Analytics Solutions Manager, Wholesale Lending Services

JPMC · Chicago, IL, United States

Posted about 10 hours ago

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Skills

PythonSQLTableauAlteryxMachine learningData visualizationStatistical modelingOperational analyticsPredictive modelingBI solutions

Job description

Join Data & Analytics team to shape the future of lending operations through advanced analytics and innovative BI solutions. Collaborate with business leaders to deliver actionable insights and drive operational transformation. Impact senior-level decisions and support strategic growth with robust data analysis. 

 

Job Summary: 
As an Analytics Solutions Manager in Wholesale Lending Service Data & Analytics, you drive operational excellence through advanced analytics. You partner with cross-functional teams to deliver actionable insights and optimize business processes. You support strategic decision-making by leveraging robust data analysis and business intelligence solutions.

 

Job Responsibilities:

  • Analyze large-scale operational datasets to identify 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.

 

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