Audit Chief Data Office - Data Scientist - Senior Associate

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking a Data Science Associate for the Audit Data Strategy Team to translate data into actionable risk insights and strategic initiatives.

You will build AI/ML solutions to identify, assess and mitigate risk across the firm, and design advanced models for control testing and analytics. The role blends consulting, data science and programming, with opportunities to impact high-visibility audits and collaborate with partners across the Audit function to

Qualifications

• Bachelor’s degree in a quantitative field or advanced degree with 3+ years of experience
• “Exceptional analytical, quantitative, problem-solving, and communication skills”
• “Knowledge of statistical software and data querying languages”
• “Familiarity with GenAI and prompt engineering basics”
• “Experience with modern analytics tools like SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx”],
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Responsibilities

• Leverage data analytics to uncover novel use cases of Big Data analytics and GenAI applications.
• Drive data science and analytics strategies and set standards for analytical products.
• Help partners define business problems and scope analytical solutions.
• Build understanding of problem domains and data assets.
• Research, design, implement and evaluate analytical approaches and models including GenAI methods.
• Perform exploratory statistics and data mining on diverse datasets.
• Communicate findings to stakeholders to drive delivery to market.
• Develop domain expertise in financial and operational areas.
• Code solutions with strong programming skills.

Skills

Python

R

SQL

GenAI basics

Leadership

Communication

Analytical thinking

SAS

Tableau

Alteryx

Education

Bachelor’s degree in a quantitative field

Master’s degree or equivalent

Tools

Python

SQL

SAS

Hive

Hadoop

Spark

Tableau

Alteryx

Job description

Join our Audit Data Strategy Teamas 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 Teamyou 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).