Quant Analytics - Senior Associate

JPMorganChase•Chicago, IL

11d

About The Position

Join the Commercial & Investment Banking Finance & Business Management team as a Senior Associate, Quant Analytics. In this high-visibility role, you will partner with senior managers to deliver advanced analytics globally, supporting strategy and execution for Client Onboarding & Service. Develop your expertise in business processes and analytics to solve complex business challenges and drive impactful results. As a Senior Associate in Quant Analytics, you will advance the business analysis and reporting agenda, create dashboards and reporting for capacity modeling, and deploy advanced analyses at scale. Your role involves extracting insights from data, building relationships with stakeholders, and delivering executive-level presentations.

Requirements

Bachelor’s degree in a quantitative or related field (Data Analytics, Computer Science, Finance, etc.).
Minimum 4 years of experience using data technology to solve complex business problems.
Hands-on expertise in multiple Business Intelligence toolsets and database platforms.
Tableau and SQL/coding experience.
Knowledge and experience with analytical, modeling, and statistical methodologies.
Strong quantitative and problem-solving skills with the ability to multi-task in a fast-paced environment.
Excellent interpersonal and communication skills.
Highly motivated, proactive attitude, with a passion to learn and an inquisitive personality.
Excellent problem-solving and critical thinking skills with the ability to interpret and present complex data.

Nice To Haves

Knowledge of Alteryx, Python/R, and Qlik Sense.

Responsibilities

Advance business analysis and reporting focused on insights delivery for staffing models, volume forecasts, cost modeling, and expense allocations.
Partner with Business & Analytics teams to create dashboards and reporting for capacity modeling and client costing.
Identify opportunities to deploy advanced quantitative and statistical methodologies at scale.
Develop a deep understanding of systems and processes to extract insights and recommend data quality enhancements.
Build trusted relationships with stakeholders, cross-functional partners, and leadership.
Create executive-level presentations using PowerPoint PitchPro+.
Analyze and interpret complex data to support business decision-making.
Recommend enhancements to improve data quality and analytics processes.
Support the execution of business modeling and analytics programs.
Collaborate with management teams to align analytics initiatives with business objectives.
Communicate findings and recommendations clearly to senior management.