JPMorgan CIB Payment Ops Data Engineer Sr Associate 

Philippines, Quezon City 

449824316

Responsibilities:

• Facilitate requirements definition, design, testing, and implementation of new data delivery and analytic capabilities that address specific business needs for Payments Operations.
• Define data (metadata), identify systems of record and authoritative sources, create data quality rules, create data flow diagrams, and apply firm-wide standards and controls.
• Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects; consult enterprise and industry models.
• Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, SAS, or Scala.
• Conduct business process analysis and identify data needed to support the processes. Determine whether the requested data is fit for use within a given process.
• Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm.
• Work with Tech, Product and CIB data partners to research, define, and implement use cases
• Work closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop / foster new ideas

Qualifications:

• 3+ years of relevant work experience as a software developer, data/ML engineer, data scientist, business intelligence engineer
• Minimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subject
• Analytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiences
• Experience or knowledge in at least one data technology; i.e., data warehousing, ETL, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning, etc.
• Experience using common relational database systems; i.e., Teradata and Oracle with strong SQL skills
• Cloud platform knowledge; hands on experience with Databricks or Snowflake
• Hands-on experience with data modeling
• Knowledge of the SQL, SAS or Scala, and Python languages
• Knowledge of Advanced Statistics
• Domain Expertise