JPMorgan Consumer Banking - Risk Architecture Data Analytics Associate 

India, Maharashtra, Mumbai 

596942898

Job responsibilities

• Include the use of querying tools, reports and analyses to mitigate risk resulting from changes made to our decision engines.
• Understand of how data is created, transformed, and used within and across business processes and ability to analyze and interpret huge volumes of data from multiple source for reconciliation purpose.
• Work with Business/Stakeholders to gather the requirements, understand the business logic and define Data Quality rules/validation checks
• Leverage a variety of analytical, technical and statistical applications (SAS, SQL, Python) to describe, analyze, and validate trends in large complex data sets. Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions.
• Identify and resolve concerns by assisting developers, project managers, technology leads, production support, business/underwriting, and Risk Strategy Stakeholders with inquiries.
• Research production tickets/defects – including monitoring, reporting, and resolution with appropriate stakeholders, including identification of process improvement opportunities and automation
• Build Detective Controls and data monitoring Reports to mitigate risk resulting from changes that impact Risk Decision Engines & Third party services
• Support Outlier analysis and ad-hoc risk based analysis i.e. descriptive metrics, trend analysis, customer profiling, performance reporting, data monitoring, Build lineage controls, seasonality etc.
• Lead and deliver on automation of reporting process using tools like SQL, VBA Coding, Tableau, Cognos and Alteryx
• Assess potential end-user or customer impacts for Strategy changes. Liaise with business key stakeholders to ensure vendors have clear specifications for each project and/or initiative. Maintain the appropriate tracking and documentation for all consumption engagements, related processes, flows and functional documentation. Maintain appropriate Risk Control Self Assessments (RCSA’s) and business analysis/ requirements

Required qualifications, capabilities, and skills

• Bachelor’s/Master’s degree in Engineering or Computer Science.
• Strong Leadership, organizational skills, communication skills and the ability to work independently.
• Strong SAS, SQL and python and/or other Oracle and/or Teradata database tools
• Strong database knowledge and analytical skills
• Proficient with Microsoft Office suite, particularly Excel and PowerPoint
• Ability to work as part of a team
• Capacity to work under time-sensitive business deadlines
• Strong attention to detail. Excellent verbal and written communication skills and Capacity to work under time-sensitive business deadlines
• Working knowledge of BI / data visualization tools like Tableau, QlikView, Power BI, Alteryx, etc. on the Big Data ecosystem
• Knowledge of Data Quality Management/Tools. Experience with working in Agile framework and familiarity with data warehousing concepts and techniques.