Analytics Solutions Associate
Data Science
Mumbai, Maharashtra, India
Data-driven Internal Audit Analytics Associate with 3+ years’ experience translating audit objectives into scalable, production-ready analytics (SQL/Python/Alteryx/Databricks/Tableau), delivering risk-focused insights through descriptive-to-predictive methods with strong governance, auditability, and stakeholder communication.
Job Summary
As an Associate within Internal Audit – Data Analytics, you will translate audit objectives into clear analytical questions and hypotheses, pull together complex data from multiple sources, and apply techniques ranging from descriptive analysis to anomaly detection and predictive methods. You will partner closely with audit leads and stakeholders to refine requirements, communicate insights with clear visuals and narratives, and embed analytics into audit scoping, testing, and continuous monitoring. You will also help accelerate the function through automation, streamlining repeatable analysis and testing where appropriate, and through emerging capabilities, leveraging platforms like Databricks and GenAI/AI/ML approaches where they add measurable value, while maintaining strong standards for data quality, governance, and auditability.
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 including 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 (descriptive, diagnostic, predictive, and anomaly detection) to support risk-based audit scoping and execution.
- Partner closely with audit leads and key stakeholders to shape and refine the analytics and data science requirements; proactively manage relationships, expectations, scope changes, and communications to drive value and efficiency based results.
- Engineer repeatable, scalable analytics and data science based solutions (datasets, reusable code modules, workflows, dashboards, and templates) that improve efficiency and enable auditor self-service where appropriate.
- Design and develop solutions for non - audit cycle based activities, including continuous auditing, continuous monitoring, automated testing, advanced testing, and event/trigger-based analytics to identify emerging risks.
- Apply strong data management and governance practices—including data lineage, data quality assessment, access controls, documentation, and definitions/metadata—to ensure analytics are reliable, auditable, and reproducible.
- Implement quality controls for analytic outputs, including validation checks, reasonableness testing, peer review, and clear documentation of assumptions, limitations, and interpretability (especially for advanced models).
- Manage multiple concurrent deliverables by planning work, prioritizing effectively, and meeting timelines and budget expectations while maintaining high standards for accuracy and usability.
- Continuously evaluate and adopt new tools/techniques to improve team effectiveness; recommend enhancements to processes, automation opportunities, and platform capabilities.
- Communicate insights clearly to varied audiences (audit teams, technology/data partners, and senior stakeholders), tailoring messaging and visuals to drive understanding and action.
- Contribute to team knowledge-sharing by providing perspectives on where analytics/data science can add value, and by supporting enablement through guidance, demos, and lightweight 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).
- 3+ years of experience in Audit, Data Analytics, Data Science, Risk/Controls, or a closely related role.
- Demonstrated experience working with large, complex datasets (multiple disparate sources, high volume), performing data wrangling, validation, enrichment and building analytics and data science based solutions..
- Proven, recent track record of building and delivering repeatable, production-ready data science and analytical solutions (e.g., automated workflows, dashboards, anomaly detection, model development)
- Strong understanding of data ecosystems (databases, data warehouses/lakes, ETL/ELT patterns, 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 with the ability to explain technical concepts to non-technical audiences; strong interpersonal skills to build partnerships and influence outcomes.
- 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, proactive; demonstrates accountability, sound judgment, and the ability to operate through ambiguity while maintaining high standards. Strong professionalism and integrity; able to work with limited supervision.
Preferred qualifications, capabilities, and skills
- SQL, Python (pandas, numpy, visualization libraries), Alteryx
- Workflow enablement/agentic tooling; Agentic Studio, Smart SDK, AI Code Assistance tools (Claude Code, GitHub Copilot)
- Data preparation, validation and cleansing
- Cloud data platforms; Databricks or Snowflake
- Visualization Analytics ( Tableau, or similar)
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.
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.
Design and deliver analytics for risk-based audits, integrating complex data and automating tests to drive smarter, faster decisions.