Internal Audit, Asset Wealth Management - Senior Associate - Data Scientist

Next Frontier Capital; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. — Audit Analytics & Data Science Associate in our Asset & Wealth Management Audit Team — delivers comprehensive analytics and data science solutions across the audit lifecycle.

You will partner with audit leads to translate objectives into insights, engineer scalable solutions, and communicate findings to drive informed decisions and strengthen risk management. You will work with SQL, Python, Alteryx, Databricks, Tableau, Agentic Studio, and Smart SDK to enable auditor

Qualifications

• Bachelor’s degree in a related discipline or equivalent practical experience.
• Minimum 3 years of experience in Audit, Data Analytics, Data Science, Risk/Controls, or related role.
• Experience working with large, complex datasets and building analytics solutions.
• Proven ability to deliver production-ready data science workflows and dashboards.
• Understanding of data ecosystems, ETL/ELT patterns, and APIs/files.

Responsibilities

• Deliver end-to-end analytics and data science solutions across the audit lifecycle using SQL, Python, Alteryx, Databricks, Tableau, and related platforms.
• Translate objectives into analytic hypotheses and test designs for risk-based audit scoping.
• Collaborate with audit leads and stakeholders to shape analytics requirements and manage expectations.
• Engineer reusable code modules, workflows, dashboards, and templates to enable auditor self-service.
• Design solutions for continuous auditing, monitoring, testing, and event-driven analytics.
• Apply data management, governance, and quality controls to ensure reproducibility.
• Provide clear documentation and peer reviews for analytic outputs.
• Manage multiple deliverables with planning, prioritization, and budget adherence.
• Evaluate new tools/techniques to improve team efficiency and outcomes.
• Communicate findings effectively to varied audiences with tailored visuals.
• Support enablement through demos and training to spread analytical capabilities.

Skills

Audit analytics

Data wrangling

Data science

Risk/Controls

Stakeholder communication

Problem solving

Time management

Education

Bachelor's degree in Computer Science, Data Analytics, Data Science, Information Systems, or Engineering

Tools

SQL

Python

Alteryx

Databricks

Tableau

Agentic Studio

Smart SDK

Job description

Join our dynamic Audit Analytics team, where you’ll leverage advanced data science and analytics to shape the future of audit. You’ll collaborate with talented colleagues and stakeholders, using innovative tools and techniques to deliver impactful solutions that enhance risk management and business value.

As an Audit Analytics & Data Science Associate within our Asset & Wealth Management Audit Team, you will deliver comprehensive analytics and data science solutions across the audit lifecycle. You’ll partner with audit leads and stakeholders to translate objectives into actionable insights, engineer scalable solutions, and communicate findings that drive informed decision-making. Your work will help strengthen risk management and support continuous improvement in audit processes.

Job Responsibilities

• Deliver end-to-end analytics and data science solutions across the audit lifecycle, from problem framing and requirements through data acquisition, analysis/modeling, visualization, and deployment using tools such as SQL, Python, Alteryx, Databricks, Tableau, Agentic Studio, Smart SDK, and related platforms
• Translate audit objectives into clear analytic hypotheses and test designs, selecting appropriate methods to support risk-based audit scoping and execution
• Partner closely with audit leads and stakeholders to shape and refine analytics and data science requirements, proactively managing relationships, expectations, and communications
• Engineer repeatable, scalable analytics and data science solutions—including datasets, reusable code modules, workflows, dashboards, and templates to improve efficiency and enable auditor self‑service
• Design and develop solutions for non-audit cycle activities, including continuous auditing, continuous monitoring, automated testing, advanced testing, and event/trigger-based analytics
• Apply strong data management and governance practices to ensure analytics are reliable, auditable, and reproducible
• Implement quality controls for analytic outputs, including validation checks, reasonableness testing, peer review, and clear documentation
• Manage multiple concurrent deliverables by planning work, prioritizing effectively, and meeting timelines and budget expectations
• Continuously evaluate and adopt new tools and techniques to improve team effectiveness and recommend process enhancements
• Communicate insights clearly to varied audiences, tailoring messaging and visuals to drive understanding and action
• Contribute to team knowledge‑sharing by providing perspectives on analytics and data science value, and supporting enablement through guidance, demos, and training

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Computer Science, Data Analytics, Data Science, Information Systems, Engineering, or a related discipline (or equivalent practical experience)
• Minimum 3 years of experience in Audit, Data Analytics, Data Science, Risk/Controls, or a closely related role
• Demonstrated experience working with large, complex datasets, performing data wrangling, validation, enrichment, and building analytics and data science solutions
• Proven track record of building and delivering repeatable, production‑ready data science and analytical solutions such as automated workflows, dashboards, anomaly detection, or model development
• Strong understanding of data ecosystems, including databases, data warehouses/lakes, ETL/ELT patterns, and APIs/files, and how technology design influences risk, controls, and auditability
• Working knowledge of technology and data risks/controls and the ability to apply this experience when designing solutions
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non‑technical audiences and build partnerships
• Strong critical thinking and structured problem‑solving skills, able to frame ambiguous questions, test hypotheses, and identify practical solutions under time constraints
• Ability to manage and deliver multiple concurrent tasks with attention to detail, effective prioritization, and follow‑through against timelines
• Working knowledge of data management principles such as data quality, lineage, metadata, governance, privacy/access considerations, and documentation practices that support reproducibility
• Self‑motivated and proactive, demonstrating accountability, sound judgment, and the ability to operate through ambiguity while maintaining high standards

Preferred Qualifications, Capabilities, and Skills

• Experience with workflow enablement and agentic tooling, such as Agentic Studio, Smart SDK, or AI code assistance tools (Claude Code, GitHub Copilot)
• Experience with cloud data platforms such as Databricks or Snowflake
• Experience with visualization analytics tools such as Tableau or similar platforms

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Leverage data science innovation to prototype analytics that improve audit efficiency, insight, and control testing.