICATIONS

Skills Required:
    Experience: 3-8 years
    Skill Set: Python / Data Engineering / Spark / Machine Learning
    Experience with Python /Spark
    Expert-level core Python knowledge in a UNIX/Linux environment; minimum 3 years
    Experience developing & designing complex, data-driven systems in Python, ideally with a Web / HTML5 component
    Expertise with Python and UI components used in a production environment
    Experience with automated testing frameworks
    Strong enthusiasm for code quality, and desire to build long-standing and stable systems
    Strong communication skills, both technical and otherwise, that can be leveraged to collaborate with a diverse set of stakeholders
    Numpy / pandas / Plotly / Flask/ Jupyter/Backtesting libraries and general data science stack
    Experience thorough understanding of programming fundamentals such as OOP, Data Structures and Algorithm Design
    Strong interpersonal skills and team spirit is required in addition to proficiency in verbal and written business communications. We support what we build – individual will be responsible for post-production support on a rotation basis.

Good to have skills
    Experience with Azure ADF, Databricks, Enterprise Dash
    Experience with Spark, Spark Streaming, Kafka, MLLib
    Experience with Docker, Kubernetes




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