As a Business Analyst II within JPMorganChase, you will play a crucial role in enhancing operational efficiency and driving strategic initiatives across rewards misuse prevention, customer feedback analysis, and operational reporting. By leveraging your advanced understanding of data analytics and automation, you will sit between data, models, and business users, analyzing complex data sets to uncover patterns and turning analytics and machine learning output into practical, trustworthy products for Operations, Risk, Audit, and senior leaders. Your expertise in cross-functional collaboration will enable you to work effectively with diverse teams, ensuring alignment with organizational goals. You will be responsible for planning and directing work, making decisions that impact departmental outcomes, and managing complex situations where the right analytical approach is not obvious. Your strategic thinking and strong customer service skills will be essential in delivering results that enhance the customer journey and drive business success.
Job responsibilities
- Analyze and interpret complex data sets from various sources, utilizing advanced data analytics skills to uncover patterns and provide insightful reporting in support of operational and strategic initiatives, across rewards, redemption, exception, and partner performance data, and build, validate, and interpret detection models on large card datasets using unsupervised methods for pattern discovery and supervised methods as labeled outcomes accumulate.
- Develop and implement automation strategies, leveraging systems architecture knowledge to optimize processes and drive departmental efficiency, including the text classification pipelines behind complaint and feedback analysis, their ground truth sets and per-category accuracy, and monitoring of deployed models and rules for drift, recalibration, and retraining.
- Coordinate cross-functional collaboration, working effectively with diverse teams across the organization to align efforts, share knowledge, and drive the successful implementation of business strategies, defining which metrics, scores, and explanations reach each user group, shaping the dashboards and summaries that carry them, and presenting results to technical and senior non-technical audiences.
- Utilize strategic thinking to evaluate potential scenarios, assess risks, and make informed decisions that directly impact departmental outcomes, translating model output with business partners into decision rules, thresholds, and scoring bands, and recommending the right approach per problem across rules, statistics, and machine learning, weighing accuracy, explainability, and governance.
- Provide coaching to team members, empowering them to take ownership of their work while ensuring objectives are met efficiently and effectively, designing how operational decisions and case outcomes are captured as labeled data so each model version improves on the last, and documenting objectives, data sources, methodology, assumptions, and limitations to a standard that withstands independent validation and audit review.
- Demonstrated proficiency in developing and implementing automation strategies, with a strong understanding of systems architecture, including Python for modeling (pandas, NumPy, scikit-learn) and advanced SQL with window functions and query optimization on a cloud platform such as Snowflake, Databricks, BigQuery, Redshift or similar.
- 3+ years of experience in data science, advanced analytics, or a related quantitative role.
- Proven ability to coordinate cross-functional collaboration, with experience in working with diverse teams across an organization, translating technical findings into concise business narratives for senior audiences, and building user-focused reporting in Tableau, Power BI, or Looker.
- Advanced strategic thinking skills, with a track record of evaluating potential scenarios, assessing risks, and making informed decisions, including hands-on machine learning across classification, anomaly detection, and clustering, and the judgment to know when rules or simpler statistics beat machine learning, and what each implies for governance.
- Experience in providing coaching and technical guidance to team members, with a focus on empowering individuals and ensuring efficient achievement of objectives, supported by sound evaluation practice across model explainability, class imbalance, data leakage, and validation design, and familiarity with version control and code review (Git, Bitbucket, or similar).
- Provide quality service to customers through continuous communication, with strong written communication including methodology and process documentation.
- Understand software delivery lifecycle and have skills in industry-standard methodologies and related tasks, including hands-on ETL and data preparation workflow experience in an established platform, and handling of personally identifiable or regulated data under defined access controls.
- Capability to leverage artificial intelligence and AI tools to enhance data analysis, uncover business trends, and provide actionable insights for strategic decision-making, including large language model APIs, structured output, and evaluating output quality against a defined framework.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field.
- Proficiency in implementing automation solutions to streamline business processes and improve operational efficiency, including agentic or tool-calling systems with multi-step workflows, function calling, and their guardrail and evaluation design.
- Expertise in applying customer service and conflict management skills to understand client needs, resolve stakeholder issues, and facilitate effective collaboration, with domain experience in fraud, abuse, financial crime, or rewards program integrity, and exposure to model risk management frameworks.
- Ability to craft clear and effective prompt writing to guide data analysis and ensure consistent outcomes, including prompt design for classification and extraction tasks.
- Ability to contribute to a collaborative work environment by sharing knowledge and supporting team initiatives, including experience designing or analyzing experiments and using data to influence product or process change.
- Competence in technology/process release management, with proficiency in using software applications, digital platforms, and other technological tools to solve problems and improve processes, including MLOps practice (experiment tracking and model registry such as MLflow, model versioning and deployment, drift monitoring and retraining), Databricks, Spark or PySpark, orchestration such as Airflow, and volumes requiring partitioning, Parquet, or Amazon S3.
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 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.
Skills Required
- 3+ years of experience in data science, advanced analytics, or a related quantitative role
- Proficiency with Python, including pandas, NumPy, and scikit-learn, for modeling
- Advanced SQL skills, including window functions and query optimization
- Experience with a cloud data platform such as Snowflake, Databricks, BigQuery, Redshift, or similar
- Experience developing and implementing automation strategies and understanding systems architecture
- Experience with classification, anomaly detection, and clustering
- Experience translating technical findings into concise business narratives for senior audiences
- Experience building user-focused reporting in Tableau, Power BI, or Looker
- Experience evaluating model explainability, class imbalance, data leakage, and validation design
- Experience with version control and code review using Git, Bitbucket, or similar
- Strong written communication and methodology or process documentation skills
- Experience with software delivery lifecycle methodologies, ETL, data preparation workflows, and regulated data access controls
- Experience leveraging artificial intelligence tools, large language model APIs, structured output, and output quality evaluation
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field
- Experience with agentic or tool-calling systems, multi-step workflows, function calling, guardrails, and evaluation design
- Experience in fraud, abuse, financial crime, rewards program integrity, or model risk management
- Prompt writing experience for classification and extraction tasks
- Experience designing or analyzing experiments and influencing product or process changes with data
- Experience with MLOps, experiment tracking, model registries, model versioning, deployment, drift monitoring, and retraining
- Experience with Databricks, Spark or PySpark, Airflow, partitioning, Parquet, or Amazon S3
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
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