CCB Risk- Risk Architecture ASSOC

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

The candidate will be responsible to support data analytics and reporting for Risk Decision Engines and Third party services within Consumer & Community Banking. The candidate will be expected to have a detailed understanding of systems, data and business requirements and build data quality and lineage controls. The candidate will also be responsible for data monitoring and reporting and supporting post implementation validations during releases for any changes made to decision engines to ensure accuracy of decisioning and support root cause analysis in case of production issues or defects.

A balance of initiative, leadership, influence and matrixed management skills are important success factors for this role. The right candidate will be comfortable working independently or as part of small project teams. S/he has strong analytical skills, is highly confident and possesses strong communication skills.

This is a critical role and will require both technical and analytical skills and the ability to engage with stakeholders.

Responsibilities:

We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role.

• Provide execution support and leadership for large, complex, technology-dependent programs and projects that cut across business and functional area
• Work with Business/Stakeholders to gather the requirements, understand the business logic and define Data Quality rules/validation checks
• Liaise with business key stakeholders to ensure vendors have clear specifications for each project and/or initiative
• Understanding of how data is created, transformed, and used within and across business processes and ability to analyze and interpret huge volumes of complex data from multiple source for reconciliation purpose.
• Build Data/ Detective Controls and data monitoring Reports to mitigate risk resulting from changes that impact Risk Decision Engines & Third party services
• Leverage a variety of analytical, technical and statistical applications SAS, SQL, Python, PySpark to analyze and validate trends, data lineage and statistical data quality of critical bureau attributes and scores used in decisioning.
• Lead root cause/ Outlier analysis in case of production issues or defects.
• Process Automation - Be able to lead and deliver on automation of reporting processes to drive efficiencies
• Responsible for data visualization and enhancements of current reports leveraging interactive reporting tools such as Tableau, Alteryx, python, pyspark
• Identifies areas of improvement with existing processes and develops solutions that meet the business needs
Maintain the appropriate tracking and documentation for all consumption engagements, related processes, flows and functional documentation

Minimum Skills, Experience and Qualifications

• Bachelor’s/Master’s degree in Engineering or Computer Science.
• 8-10 years of experience in data analytics & Reporting
• Experience in managing teams and leading complex projects across products and lines of business
• Strong leadership skills with proven ability to influence change and communicate with diverse stakeholders
• Excellent verbal and written communication skills and ability to work independently under time-sensitive business deadlines
• Strong database knowledge and analytical skills
• Experience with working in Agile framework and familiarity with data warehousing concepts and techniques.
• Experience with Unix and analytical tools such as SAS, SQL, Python, PySpark etc.
• Working knowledge of BI / data visualization tools like Tableau, QlikView, Power BI, Alteryx etc. on the Big Data ecosystem is preferred
• Hands on experience in cloud platforms like AWS/GCP would be preferred.
• Proficient with Microsoft Office suite, particularly Excel and PowerPoint