Join a fast-moving technology team building a business observability platform for the Payments business—an analytics foundation that enables AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. You’ll help deliver intraday transaction insights, anomaly detection, forecasting, and conversational analytics supported by a governed metrics foundation.
As a Data Scientist Senior Associate at JPMorganChase within Business Observability & AI Platform in Payments, you will own the analytical integrity of what we ship. You will validate the data behind key metrics, define what “correct” looks like for models, and ensure anomaly detection and forecasting outputs remain trustworthy in production. You will partner closely with product, engineering, and design to shape both the roadmap and how we communicate value to stakeholders.
Job responsibilities
- Perform exploratory and diagnostic data analysis across large-scale transactional datasets to validate business logic, metric definitions, and data quality
- Define and document acceptance criteria for analytical features, metrics, and model behavior; verify releases against them before sign-off
- Design and run validation and back-testing for anomaly detection and forecasting models, including accuracy, precision/recall, false-positive rates, and threshold calibration
- Build and operate model and data drift monitoring, and recommend retraining or recalibration when performance degrades
- Investigate and triage analytical defects, reconciliation breaks, and unexpected model output with upstream data and platform teams
- Create clear data visualizations and analytical narratives for executive and operational audiences, and contribute to product demos and stakeholder materials
- Partner with the Technical Product Owner on requirements, user story refinement, and prioritization grounded in evidence from the data
Required qualifications, capabilities and skills
- Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar)
- 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship/project work
- Strong SQL, including analytical functions and performance-aware querying against large tables
- Proficiency in Python and the standard analytics stack (pandas, NumPy, scikit-learn, statsmodels or equivalent)
- Working knowledge of time series analysis, forecasting methods, and anomaly detection techniques
- Practical experience with data quality testing, validation frameworks, and reconciliation
- Ability to build clear, decision-ready visualizations and communicate findings to non-technical stakeholders
- Comfortable working in an agile, high-ownership environment with shifting priorities
Preferred qualifications, capabilities and skills
- Experience with payments, transaction banking, or financial services data
- Familiarity with semantic layers, metrics stores, or dimensional modeling
- Exposure to columnar or OLAP databases (ClickHouse, Druid, BigQuery, Snowflake)
- Experience defining model evaluation and drift monitoring in production
- Familiarity with LLM-assisted analytics, evaluation of generated explanations, or prompt-based workflows
- Visualization tooling beyond notebooks (D3, Plotly, Tableau, or similar)
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About UsWe 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
Skills Required
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a similar quantitative discipline
- 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship or project work
- Strong SQL, including analytical functions and performance-aware querying against large tables
- Proficiency in Python and analytics libraries including pandas, NumPy, scikit-learn, and statsmodels or equivalent
- Working knowledge of time series analysis, forecasting methods, and anomaly detection techniques
- Practical experience with data quality testing, validation frameworks, and reconciliation
- Ability to build clear, decision-ready visualizations and communicate findings to non-technical stakeholders
- Comfort working in an agile, high-ownership environment with shifting priorities
- Experience with payments, transaction banking, or financial services data
- Familiarity with semantic layers, metrics stores, or dimensional modeling
- Exposure to columnar or OLAP databases such as ClickHouse, Druid, BigQuery, or Snowflake
- Experience defining model evaluation and drift monitoring in production
- Familiarity with LLM-assisted analytics, generated-explanation evaluation, or prompt-based workflows
- Visualization tooling beyond notebooks, such as D3, Plotly, Tableau, or similar
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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