Audit Chief Data Office - Data Scientist - Senior Associate

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 equiva...