Build data solutions, extract insights, design metrics, collaborate with various departments, lead analytics initiatives, and develop machine learning models.
Job Description
DESCRIPTION:
Duties: Build data solutions and extract insights from big data environments to design metrics and conduct in-depth analyses that drive business decisions. Partner with leaders across the business of Sales, Marketing, Finance and Account Management to deliver high-impact analytics. Establish strong partnerships with our stakeholders across Chase Payment Solutions. Collaborate with analytics and non-analytics groups to design solutions and provide actionable insights. Drive the execution of analytics and data science initiatives. Analyze data from a variety of data sources and identify key insights. Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions. Interpret analytical results and present findings to stakeholders. Build data visualization and provide ongoing enhancements to business dashboards. Experiment, develop, and produce high-quality machine learning models that drive business growth.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Data Science, Business Analytics, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Business Analyst, or related occupation.
Skills Required: This position requires any amount of experience with the following: Creating and maintaining dynamic and interactive dashboards using Tableau and Looker leveraging ETL automation, ODBC connector; creating advanced visualizations including heat maps, drill-down charts and tools including parameters, and LOD (Level of Detail) expressions; Conducting in-depth exploratory data analysis within large enterprise databases (Terabytes- scale) using SQL via CTE and window functions; transforming raw data into actionable insights using Python libraries including Pandas and NumPy for data manipulation, scikit-learn for machine learning, matplotlib, and seaborn for data visualization; Presenting data findings, model results, and performance metrics to cross- functional teams and translating complex analyses into strategic recommendations for business growth; Designing and building robust, scalable data processing and model training pipelines by leveraging Random Forest and K-Nearest Neighbors (KNN) machine learning algorithms; Developing, optimizing, and producing predictive modeling pipelines by Tree-based Pipeline Optimization Tool (TPOT) python libraries that automate hyperparameter tuning and model selection to enhance prediction performance and model efficiency; Automating and streamlining ETL workflows in order to produce recurring reports and data updates leveraging Excel and Alteryx workflows; Leverage advanced Excel functionalities including vlookup, index match, and pivot tables; PySpark and Snowpark data science libraries in Python; and data engineering pipelines for big data.
Job Location: 3223 Hanover St, Palo Alto, CA 94304.
Full-Time. Salary: $148,699 - $170,000 per year.
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 Team
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.
DESCRIPTION:
Duties: Build data solutions and extract insights from big data environments to design metrics and conduct in-depth analyses that drive business decisions. Partner with leaders across the business of Sales, Marketing, Finance and Account Management to deliver high-impact analytics. Establish strong partnerships with our stakeholders across Chase Payment Solutions. Collaborate with analytics and non-analytics groups to design solutions and provide actionable insights. Drive the execution of analytics and data science initiatives. Analyze data from a variety of data sources and identify key insights. Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions. Interpret analytical results and present findings to stakeholders. Build data visualization and provide ongoing enhancements to business dashboards. Experiment, develop, and produce high-quality machine learning models that drive business growth.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Data Science, Business Analytics, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Business Analyst, or related occupation.
Skills Required: This position requires any amount of experience with the following: Creating and maintaining dynamic and interactive dashboards using Tableau and Looker leveraging ETL automation, ODBC connector; creating advanced visualizations including heat maps, drill-down charts and tools including parameters, and LOD (Level of Detail) expressions; Conducting in-depth exploratory data analysis within large enterprise databases (Terabytes- scale) using SQL via CTE and window functions; transforming raw data into actionable insights using Python libraries including Pandas and NumPy for data manipulation, scikit-learn for machine learning, matplotlib, and seaborn for data visualization; Presenting data findings, model results, and performance metrics to cross- functional teams and translating complex analyses into strategic recommendations for business growth; Designing and building robust, scalable data processing and model training pipelines by leveraging Random Forest and K-Nearest Neighbors (KNN) machine learning algorithms; Developing, optimizing, and producing predictive modeling pipelines by Tree-based Pipeline Optimization Tool (TPOT) python libraries that automate hyperparameter tuning and model selection to enhance prediction performance and model efficiency; Automating and streamlining ETL workflows in order to produce recurring reports and data updates leveraging Excel and Alteryx workflows; Leverage advanced Excel functionalities including vlookup, index match, and pivot tables; PySpark and Snowpark data science libraries in Python; and data engineering pipelines for big data.
Job Location: 3223 Hanover St, Palo Alto, CA 94304.
Full-Time. Salary: $148,699 - $170,000 per year.
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 Team
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.
Top Skills
Alteryx
Excel
K-Nearest Neighbors
Looker
Matplotlib
Numpy
Pandas
Pyspark
Python
Random Forest
Scikit-Learn
Seaborn
Snowpark
SQL
Tableau
Tree-Based Pipeline Optimization Tool
Similar Jobs at JPMorganChase
Financial Services
As a Commercial Banker, you'll focus on acquiring new clients and maintaining strong relationships within the Mid-Corporate Banking sector, emphasizing strategic financial advice and innovation.
45 Minutes Ago
Financial Services
As a Platform Solutions Client Advisor, you will drive tax management business with RIAs, promote investment solutions, and manage client relationships while demonstrating expertise in tax strategies and technology-driven products.
Top Skills:
Automated Tax-Smart ImplementationFinancial Technology
Financial Services
As a Treasury Sales Associate, you will facilitate client relationships, provide treasury solutions, and contribute to sales targets, enhancing your career path in Treasury Solutions.
Top Skills:
MS Office
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
