Job Description:

The candidate will be responsible for building data monitoring and controls primarily for Risk Decision Engines and Third-party services within Consumer and Community Banking. The candidate will be expected to have a detailed understanding of system requirements, 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:

- Data Quality and Risk Management: Design, validate, and monitor data quality controls and detective controls to mitigate risks arising from decision engine, strategy, and system changes.

- Data Analysis and Validation: Leverage SAS, SQL, Python, and reporting tools to analyze large datasets, perform reconciliations, trend analysis, outlier detection, and post-implementation validations.

- Stakeholder Collaboration and Issue Resolution: Partner with business, technology, and risk stakeholders to gather requirements, define business rules, investigate production issues, and drive resolution and process improvements.

- Automation and Governance: Lead reporting and monitoring automation initiatives, maintain documentation and lineage controls, and ensure compliance with risk governance, RCSA, and control requirements.

Qualifications:

- Bachelor's or Master's degree in Engineering, Computer Science, or a related field.

- Strong programming and database skills, including SAS, SQL, Python, and experience with Oracle, Teradata, or similar platforms.

- Solid analytical and problem-solving abilities with expertise in data analysis, data warehousing, and data quality management.

- Hands-on experience with BI and visualization tools such as Tableau, Power BI, QlikView, Alteryx, and the Big Data ecosystem.

- Strong leadership, communication, and organizational skills, with the ability to work independently and collaboratively in a team environment.

- Experience working in Agile frameworks, managing time-sensitive deliverables, and maintaining a high level of attention to detail.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

Note: For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.