Moody's

Serve as a trusted advisor to insurance clients, leveraging actuarial expertise and AXIS knowledge to drive solution adoption and growth. | Minimum 5-7 years of actuarial experience in life insurance, AXIS system proficiency, and strong client-facing skills. | At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies • At least 5-7 years of actuarial experience in the life insurance industry is required to serve as a credible, trusted advisor to clients. • A minimum of 3-5 years of hands-on experience with the AXIS Actuarial System is essential to provide deep product knowledge and support. Preference will be given to individuals with knowledge in multiple AXIS modules. • Prior experience in a strategic, client-facing role (e.g., Customer Success, Consulting) is highly desired to manage and deepen relationships with key accounts. • A strong understanding of life insurance/annuity products, regulatory requirements, and ALM strategies is necessary to align our solutions with client business objectives. • Demonstrated ability to build and maintain trusted relationships with stakeholders at all levels, from technical users to business executives. • Excellent interpersonal, written, and verbal communication skills are required to present complex technical concepts clearly and effectively. • A pragmatic and strategic approach to problem-solving and the ability to work collaboratively in a team environment while also operating independently. • The ability to travel to client sites as required (approximately 10 to 25%). • Interest in exploring agentic AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use. Education • Bachelor's degree required. • Society of Actuaries FSA designation or equivalent is strongly preferred. Responsibilities • Serve as a strategic, proactive partner for key insurance clients, leveraging deep actuarial and AXIS product knowledge to become a trusted advisor. • Serve as the primary post-sales point of contact for a portfolio of AXIS clients, developing and executing tailored engagement plans to drive solution adoption. • Develop and maintain trusted partnerships with a wide range of stakeholders, from day-to-day users to key decision-makers. • Coordinate and deliver Quarterly Business Reviews (QBRs), demonstrating the value of our solutions and aligning on strategic priorities to ensure retention and growth. • Serve as the voice of the customer internally, channeling client feedback to Product Management and R&D to influence the product roadmap. • Partner closely with Sales and Product Specialists on account planning, renewal strategies, and identifying expansion opportunities (upsell/cross-sell). • Support pre-sales activities, including needs analysis, tailored product demonstrations, and onboarding guidance for prospective client trials. • Document all significant client interactions, discussions, and resolutions in our CRM system (e.g., Gainsight/Salesforce). About the team Our Insurance Business Unit team is responsible for ensuring our clients realize continued and growing value from our solutions. We achieve this by serving as strategic, proactive partners for our key insurance clients, driving solution adoption, increasing retention, and identifying opportunities for growth. By joining our team, you will be part of exciting work in shaping the customer experience, influencing product strategy, and becoming a trusted advisor to leading firms in the insurance industry. For US-based roles only: the anticipated hiring base salary range for this position is $118,300.00 - $171,700.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Design and implement scalable AI-driven backend systems using Node.js and Python, integrating LLMs and AI agents, optimizing performance, and collaborating with ML teams. | 3+ years backend Node.js experience, AI/LLM hands-on skills, cloud and containerization expertise, Python familiarity, database proficiency, and a bachelor's degree in a related field. | At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies • 3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems required • Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency • Proven ability to implement AI-powered solutions to solve business challenges • Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use • Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production • Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices • Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) • Familiarity with Python for collaborating on machine learning workflows Education • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows and AI-driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. • Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents • Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning • Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems • Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI • Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads • Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems • Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models • Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments • Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes About the team Our Innovation team is responsible for building internal and external solutions leveraging cutting-edge machine learning technology, including LLMs, AI Agents and NLP. We build and scale innovative AI-driven products that enhance productivity and deliver measurable value. Collaboration is a cornerstone of how we operate, and we foster an open and supportive culture where learning and knowledge-sharing are encouraged. By joining our team, you will be part of exciting work where every team member can make a tangible impact. For US-based roles only: the anticipated hiring base salary range for this position is $107,600.00 - $156,200.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.