FINEOS

Summary As a Senior System Analyst, you are involved in eliciting requirements for product development and designing solutions that enhance and expand our products, in line with customer, market and business needs. You will provide support to FINEOS teams on all product related matters, producing high quality, on-budget, fit for purpose FINEOS solution designs. This role requires that you work with a commercial and customer focus and continually improve product and market knowledge to enable us to meet customer and market requirements. Responsibilities (Other duties may be assigned.) Understand and analyze customer and market requirements and business value, challenging and questioning features and identifying matches to existing FINEOS core product functionality or product gaps .Engage early with our business sponsors to understand the business value for product enhancements., contributing to the understanding and definition of high-level requirements through research, analysis, spikes or exploration activities .Produce high quality, on-budget, fit for purpose FINEOS solution designs to meet customer and market business needs using artefacts for proposed solutions including screen mock-ups, scenarios, use cases, user stories, etc. with associated estimates for delivery of work .Work in a scrum team (with Product Owner, Lead Engineers, Software Engineers and Software Testers), in an Agile (SAFe) manner, to provide software design capability required to deliver high quality, on-budget, fit for purpose solution designs which meet customer and market business needs .Work with your Scrum team to identify technical requirements as the basis for construction, including data modelling, functional changes and underlying updates to FINEOS product .Ensure that business, market and architectural needs are understood by your team and that the team can deliver business value and meet its delivery goals .Ensure early identification of project risk with appropriate communication, management and escalation of issues in a timely manner, with a strong focus on risk minimization and issue resolution .Support and mentor other analysts, overseeing feature development and influencing product and solution direction .Support FINEOS teams in a Subject Matter Expert (SME) capacity on issues that require FINEOS Product suite expertise . Education and/or Experienc e Minimum 6 years of experience in the software industry, with at least 4 years of experience in an Analysis and\or client facing rol e.The ability to translate complex business requirements to deliverable budget focused technical solutions that meet customer and market business needs is critical to this rol e.Experience with both green field projects and enhancing existing solution design s.Experience in modelling complex data in a structured and flexible manner using OO Analysis and Design (OOAD) & notation (UML ).Experience in Requirements Management, from upfront Requirements gathering and facilitation, to clarification and traceability of requirements throughout the SDL C.Degree in a business or IT related discipline is desirabl e. Knowledge, Skills and Abilit iesExcellent communication skills with the ability to drive solutions and influence decision maki ng.The ability to manage risks and issues is critical to this ro le.Scope Management is critical to this ro le.Knowledge & understanding of the financial services industry a distinct advanta ge.Knowledge and understanding of agile development methodologies an advanta ge.Financial services experience or qualification is desirab l e. Technical Ski llsData modelling, prototyping and process tracking tools, e.g. Visual Paradigm, Balsamiq, MS Visio, Jira, e tc.Experience in software development a distinct advantage (preferably in web applications and Jav a).Knowledge of SQL and experience of database platforms such as SQL Server, DB2, Oracle, etc. an advanta ge.Knowledge and experience of Cloud computing, AWS, an advanta ge.Degree in an IT related discipline is desirab l e. Language Ski llsProficiency in the English language, both verbal and writt en. Travel Requirem entsThis position may require adhoc occasional tra vel.

Summary The Security Engineer will collaborate with teams to design fine-grained technical controls around access to sensitive datasets and ensure their compliance with the regulatory requirements while providing strong technical support, enabling technical decisions to be made with confidence and at pace. This role generally works a standard business week, but occasional weekend work / out of hours may be required. Responsibilities (Other duties may be assigned.) • Carry out Host-Based Vulnerability Assessments • Drive the remediation of identified vulnerabilities across multiple departments. • Responsible for monitoring and responding to alerts • Support incident response in case of a security breach • Support and continuously enhance our existing security services for Cloud • Collaborate across multiple teams to remove blockers to drive forward implementation • Work with internal and external support teams Education and/or Experience • College degree or equivalent work experience • 7-10 years in Information Technology, with a comprehensive Security Operational background • Experience with security frameworks (NIST, MITRE, CIS, ISO & SOC2) • Hands-on experience with the configuration of cloud technologies Knowledge, Skills and Abilities • Extensive knowledge of cloud operations and automation • Extensive knowledge of key security practices in access control, application security, network security, and security strategy • Knowledge of regulatory data requirements in the cloud, aligned with HIPAA, GDPR or other compliance standards • Basic understanding of containerization technology • Have a strong knowledge of privileged access management, vulnerability management, and threat intelligence • Build multilayer working relationships with both technical and business stakeholders, gaining their respect and trust based on your knowledge and professionalism • Strong root cause analysis, problem-solving, and analytical skills • Excellent communication and analytical skills for incident and problem management as well as stakeholder management • Ability to effectively document operational process and procedures • Adaptable to a fast-paced work environment and an ability to prioritize projects Technical Skills • Basic understanding of DevOps tools (GitHub, Jenkins, Nexus, Ansible, etc.) • Basic understanding of SecOps tools (Rapid 7, Cloud Conformity, SUMO Logic, etc.) • Excellent understanding of Amazon Web Services (AWS) the AWS shared responsibility model, KMS, CloudTrail, CloudWatch, CloudFormation ,Lambda and GuardDuty • Extensive knowledge of SIEM and SOAR tooling • Proficient in Linux, Node.js, YAML and JSON Language Skills • Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Employee works primarily in a home office environment. • The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Work Requirements • Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. • Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. • Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Summary As a Lead Engineer you will join our highly skilled Product team. Your role will be responsible for solution design, translating business requirements and terms into product design and technical concepts. You will also engage in active development to deliver those solutions. You will be working closely with Product Owner, Analyst and Architect and your role will be crucial for the team to fully own, design, plan and deliver end-to-end feature implementation. Responsibilities (Other duties may be assigned. )Involved in early planning and design to line up features that are in a state of readiness to be broken into User Stories that provide business value .Produce solution design with relevant technical specification documents to support a strong implementation. This may include wireframes, UML, data models and diagrams .Identify matches to existing product functionality and identify application gaps .Work closely with developers and QA engineers to deliver best design and implementation of features within the tea mSupport ongoing development of features and provide guidance on design and priority decisions .Provide and enhance product documentation to support future support, extension and usage . Education and/or Experienc e Minimum 5 years Java development experien ceExperience in developing, debugging and troubleshooting enterprise web applicatio nsExperience in modelling complex data in a structured and flexible manner using OO Analysis and Design (OOAD) & notation (UML ).Experience of working in an Agile environment and working knowledge of Agile methodologies e.g. SCRUM, SAF e . Knowledge, Skills and Abiliti esAble to independently analyze requirements and come up with a sound and sustainable solution desi gnAbility to translate business requirements to technical specification is essential to this rol e.Excellent communication skills, with ability to explain complicated processes and concepts to non-expert s.Knowledge & understanding of the insurance industry would be a distinct advantag e. Technical Ski llsJava, REST, SOAP, JSP, ORMApplication servers - experience with one or more of JBoss, Tom catDatabases: Ora cleDevelopment Tools: Gradle, Jenkins, Junit, G it Language Ski llsAbility to speak the English language proficiently, both verbally and in writi ng. Travel Requirem entsThis position may require adhoc occasional tra vel.

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Summary As a Senior Software Engineer for FINEOS data and digital products you will be designing and implementing innovative products in AI, ML and data platform. You will collaborate with other Engineers and Architects in FINEOS to deliver data engineering capabilities to integrate AI, ML data products in core AdminSuite platform. Python, microservices and data engineering principles in a native AWS stack are the primary technical skills required to be successful in this position. Responsibilities (Other duties may be assigned.) Product engineering delivery – Translate high level design to smaller components for end-to-end solution delivery. Ability to code and review code of peers to enforce good coding practices, sound data structure choices and efficient methods. Product deployment – Well versed with AWS Devops automation to drive CICD pipelines, unit test, automated integration test, version management and promotion strategy across different environments. Product maintenance – Manage current portfolio of AI, ML data products to ensure timely update of underlying AWS components to ensure products are on current stack and marketable. Education and/or Experience Senior Python engineer with over seven years of experience in successfully developing and deploying, Python cloud-based applications and services. Demonstrated proficiency in delivering scalable applications, optimizing application performance, and ensuring robust security measures. Knowledge, Skills and Abilities Building microservices and event-based applications in serverless architecture. Storing and managing large volumes of data in objects, databases. Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing and Deployment. Monitoring and logging tools for application performance and error tracking. Knowledge of best practices for securing AWS resources and data. Proficient in agile development practices. Experience working in large, complex Enterprise solutions with cross geography, cross time zone teams. Proficient in MS Office applications, such as Word, Excel, PowerPoint, etc. Familiar with operating systems, such as Windows, Success Factors, etc. Technical Skills Experience in frameworks and Python libraries such as Flask, Django, Pandas and NumPy. Working with NoSQL databases for high-speed, flexible data storage. Containerization for consistent deployment. Experience in operationalizing ML models in production or building GenAI applications using Textract, Sagemaker, Bedrock Language Skill s Ability to speak the English language proficiently, both verbally and in writing to collaborate with global teams. Travel Requirements This position does not require travel. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Work Requirements Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.