The Options Clearing Corporation (OCC) is looking for an Associate, Artificial Intelligence Engineering to help implement our AI strategy by exploring new technologies and developing solutions for business challenges. You will work with experienced mentors to build your skills in data analytics, business analysis, and AI governance while contributing to meaningful projects.
What You'll Do
- Learn and apply emerging AI technologies to solve business problems under mentorship from senior team members
- Participate in proof-of-concept projects that demonstrate AI capabilities to business stakeholders
- Assist in building data pipelines that support AI systems while developing technical skills
- Collaborate on integrating AI solutions with existing systems as part of cross-functional teams
- Help develop testing approaches to evaluate AI performance with guidance from experienced colleagues
- Contribute to establishing responsible AI practices and controls
- Support the optimization of AI systems to improve performance through analysis and testing
- Work alongside business teams to understand their needs and translate them into technical requirements
- Develop expertise by supporting business analysts with their AI and analytics challenges
- Create documentation for technical evaluations to build communication skills
- Learn to develop metrics that measure business impact of AI implementations
- Gain hands-on experience with various AI tools and platforms
- Shadow senior team members during client meetings to understand business requirements gathering
What We're Looking For
- Bachelor's degree in a quantitative field, with Computer Science, Data Science, and Mathematics or related experience
- Enthusiasm for AI technologies demonstrated through academic projects, hackathons, etc.
- Coursework in machine learning, data science, or AI-related subjects
- Experience applying AI concepts in academic or personal projects
- Ability to connect classroom concepts to real-world business applications
- Strong collaboration skills developed through group projects or extracurricular activities
- Clear communication abilities for explaining technical concepts to different audiences
- Familiarity with agile concepts through coursework or project experience
- Analytical mindset and attention to detail demonstrated in academic work
- Willingness to learn and adapt in a rapidly evolving technology landscape
- Academic or project experience with Python programming
- Exposure to SQL through coursework or projects
- Understanding of database concepts from relevant classes
- Experience with data analysis tools or libraries (such as Pandas, NumPy, or similar)
- Classroom or project exposure to cloud platforms (AWS, Google Cloud, Azure)
- Familiarity with version control concepts (Git) from coursework or projects
- Experience with Jupyter notebooks or similar tools for data exploration
- Basic understanding of statistical methods and their application to data problems
- Exposure to machine learning frameworks (TensorFlow, PyTorch, scikit-learn) through coursework
- Willingness to quickly learn new tools and technologies with provided training
Nice to Have
- Experience with any relevant student organizations, competitions, or AI clubs is a plus
- Academic research experience or teaching assistantships in relevant subjects are valued
- Completed relevant online courses or certifications beyond degree requirements demonstrate initiative
- Open to candidates from diverse academic backgrounds who can demonstrate analytical thinking and technical aptitude
Technical Stack
- Languages & Libraries: Python, SQL, Pandas, NumPy, scikit-learn
- Frameworks & Tools: TensorFlow, PyTorch, Jupyter notebooks, Git
- Cloud Platforms: AWS, Google Cloud, Azure
Team & Environment
You will work alongside experienced mentors at the intersection of business and technology within a highly collaborative and supportive environment developed to encourage work-life balance and employee wellness.
Benefits & Compensation
- Compensation range: $70,200.00 - $102,300.00
- Hybrid work environment, up to 2 days per week of remote work
- Tuition Reimbursement
- Student Loan Repayment Assistance
- Technology Stipend
- Generous PTO and Parental leave
- 401k Employer Match
- Competitive health benefits including medical, dental and vision
Work Mode
This role operates in a hybrid model.
OCC is an Equal Opportunity Employer.
