Among software quality assurance analysts and testers, AI is already used for a large share of the tasks. Measured exposure for software quality assurance analysts and testers: 52% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Python

About the job

Job Purpose

At ICE Mortgage Technology, we are building a world-class Quality Engineering organization that will help elevate our Collections and Loss Mitigation offerings while strengthening our ability to support homeowners throughout their financial journey. At the same time, we are empowering loan servicers with more effective tools, automation, and insights to identify, prioritize, and focus on homeowners who require the greatest level of support. By enhancing quality across our platform, we can help ensure that engagement and assistance efforts are directed where they are needed most, improving outcomes for homeowners, servicers, and investors alike.

ICE has established a strong Collections and Loss Mitigation offering within the industry. We are now focused on advancing these capabilities through continued innovation, operational excellence, and an unwavering commitment to quality, while further integrating them across the broader loan lifecycle and default servicing process. Our vision is to provide a seamless, end-to-end experience that enables servicers to engage homeowners proactively, make informed decisions, and deliver assistance more effectively. Building a best-in-class Quality Engineering organization is a foundational step in achieving that vision, and these positions will play a critical role in shaping the next generation of our platform and customer experience.

Responsibilities

Implement automated test frameworks and take ownership of existing frameworks for LLM based applications.

Implement automated tests that use AI for reasoning on the correctness of LLM generated information.

Improve testing methodologies for LLM based applications.

Participate and designing and improving prompts used in LLM based applications.

Knowledge and Experience

Bachelor’s degree in STEM fields.

3+ years in QA and QA automation.

Experience using Agentic AI tools to build test automation tools.

Proficiency in Python.

Ability to learn quickly and adapt to new technologies and processes, with a focus on keeping up to date with the latest developments in LLM related technologies.

Ability to independently learn new complex business domains.

Strong problem-solving skills and attention to detail.

Excellent communication and teamwork skills.

Ability to communicate fluently and professionally in complex technical and business contexts.

Preferred Knowledge and Experience

Knowledge of fixed income markets and financial instruments.

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.