Audit Chief Data Office - Data Scientist - Senior Associate
On-siteJersey City, New Jersey, United States
Job Summary
Leverage analytical skills to uncover novel Big Data analytics use cases and responsibly apply foundation models and Generative AI. Drive data science strategies by helping partners define business problems, scope solutions, and deliver high-quality analytical models for risk identification, assessment, and mitigation. Research, design, and evaluate GenAI-based methods while performing exploratory statistics and data mining on diverse datasets. Code solutions using Python, SQL, and other modern analytics tools, then communicate findings and obstacles to stakeholders to drive delivery. Develop subject matter expertise in financial and operational domains to enhance control testing and support strategic initiatives.
Required Qualifications
- 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
- Must be authorized to work in the United States
- We do not offer any type of employment-based immigration sponsorship for this role
- 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)
Desired Qualifications
- 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
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