Audit Chief Data Office - Data Scientist - Senior Associate

JPMorganChase

Jersey City (NJ)

On-site

USD 140,000 - 180,000

Full time

4 days ago
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Job summary

JPMorganChase in Jersey City is seeking a Data Science Associate for the Audit Data Strategy Team to develop AI/ML solutions, influence risk identification and controls testing, and deliver actionable insights. You will collaborate across the Audit function to scope problems and deliver high-quality analytical models.

Role involves data science consulting, coding, and applying GenAI-based methods to strategic initiatives with a focus on impact and career growth in a high-visibility environment.

Qualifications

  • Bachelor's degree in a quantitative field with 5+ years of data analytics experience or 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 statistical software (Python, R, SAS) and SQL querying.
  • Familiarity with GenAI and prompt engineering basics; experience with modern analytics tools.

Responsibilities

  • Leverage Big Data analytics to uncover novel use cases and responsibly apply foundation models.
  • Drive data science and analytics strategies; recommend analytical products and standards.
  • Help partners define problems and scope analytical solutions.
  • Build understanding of domains and data assets; deliver analytical models.
  • Research, design, and evaluate analytical approaches including GenAI methods.
  • Perform exploratory statistics and data mining on diverse datasets.
  • Communicate findings to stakeholders to drive delivery to market.
  • Develop subject matter expertise in financial and operational domains.
  • Code solutions with strong programming skills and collaborate across teams.

Skills

Analytical skills
Communication skills
Leadership
GenAI basics
SQL
Python/R/SAS
Problem solving

Education

Bachelor's degree in quantitative field
MS degree or equivalent

Tools

SAS
SQL
Hive
Hadoop
Spark
Python
Tableau
Alteryx

Job description

Job Description

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.



Job Description

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).



About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world\'s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.


We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.


We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants\' and employees\' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.


JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans



About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we\'re setting our businesses, clients, customers and employees up for success.

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