Data Scientist/Analyst

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

JoinData & 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.