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Audit Chief Data Office - Data Scientist - Senior Associate
senior · Data Science & Analytics
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).**