Underwriter

• Define the multi year vision and roadmap for AI enabled underwriting, aligned with the company’s growth, risk appetite, and operational goals.
• Assess the current underwriting lifecycle (intake, analysis, decisioning, documentation, monitoring) and identify specific opportunities for automation, digitization, and AI assisted workflows.
• Translate strategic objectives (speed, loss performance, scalability, customer experience) into concrete underwriting process changes, tools, and success metrics.
• Design and implement AI and rule based decisioning frameworks that augment underwriters and agents, reduce manual effort, and create explainable, repeatable decisions.
• Architect workflows that use LLMs and other AI tools to automate document ingestion and analysis (e.g., financials, bank statements, contracts, KYB docs, site reviews), and convert them into structured inputs and draft risk assessments.
• Partner closely with data science, engineering, and product teams to specify requirements for models, rules engines, and decisioning platforms, including features, thresholds, and human in the loop review logic.
• Define and maintain the configuration of scorecards, rule sets, and policy rules within underwriting systems to reflect evolving risk appetite and business needs.
• Redesign end to end underwriting processes with automation as a first principle, minimizing manual steps, duplicate work, and unstructured decision making.
• Implement standardized templates, checklists, and decision frameworks that embed data, AI insights, and best practices into day to day underwriting workflows.
• Define and track operational KPIs (e.g., decision turnaround time, straight through processing rate, manual touch rate, rework, error rates) and drive initiatives that move these indicators meaningfully.
• Ensure all new processes and tools meet requirements for control, auditability, explainability, and regulatory/compliance expectations (particularly where AI is involved).
• Serve as the primary transformation lead for underwriting, working with Underwriting Management, Risk, Commercial, Legal, and Operations to align on new ways of working.
• Lead structured discovery sessions, pilots, and rollouts to introduce new AI tools, rules, and processes, ensuring they are usable, resilient, and well adopted.
• Act as a key translator between technical teams and business stakeholders, making complex AI/modeling concepts accessible and showing their practical implications for deals, policies, and risk posture.
• Build and maintain a backlog of transformation initiatives, with clear prioritization, business cases, and expected impact.

Senior Manager, Underwriting – AI Transformation

Engineering Manager

• Leads one or more teams, developing operational plans to align with functional strategies and objectives.
• Responsible for recruitment, mentoring, and performance evaluations of team members
• Defines project objectives, scope, and deliverables.
• Create and manage project schedules and budgets.
• Coordinate with cross-functional teams, including product managers and quality assurance.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Ensure adherence to company standards, policies, coding standards, best practices, and quality assurance processes.
• Foster a culture of collaboration and innovation within the development team.

Senior Software Development Manager

Consultant

• Provide consulting service for-fee to clients who need to address strategic business issues by identifying and enhancing product functionality, systems, technology, and operations
• Participating in project consulting team
• Identify issues and assist to provide possible solutions
• Manage scope, internal/customer resources, deliverable, and timelines
• Participate in requirements gathering sessions performing gap analysis, system review, and data analysis
• Provide billing details for timely invoices of assigned projects
• Assist on large-scale long-term projects
• Develop, coordinate internal resources and track/verify implementation efforts
• Manage indirect reports externally and internally
• Formulate team structure, develop project strategy, and resource management throughout project
• Work with internal departments to generate sales leads
• Be willing to travel to customer sites up to 25%

Consultant II

QA Automation Engineer

• Build, configure, and optimize AI agents across Glean, Copilot, and AWS Bedrock.
• Implement RAG patterns, prompt engineering, and structured output workflows where required.
• Integrate enterprise data sources (SharePoint, Dynamics, Confluence, ADO, Fabric) into AI solutions.
• Develop and maintain reusable components, APIs, and automation modules for AI-driven use cases.
• Write clean, maintainable code using modern programming languages (Python, TypeScript/JavaScript, C#, or similar).
• Design and develop microservices, APIs, and serverless functions to support AI and automation workflows.
• Build automations using enterprise tools (e.g., Power Automate, custom APIs, scripting).
• Follow engineering best practices including CI/CD, version control, unit testing, and documentation.
• Implement and maintain integrations between AI platforms and enterprise systems.

AI Engineer – Automation

• Tailor the strategy and solution to the customer.
• Create and respond to proposals.
• Develop a business and solution architecture strategy.
• Build business cases for customers.
• Guide solution design teams to create relevant technical architectures.
• Collaborate on integrated account plans.
• Drive result-oriented approaches while achieving quotas.

Principal Business Solution Consultant

Engineer

• Design, implement, and maintain highly available and scalable server infrastructure across on-premise and cloud environments (e.g., AWS, Azure).
• Install, configure, and troubleshoot operating systems (e.g., Linux, Windows Server), virtualization platforms (e.g., VMware, Hyper-V), containerization technologies (e.g., Docker, Kubernetes) and IBM AS400/iSeries.
• Monitor system performance, identify bottlenecks, and implement proactive solutions to ensure optimal system health and uptime.
• Develop and maintain automation scripts (e.g., PowerShell, Python, Bash) for system administration tasks, configuration management (e.g., Ansible, Puppet, Chef), and infrastructure as code.
• Manage and maintain enterprise backup and disaster recovery solutions, ensuring data integrity and business continuity.
• Implement and enforce security best practices, vulnerability management, and compliance standards for all managed systems.
• Collaborate with development, network, and security teams to support application deployments, troubleshoot issues, and optimize infrastructure.
• Provide technical leadership and mentorship to junior administrators, contributing to team skill development.
• Participate in on-call rotation for critical system support and incident response.
• Document system configurations, procedures, and troubleshooting guides.
• Evaluate and recommend new technologies and solutions to improve system efficiency and reliability.

Cloud Operation Engineer

• Analyze, design, implement, troubleshoot, and maintain commercial, and cloud-native security solutions across public cloud environments
• Create and maintain automated workflows and integrations to support cloud security controls and the automation platform, primarily using Python
• Identify and define security system requirements for public cloud environments
• Continuously analyze security systems and drive improvements, with a focus on automation and resilience
• Develop, document, and maintain configuration and security standards, technical documentation, and standard operating procedures (SOPs)
• Tune, filter, and customize security systems with Information Security Analysts to reduce noise and improve detection quality
• Serve as a subject matter expert for public cloud security and security automation
• Consult with team members and other groups to solve basic to moderately complex cloud-focused security challenges
• Partner with teams outside of Security (e.g., application, infrastructure, DevOps/Platform) to design secure, automated cloud architectures and guardrail
• Lead and contribute to medium to large security and automation projects
• Build project plans based on requirements analysis and stakeholder input
• Communicate project status, risks, and metrics to leadership
• Support audit, compliance, and regulatory activities, including but not limited to PCI DSS, SOX, and evolving privacy laws
• Provide evidence, explanations, and remediation input for controls related to public cloud security and associated automation
• Participate in incident response activities by reviewing and analyzing security events and incidents
• Use automation (e.g., Python-based tooling and workflows) to enhance speed and consistency of response

Cloud Security Automation Engineer

Product Manager

• Maximize product value by owning the product backlog and serving as the key link between business stakeholders and engineering teams
• Define, refine, and prioritize the product backlog to maximize customer and business value
• Write clear user stories and acceptance criteria
• Ensure all features meet business objectives, usability expectations, and performance standards
• Ensure compliance with internal policies and industry regulations
• Lead backlog refinement, sprint planning, reviews, and demos
• Participate in PI Planning, system demos, and release note reviews
• Serve as the primary liaison between product management and engineering teams
• Accept completed work based on agreed upon acceptance criteria
• Collaborate with other Product Owners to manage dependencies and shared outcomes
• Track and communicate delivery progress, risks, and key metrics
• Drive continuous improvement initiatives to enhance team velocity and quality
• Use data, experimentation, and feedback to continuously improve product outcomes
• Work with Services teams and customers, to deeply understand implementations and real-world usage patterns

Product Owner

QA Engineer

• You will report to the Corporate IT Manager
• Support delivery quality for Power Apps / Power Automate, and related integration services by designing and executing test scenarios, logging clear defects, and contributing to basic test automation
• Work closely with developers, Product Owners, and senior testers to ensure that changes released to Dev, Test, UAT, and Prod are stable, reliable, and aligned with business requirements
• Test Design & Execution
• Analyze and understand user stories, acceptance criteria, and system requirements for Dynamics 365 or Power Apps / Power Automate solutions and supporting services
• Design test conditions, test cases, and test data for:
• Functional, integration, regression, and basic usability testing
• Power Apps forms, workflows, and Power Automate flows
• Key integrations (e.g., Dynamics 365 ↔ Power Apps ↔ backend APIs)
• Execute tests in Dev / Test / UAT environments, recording actual results and deviations clearly
• Support regression test cycles for releases, ensuring previously working functionality remains stable
• Defect Management & Troubleshooting
• Log clear, reproducible defects in tools such as Azure DevOps, including steps to reproduce, expected vs. actual results, screenshots, and environment details
• Work with developers, BAs/POs, and senior QA to:
• Triage and prioritize defects
• Re-test fixes and confirm closure
• Assist in basic root cause analysis by gathering logs, data samples, or screenshots as guided by senior team members
• Automation, CI/CD & Quality Practices
• Contribute to basic test automation for UI or API tests under guidance (e.g., data-driven tests, smoke/regression suites)
• Help maintain and run automated tests as part of CI/CD pipelines for Power Platform solutions
• Follow CSG testing standards, coding guidelines for test scripts, and security/privacy practices in test data usage
• Environment, Data & Documentation
• Maintain and refresh test data in non-production environments as per agreed guidelines
• Document:
• Test plans, test cases, and test results
• Simple runbooks/checklists for recurring test activities and smoke checks
• Support release readiness checks (e.g., test signoffs, defect summaries, known issues list) for deployments to UAT and Prod
• Collaboration & Stakeholder Engagement
• Work closely with:
• QA leads / senior Test Engineers for prioritization, approach, and quality gates
• Developers and BAs/POs to clarify requirements, edge cases, and acceptance criteria
• Platform and operations teams on environment readiness, access, and basic troubleshooting
• Participate in daily stand-ups, refinement, and review/demo sessions across US/EMEA time zones as required

QA Developer

Support Engineer

• Collaborate with our cross-functional team and provide technical support to the CSG product suite for our Customers
• Take ownership of the application support
• Spot inefficiencies, resolve bottlenecks, and keep everything running like clockwork
• Maintain billing SLA as the major KPI in this role

Technical Support

Platform Engineer

• Design, build, and maintain Infrastructure as Code (IaC) and deployment pipelines for Kubernetes on AWS and Azure
• Support stability, reliability, and performance of cloud platforms
• Collaborate with development teams to enhance delivery velocity
• Provide training and support to team members
• Identify opportunities for improvement and automate repetitive tasks
• Monitor and improve observability metrics

Senior Platform Engineer

Business Analyst

• Collaborate with business owners and product manager to determine the business needs and create functional requirements for project team
• Gather all relevant information before drawing conclusions, making decisions or suggesting possible technology solutions
• Lead cross functional teams by liaising between business partners, product managers and technology teams in creation of features, stories and acceptance criteria, supporting the timely implementation of initiatives
• Analyze impacted products and processes for gaps (AS-IS and TO-BE) and identify innovative solutions that balance timelines, scope and complexity
• Coordinate with technical resources to develop workable solutions that meet customer expectations
• Drive pre-release planning process

Business Analyst I

Security Analyst

• Monitor, respond, and work to resolution alerts from security tools such as endpoint detection and response (EDR), email security, firewall, security event and information management (SIEM), IPS/IDS, Application Firewall, malware, change detection (FIM), user behavioral analytics, rogue wireless network alerts, and security system health monitoring.
• Participate in the organization's incident response plan and perform incident reporting on an as needed basis.
• Experience in incident response, to include evidence collection and preservation, timelining activities, and conducting technical interviews.
• Experience with automated workflow tools and Strong analytical and problem-solving skills; Python experience a plus.
• Collaborate with team members and assist in developing and implementing SOC IR strategies, along with refining and testing incident response playbooks and procedures.
• Coordinate with internal and external stakeholders during incidents.
• Stay updated on emerging cybersecurity threats and trends.
• Perform security engineering tasks as required to include alert tuning, system maintenance, determining and capturing key information feeds, etc.
• Participate and fulfill requests from audit, compliance, and regulatory functions, including and not limited to Payment Card Industry (PCI) Data Security Standard (DSS), Sarbanes-Oxley (SOX), emerging state and Federal privacy laws, and general security auditing.
• Must be able to work outside normal business hours when needed in order to perform diagnosis and/or implementation of product releases or changes so that normal business workflow is not interrupted.
• This position requires domestic and/or international travel of up to 5%.

Information Security Analyst II

• Apply business acumen, technical, and declarative skills to quickly assess, diagnose, and design digital monetization solutions that solve our customer’s toughest business challenges.
• Facilitate and guide customer workshops through the discovery process to understand their pain points and define business configuration to deliver client requirements.
• Document user-centered requirements relevant to achieving the customer’s goals and objectives.
• Translates business requirements to technical requirements while balancing them between what’s technically feasible and financially and functionally reasonable.
• Identify customer requests or questions that are not addressed by the SaaS solution and provide appropriate responses, guiding back to OOTB capabilities.
• Collaborates with the project solution architect to create the Blueprint Document as part of the customer’s initial onboarding process.
• Assist in the definition of user stories and acceptance criteria for each functional business requirement.

Business Consultant

Full-stack Engineer

• Providing technical leadership for large and complex architecture solutions.
• Ensuring software solutions is within scope of business needs & solution interfaces with customer’s enterprise architecture.
• Translating customer requirements into software specifications
• Developing solution designs using CSG products are within the technological, financial, and operational constraints of the project, and that meets quality standards for performance, reliability and user experience
• Perform detailed technical assessments and code reviews to ensure high-quality deliverables.
• Provide technical guidance and leadership to the delivery teams implementing your solution to ensure that it realises your architectural vision, is delivered on schedule, and adheres to quality standards
• Serve in a product owner role as needed in a self-organizing, high-performing team.
• Perform ongoing client stakeholder management and consultation to ensure that they remain aligned with your solution throughout delivery
• Contribute to the CSG delivery methodology to drive ongoing improvements on how we operate.
• Stay updated with the latest industry trends and emerging technologies to continuously improve solutions.