Quant Analytics Analyst

Build skills at the leading edge of applied AI while working on real products that matter. You’ll collaborate with experienced engineers and partners, learn modern development practices, and contribute to AI-enabled applications from design through delivery. This role offers hands-on exposure to model integration, evaluation, and secure data access patterns. If you’re early in your career and eager to grow, we’d like to meet you.
Job summary
As an AI Developer in TBD (team name), you will contribute to the development of applications that use modern AI models and connect to enterprise data in a secure, well-governed way. You’ll work closely with senior developers and cross-functional partners to deliver team-based projects, learn best practices, and build a strong foundation in applied AI engineering.
Job responsibilities
Assist with designing, building, testing, and improving AI-enabled applications
Support integration of AI models (including large language models) into software solutions
Write, review, and debug code under the guidance of senior developers
Help build data pipelines and connectors that enable secure access to enterprise data sources
Participate in prompt design, model evaluation, and iterative improvement activities
Document technical solutions, workflows, and code to support maintainability and knowledge sharing
Collaborate with engineers, data scientists, and product partners to deliver project outcomes
Follow data governance, security, privacy, and responsible AI requirements
Stay current with emerging AI tools, frameworks, and engineering best practices
Required qualifications, capabilities and skills
Bachelor’s degree (or equivalent practical experience) in computer science, software engineering, data science, artificial intelligence, or a related field
Foundational programming skills in Python
Basic understanding of machine learning concepts, including large language models and foundation models
Familiarity with APIs, data structures, and core software development fundamentals
Demonstrated problem-solving skills and an eagerness to learn new tools and concepts
Ability to work collaboratively and follow technical direction from senior developers
Strong written and verbal communication skills
Preferred qualifications, capabilities and skills
Experience with AI/ML frameworks and libraries (for example: PyTorch, TensorFlow, Hugging Face, or LangChain)
Exposure to cloud platforms (for example: AWS or Azure)
Familiarity with Git and continuous integration/continuous delivery (CI/CD) practices
Exposure to data pipelines, SQL, and relational databases
Awareness of responsible AI, data privacy, and security considerations in regulated environments
Internship, academic, or portfolio project experience involving AI or software development
Experience supporting more than one Line of Business.