Senior Data Scientist, Audit Analytics & Risk Strategy

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Science Associate for the Audit Data Strategy Team in New Jersey. You will develop AI/ML solutions to influence risk identification, assessment, and mitigation, and design advanced GenAI methods to support control testing and strategic initiatives.

You will work across the Audit business to scope problems, build models, and deliver actionable insights, combining consulting, data science, and programming with a focus on data-driven strategy.

Qualifications

• Bachelor’s degree in a quantitative field with 5+ years data analytics, or an advanced degree with 3+ years.
• Strong analytical, quantitative, problem‑solving and communication skills.
• Curiosity for solving business problems and ability to lead and collaborate.
• Knowledge of Python, R, SAS and data querying languages like SQL.
• GenAI familiarity and experience with modern analytics tools listed.

Responsibilities

• Translate business problems into data science solutions and models.
• Develop AI/ML solutions to identify, assess, and mitigate risk.
• Collaborate with partners to define scope and deliver analytics products.
• Research and implement GenAI-based methods and analytical approaches.
• Communicate findings and obstacles to stakeholders to drive delivery.

Skills

Analytical thinking

Leadership

Communication

Problem solving

GenAI basics

Programming skills

Education

Bachelor’s degree in quantitative field

Master's degree

Tools

Python

R

SAS

SQL

Hive

Hadoop

Spark

Tableau

Alteryx

Job description

JPMorgan Chase & Co. is seeking a Data Science Associate for the Audit Data Strategy Team in New Jersey. You will develop AI/ML solutions to influence risk identification, assessment, and mitigation, and design advanced GenAI methods to support control testing and strategic initiatives.

You will work across the Audit business to scope problems, build models, and deliver actionable insights, combining consulting, data science, and programming with a focus on data-driven strategy.