Audit Data Scientist - GenAI & Risk Insights

Next Frontier Capital; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Data Science Associate for the Audit Data Strategy Team to influence risk identification and mitigation through advanced AI/ML solutions. You will design and implement GenAI-based methods and analytics, collaborating with partners to deliver high-impact insights and durable solutions.

The role combines consulting, data science, and programming with emphasis on analytics strategy and problem solving across financial domains.

Qualifications

• Bachelor's degree in a quantitative field and 5+ years of data analytics experience, or an advanced degree and 3+ years of experience.
• Exceptional analytical, quantitative, problem-solving, and communication skills.
• GenAI familiarity and prompt engineering basics.
• Experience with modern analytics tools (SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).

Responsibilities

• Leverage Big Data analytics to uncover novel use cases and responsibly apply foundation models and Generative AI.
• Drive data science and analytics strategies, including analytical product recommendations.
• Define problems with partners and scope analytical solutions.
• Build understanding of problem domains and data assets.
• Design, implement, evaluate analytical approaches and GenAI-based methods.
• Perform exploratory statistics and data mining on diverse datasets.
• Communicate findings to stakeholders and drive market delivery.
• Develop subject matter expertise in financial and operational domains.
• Code solutions with strong programming skills.
• Collaborate across teams to deliver optimal client solutions.

Job description

JPMorgan Chase & Co. in Jersey City, NJ, seeks a Data Science Associate for the Audit Data Strategy Team to influence risk identification and mitigation through advanced AI/ML solutions. You will design and implement GenAI-based methods and analytics, collaborating with partners to deliver high-impact insights and durable solutions.

The role combines consulting, data science, and programming with emphasis on analytics strategy and problem solving across financial domains.