hackajob
Base Pay Range
$118,750.00 – $195,000.00 per year Job Description
Join the Commercial & Investment Banking Finance & Business Management team as a Vice President, Quant Analytics. In this high‑visibility role, you will partner with senior managers to deliver advanced analytics and business modeling programs that drive strategy and execution for the Client Onboarding & Service organization. You will develop expertise in core business processes, build a best‑in‑class analytics program, and solve complex business challenges globally. Job Responsibilities
Advance business analysis and reporting focused on insights 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 and deploy quantitative and statistical methodologies for advanced analyses 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+ to communicate analysis and insights. Analyze complex data sets to support strategic decision‑making. Support the execution of business modeling and analytics programs. Collaborate with management to align analytics initiatives with business objectives. Present findings and recommendations to senior management. Continuously seek opportunities to improve analytics processes and outcomes. Required Qualifications
Bachelor’s degree in a quantitative or related field (Data Analytics, Computer Science, Finance, etc.). Minimum 6 years of experience using data technology to solve complex business problems. Hands‑on expertise with multiple Business Intelligence toolsets and database platforms. Proficiency in Tableau and SQL/coding. 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. Ability to build strong working relationships with management and team members. 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. Preferred Qualifications
Experience with Alteryx, Python/R, and Qlik Sense. About Us
J.P. Morgan Chase is one of the oldest financial institutions, offering innovative financial solutions to millions of consumers, businesses, and institutions worldwide. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small‑business banking, commercial banking, and financial transaction processing. EEO Statement
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees’ religious practices and mental or physical disability needs.
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$118,750.00 – $195,000.00 per year Job Description
Join the Commercial & Investment Banking Finance & Business Management team as a Vice President, Quant Analytics. In this high‑visibility role, you will partner with senior managers to deliver advanced analytics and business modeling programs that drive strategy and execution for the Client Onboarding & Service organization. You will develop expertise in core business processes, build a best‑in‑class analytics program, and solve complex business challenges globally. Job Responsibilities
Advance business analysis and reporting focused on insights 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 and deploy quantitative and statistical methodologies for advanced analyses 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+ to communicate analysis and insights. Analyze complex data sets to support strategic decision‑making. Support the execution of business modeling and analytics programs. Collaborate with management to align analytics initiatives with business objectives. Present findings and recommendations to senior management. Continuously seek opportunities to improve analytics processes and outcomes. Required Qualifications
Bachelor’s degree in a quantitative or related field (Data Analytics, Computer Science, Finance, etc.). Minimum 6 years of experience using data technology to solve complex business problems. Hands‑on expertise with multiple Business Intelligence toolsets and database platforms. Proficiency in Tableau and SQL/coding. 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. Ability to build strong working relationships with management and team members. 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. Preferred Qualifications
Experience with Alteryx, Python/R, and Qlik Sense. About Us
J.P. Morgan Chase is one of the oldest financial institutions, offering innovative financial solutions to millions of consumers, businesses, and institutions worldwide. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small‑business banking, commercial banking, and financial transaction processing. EEO Statement
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees’ religious practices and mental or physical disability needs.
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