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Build and maintain ETL flows, and Python data quality rules based on requirements provided by the business.

Maintain the schema and content of our operational data stores and data warehouse, on DB2 and Sybase databases.

Respond to support queries and system or data alerts.

Work closely with business users, external vendors, Morgan Stanley’s central IT teams, and other MSIM IT teams globally.

Support and enhance the MSIM Liquidity Framework, Aladdin processes and Regulatory tasks.

Participate in SDLC lifecycle from requirements to development, deployment, and support.

Qualifications

Required Skills

Bachelor’s degree in computer science, mathematics, or other STEM fields

5 to 7 years of professional development experience, preferably worked in an environment that focuses on distributing data via microservices or APIs in Python.

Knowledge of SQL. Experience with any relational database, especially DB2, Microsoft SQL Server, Sybase or Snowflake

Strong knowledge of Service Oriented Architecture/RESTful services

Strong knowledge of Python must require.

Panda Data Frame, FastAPI knowledge must require

Java work experience is added advantage (nice to have)

Experience working in UNIX/Linux environments.

Strong communication skills. Strong ability to clearly document user requirements in Jira epics or stories and to translate those requirements into technical designs.

Preferred Skills

Experience working in the financial services industry and knowledge of the investment management business.

Implementation experience in cloud-based platforms will be a plus.

A strong mathematical background or understanding of financial quantitative calculations, ideally in calculating portfolio analytics (performance, attribution, and risk)