JPMorganChase Logo

JPMorganChase

Data Scientist/Analyst

Posted 2 Hours Ago
Hybrid
Chicago, IL
Senior level
Hybrid
Chicago, IL
Senior level
Analyze large-scale lending operations data, develop predictive models and BI dashboards, automate reporting, ensure data quality, and deliver actionable insights to improve processes, agent performance, risk management, and executive decision-making. The role partners with business and technology teams, applies statistical and machine learning techniques, supports agentic AI strategies, and communicates recommendations to senior leaders.
The summary above was generated by AI

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.

 

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including 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 beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamJ.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. 

JPMorganChase San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

One Month Ago
Hybrid
89K-145K Annually
Junior
89K-145K Annually
Junior
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Develop machine learning, deep learning, statistical, and Generative AI solutions using equipment and telematics data. Build models for anomaly detection, failure prediction, remaining useful life, and risk assessment. Support digital products through reliability monitoring, incident response, automation, connectivity planning, technical analysis, and performance optimization. Partner with engineers and data scientists on AI, analytics, IoT, and digital product initiatives.
Top Skills: Cloud PlatformsData Visualization ToolsDeep LearningGenerative AiIotMachine LearningPrompt EngineeringPythonSQLStatistical ModelingTelematicsTime-Series Analysis
16 Minutes Ago
Hybrid
5 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads technology cost and value initiatives for corporate deals, advising clients on IT spending, savings, vendor management, technology rationalization, and value realization. Evaluates budgets, performance metrics, profitability, and business impact; guides multidisciplinary teams through planning and delivery; aligns technology solutions with business priorities; communicates recommendations to senior stakeholders; and coaches team members through complex and ambiguous situations.
16 Minutes Ago
Hybrid
5 Locations
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports Workday Adaptive Planning implementations for financial planning, budgeting, forecasting, and reporting. Responsibilities include configuring and testing models, calculations, reports, and integrations; gathering finance requirements; validating and reconciling data; preparing documentation; supporting client meetings; resolving issues; and assisting user adoption. The role requires at least a bachelor’s degree, one year of Workday product experience, and current pursuit of or an applicable Workday Pro certification.
Top Skills: WorkdayWorkday Adaptive PlanningWorkday Pro

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account