Audit Chief Data Office - Data Scientist - Senior Associate

Join our Audit Data Strategy Team as a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects.
As a Data Science Associate in the Audit Data Strategy Team you will develop AI/ML solutions to influence how risk is identified, assessed, and mitigated across the firm. You’ll also design and implement advanced AI/ML solutions to enhance control testing and support strategic initiatives and deliver actionable insights. Collaborate with partners across the Audit business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities
Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
Drive data science and analytics strategies, including recommendations on analytical products and standards.
Help partners define business problems and scope analytical solutions.
Build an understanding of problem domains and available data assets.
Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
Perform exploratory statistics and data mining tasks on diverse datasets.
Communicate findings and obstacles to stakeholders to drive delivery to market.
Develop subject matter expertise in financial and operational domains.
Code solutions with strong programming skills.
Collaborate across teams to deliver the best solutions for clients.
Required Qualifications, Capabilities, and Skills:
Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
Exceptional analytical, quantitative, problem-solving, and communication skills.
Intellectual curiosity for solving business problems.
Leadership and collaboration skills.
Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
Ability to convey complex information to technical and non-technical audiences.
Preferred Qualifications, Capabilities, and Skills:
Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
Understanding of key drivers of Risk & Control Frameworks
M.S. degree or equivalent.
**To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).**