Senior Associate, Internal Audit Data Analytics

What You'll Do:

The role will support and perform audits of varied technologies and processes, with a special focus on AI systems and related infrastructure. This position will leverage data analytics and AI techniques to enhance the audit function's capabilities in support of the strategic goals of the audit function. The Senior Associate is responsible for proactively identifying key audit risks, providing analytical fieldwork to engagement teams, developing AI-assisted audit methodologies, and supporting management in achieving their goals.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

Responsibilities will be aligned, but not limited, to three pillars:
Delivery

• Support the Internal Audit Department on feasibility analysis and delivery of assigned audits using advanced data analytics and AI-assisted techniques
• Evaluate data quality issues and identify potential exceptions or inefficient practices, proposing achievable solutions;
• Support the Internal Audit Department, both audit engagement and internal data analytics teams, on feasibility analysis and the delivery of assigned audits using data analytics;
• Support the Internal Audit Department, both audit engagement and internal data analytics teams, providing a professional auditee experience;
• Owning the quality, accuracy of results, and delivery of analytics in a timely manner;
• Assess the design and operating effectiveness of controls around AI systems, machine learning models, and related infrastructure;
• Apply risk-based analytics to identify potential audit areas and/or samples.

Quality

• Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating engagement teams accordingly on the proper use of data analytics and how to best leverage it in audits;
• Maintain understanding of policies, procedures, standards, and supporting technologies related to AI governance and responsible AI practices;
• Ability to understand professional principles and standards related to audit and analytics (e.g., IIA IPPF, ISO 20546) and the relevancy to OCC's data environment and operations;
• Create and refine AI prompts to enhance audit procedures and testing methodologies;
• Keeping current on best practices and emerging analytics activities within the financial services industry and making recommendations for improvements as necessary.

Leadership

• Supporting effective relationships and partnerships with the internal audit team, business groups, and management;
• Educate audit teams on AI concepts, risks, and appropriate audit approaches.

Supervisory Responsibilities:

• None

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the primary functions.

• Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions;
• Strong problem solving and analytical capabilities;
• Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports;
• Proficiency in writing effective AI prompts to extract meaningful insights from data;
• Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.

Experience

• Experience working in a complex, fast-paced environment;
• Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA);
• [Preferred] Consulting and/or accounting firm experience;
• [Preferred] Experience in Financial Services/Security Industry and working within a regulated environment.

Technical Skills:

• [Required] Microsoft Office applications;
• [Required] Familiarity with one or more scripting tools such as: Python, SQL, R;
• [Required] Familiarity with analytical tools such as: Tableau, Alteryx, Pandas;
• [Required] Familiarity with testing, documentation and versioning tools (e.g., pyTest, Github, pyDoc or similar);
• [Required] Understanding of AI/ML concepts, including prompt engineering, model evaluation, and responsible AI principles;
• [Preferred] Understanding of AI infrastructure requirements and security considerations;
• [Preferred] Experience with Retrieval Augmented Generation (RAG) and large language model implementations;
• [Preferred] Familiarity with databases such as: Oracle, DB2, MS SQL;
• [Preferred] Familiarity with cloud-based solutions: AWS, Azure, Oracle Cloud, Workday;
• [Preferred] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software.

Education and/or Experience:

• [Required] Bachelor's degree (or equivalent) in Finance, Accounting, Analytics, Statistics, Mathematics, Information Technology, Data Management, or related field;
• [Preferred] 3+ years of experience (audit-related, or a combination of audit and analytics);
• [Preferred] Experience with AI implementations including prompt engineering and Retrieval Augmented Generation (RAG);
• [Preferred] Experience with AWS environments including: AWS security services (IAM, KMS, Security Hub, GuardDuty); VPC design, security groups, NACLs, and network traffic patterns; Terraform; general knowledge of ECS, EKS, and container security;
• [Preferred] Masters degree in Data Science, Statistics or similar field;
• [Preferred] Experience in auditing statistical models (e.g., as part of a Model Risk Management function);
• [Preferred] Experience developing and implementing AI governance frameworks;
• [Preferred] Experience auditing AI systems, including model risk management;
• [Preferred] Experience developing data analytics or AI projects, including preparing relevant documentation;
• [Preferred] Experience developing data analytics or related projects, technology workflows (e.g., scripting, data transformation, automation, etc.) including preparing relevant documentation.

Certificates or Licenses:

• [Preferred] Certified Internal Auditor (CIA), Certified Public Accountant (CPA), Certified Information Systems Auditor (CISA), AWS Certified Security - Specialty or equivalent.

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

• A hybrid work environment, up to 2 days per week of remote work
• Tuition Reimbursement to support your continued education
• Student Loan Repayment Assistance
• Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
• Generous PTO and Parental leave
• 401k Employer Match
• Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

• The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
• In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
• We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
• All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range

Incentive Range

This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.

Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application andattach your resume.

Step 2
You will receive an email notification to confirm that we've received your application.

Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.

For more information about OCC, please click here.

OCC is an Equal Opportunity Employer