Analytics Solutions Manager, Wholesale Lending Services

JP Morgan Chase; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

JP Morgan Chase seeks an Asan Analytics Solutions Manager in Wholesale Lending Service Data & Analytics to drive operational excellence through advanced analytics. You will partner with cross-functional teams to deliver actionable insights and optimize business processes, supporting strategic decision-making with robust data analysis and business intelligence solutions.

You will design and implement data-driven strategies, develop predictive models and dashboards, and communicate findings to

Qualifications

• Bachelor’s degree in data science, statistics, CS, or related field.
• 5+ years of hands-on data analytics experience in financial services or lending operations.
• Proficiency in Python, SQL, and data visualization tools like Tableau or Alteryx.
• Machine learning techniques and operational analytics applied to business challenges.
• Strong communication with executive audiences and ability to work under deadlines.

Responsibilities

• Analyze large-scale datasets to identify trends and inefficiencies.
• Develop predictive models and dashboards for lending operations and risk.
• Collaborate with business, technology, and analytics teams to translate requirements.
• Monitor agent performance with quantitative metrics to boost productivity.
• Design data-driven strategies for AI and BI effectiveness.
• Communicate findings to senior executives clearly.
• Drive process improvements using actionable data insights.
• Ensure data integrity and quality across analytics deliverables.

Skills

Python

SQL

Tableau

Alteryx

Machine learning

Education

Bachelor's degree in data science, statistics, computer science, or related field

Master's degree in data analytics or related field

Tools

Tableau

Alteryx

Job description

Job Summary

Asan Analytics Solutions Manager in Wholesale LendingService Data & Analytics, you drive operational excellence through advanced analytics. You partner with cross-functional teams to deliver actionable insights andoptimize business processes. You support strategic decision-making byleveraging robust data analysis and business intelligence solutions.

Job Responsibilities

• Analyze large-scale operational datasets toidentify trends and inefficiencies.
• Develop predictive models and dashboards for lending operations and risk management.
• Collaborate with business, technology, and analytics teams to translate requirements into solutions.
• Monitor agent performance using quantitative metrics to enhance productivity.
• Design and implement data-driven strategies for agentic AI and BI effectiveness.
• Communicate findings and recommendations to senior executives clearly and professionally.
• Drive process improvement initiatives using actionable data insights.
• Leverage statistical techniques to support operational decision-making.
• Automate reporting and analytics workflows for efficiency gains.
• Ensure data integrity and quality across all analytics deliverables.

Required Qualifications, Capabilities, and Skills

• Hold a bachelor’s degree in data science, Statistics, Computer Science, or related field.
• Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations.
• Exhibit proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Alteryx).
• Apply machine learning techniques and operational analytics to business challenges.
• Solve complex problems and deliver succinct, actionable insights.
• Communicate effectively with executive audiences, presenting complex data clearly.
• Manage multiple projects and deadlines in a fast-paced environment.

Preferred Qualifications, Capabilities, and Skills

• Earn a master’s degree in data analytics or related field with 3+ years of experience.
• Demonstrate experience in financial services or lending operations.
• Lead management consulting engagements related to analytics.
• Utilize advanced statistical modeling for operational improvement.
• Mentor junior analysts and foster a collaborative team culture.