Join a team where your analytics and reporting work directly strengthens business management and control execution. You will partner closely with stakeholders, turn complex data into clear insights, and build dashboards people trust to take action. If you enjoy problem-solving, delivering measurable outcomes, and working collaboratively across teams, you will find meaningful opportunity and growth here.
As a Quant Analytics Vice President - Business Controls at JPMorganChase within the Business Banking Data and Analytics team, you will support the Chief Administrative Officer organization through analytical exploration, outcome reporting, and report development with an emphasis on control execution and monitoring. You will work directly with internal clients to design, develop, implement, and maintain reporting and dashboard solutions to facilitate business and control management. You will communicate insights clearly and help stakeholders translate findings into practical actions. Your dashboard development will balance speed with rigor, including validation of inputs and identification of anomalies that could affect business decisions.
Job responsibilities
- Develop advanced analytics and reporting solutions (for example: predictive modeling, machine learning, forecasting, simulation, and visualization) to generate actionable insights
- Design, build, implement, and maintain dashboards and reports that monitor business controls, adherence, and exceptions
- Integrate and reconcile data from multiple sources to support outcome reporting and decision-making
- Validate inputs, detect defects, and surface statistical anomalies that could impact business processes or control outcomes
- Partner with stakeholders to define quantifiable goals, understand business drivers, and translate needs into analytics deliverables
- Communicate complex analytical results clearly to varied audiences and multiple levels of management
- Collaborate across functions to improve processes and controls and deliver measurable business results
Required qualifications, capabilities, and skills
- Master’s degree or Doctorate in a related field with 5+ years of applied experience, or Bachelor’s degree in a related field with 7+ years of applied experience (for example: computer science, operations research, physics, mathematics, engineering, econometrics, or statistics)
- Proficiency in data analysis languages such as Python, SAS, or R
- Proficiency with relational databases and strong Structured Query Language (SQL) skills
- Proficiency in standard data mining and analytical methods
- Demonstrated ability to communicate analytical findings clearly and influence business stakeholders
- Strong analytical, interpretive, and problem-solving skills with attention to data quality and reliability
- Ability to manage multiple priorities, deliver in a fast-paced environment, and work effectively with cross-functional partners
Preferred qualifications, capabilities, and skills
- Hands-on experience designing, building, and operating solutions on cloud data platforms (for example: Snowflake, Amazon Web Services, or Databricks) or equivalent
- Experience with data visualization tools (for example: Tableau) or equivalent
- Experience with straight-through processing tools (for example: Alteryx) or equivalent
- Exposure to query optimization and performance tuning in analytic workflows