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About Harbor.ai Harbor.ai is an InsurTech startup aiming to revolutionize the enterprise insurance market. Our technology simplifies the process for insurance brokers to identify optimal coverage for their clients continuously, and this is just the beginning. Our mission is to revolutionize underwriting for better, faster, and smarter processes. As we pursue this goal, we are implementing a data-driven business model that fundamentally reshapes how insurance products are sold. Established in 2018, Harbor.ai is venture-backed and based in New York. Position Overview We're looking for a mathematically-minded professional to serve as our Quantitative Analyst, supporting critical business functions including financial management, risk analysis, and operational excellence. This role offers the opportunity to apply strong quantitative skills across financial modeling, risk analysis, and operational support while directly impacting our company's growth and success. About the Role Key ResponsibilitiesFinancial Management & Analysis: • Maintain and analyze financial models, forecasts, and reporting systems, • Support monthly, quarterly, and annual financial close processes, • Develop and monitor key performance indicators (KPIs) and financial metrics, • Conduct comprehensive risk assessments across various business lines, • Develop and maintain actuarial models for pricing and reserving, • Perform statistical analysis on claims data and loss patterns, • Provide analytical support for strategic business decisions, • Support administrative functions as needed in startup environment, • Collaborate with internal teams on data analysis and reporting needs Required Qualifications Education & Experience: • Bachelor's degree in Mathematics, Statistics, Economics, Finance, Actuarial Science, or related quantitative field, • 2-3 years of professional experience in quantitative analysis, preferably in insurance, finance, or related industry, • Advanced proficiency in Excel and statistical software, • Strong SQL skills for data extraction and manipulation, • Experience with data visualization tools (Tableau, Power BI, or similar), • Familiarity with programming languages for automation and analysis, • Exceptional analytical and problem-solving abilities, • Strong mathematical and statistical foundation, • Detail-oriented with high accuracy in quantitative work, • Excellent written and verbal communication skills, • Ability to translate complex analysis into actionable business insights, • Comfortable working in a fast-paced, evolving startup environment Preferred Qualifications • Professional certifications (CFA, FRM, ASA, or similar), • Experience with insurtech or fintech companies, • Knowledge of predictive modeling techniques Success Metrics In your first year, success will be measured by: • Accuracy and timeliness of financial reporting and analysis, • Quality of risk assessments and model development, • Contribution to operational efficiency improvements, • Effective support of strategic initiatives and cross-functional projects, • Development of scalable analytical processes and systems Please note that any emails from recruiters will be printed, then ceremoniously disposed of. Note to All Applicants: Harbor.ai is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to . Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable; bonuses are not guaranteed. Harbor.ai is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We may use your information to maintain the safety and security of Harbor.ai, its employees, and others as required or permitted by law. Additionally, Harbor.ai participates in the E-Verify program in certain locations, as required by law. Harbor.ai is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at .

Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city center. Our skilled and creative workforce is comprised

Job DescriptionChief Actuary - Director of Actuarial ModelsJoin a Leading Insurance Organization and Shape the Future of Actuarial AnalyticsAre you ready to lead transformative change in the insurance industry? We're seeking an exceptional Chief Actuary to establish and direct a cutting-edge Actuarial Models team at a premier state insurance organization. This is your opportunity to build something from the ground up while leveraging the latest in AI and machine learning technologies. Position OverviewTitle: Chief Actuary, Director of Actuarial Models Compensation: $180,000 - $200,000 (plus location differentials where applicable) Employment Type: Full-time, Permanent Position Locations: New York City or Albany, NY Travel: Minimal (20-30% between locations) Why This Role is Exceptional • Build from Scratch: Create and lead a brand-new actuarial modeling team, • Cutting-Edge Technology: Work with AI, machine learning, and advanced predictive analytics, • Strategic Impact: Drive business decisions through innovative modeling solutions, • Growth Opportunity: Shape the future direction of actuarial practice at a major organization, • Establish a New Division: Build, staff, and lead a revolutionary actuarial modeling team from the ground up, • Drive Strategic Solutions: Develop advanced modeling solutions to solve complex business challenges using machine learning and AI, • Transform Operations: Modernize and enhance existing actuarial models with state-of-the-art statistical and AI methodologiesTechnical Excellence, • Advanced Analytics: Lead development of predictive models and AI-driven solutions, • Data Mastery: Extract powerful insights from both structured and unstructured data sources, • Process Innovation: Implement best practices and repeatable processes for consistent, high-quality delivery, • Compliance Leadership: Ensure all models meet rigorous actuarial standards and regulatory requirementsTeam Development, • Build High-Performance Teams: Recruit, develop, and inspire top actuarial talent, • Mentorship: Guide team members' professional growth and career development, • Collaboration: Foster strong partnerships across departments and with senior leadershipWhat You BringRequired Qualifications, • Professional Credentials: Associate or Fellow of Casualty Actuarial Society (ACAS, FCAS), • Educational Foundation: Bachelor's degree in actuarial science, mathematics, statistics, or related field, • Leadership Experience: 10+ years of actuarial experience, including 2+ years in management roles post-designation, • Technical Expertise: Advanced knowledge of statistical methods, model-building, and predictive analytics, • AI/ML Experience: Hands-on experience with artificial intelligence and machine learning applicationsKey Competencies, • Strategic Thinking: Ability to translate complex analytical results into actionable business insights, • Communication Excellence: Outstanding ability to present complex concepts to diverse audiences, • Innovation Mindset: Self-starter committed to implementing industry best practices, • Collaborative Leadership: Proven ability to build partnerships and lead cross-functional teamsPreferred Qualifications, • Advanced degree in mathematical, statistical, or AI-related fields, • American Academy of Actuaries membership (MAAA), • Strong organizational and team-building capabilitiesComprehensive Benefits PackageFinancial Security, • Competitive base salary with performance opportunities, • Comprehensive retirement planning options, • Public Service Loan Forgiveness (PSLF) eligibilityHealth & Wellness, • Complete medical, dental, and vision coverage, • Generous vacation, personal, and sick leave accruals, • Paid federal and state holidaysWork-Life Integration, • Telecommuting opportunities, • Flexible work arrangements, • Supportive, team-based environmentProfessional Growth, • Exceptional career advancement potential, • Open, collaborative culture that values innovation

Job Description This is a mid-level to senior position with Hazen and Sawyer. This position will be part of the Cloud Services team, which provides professional level cloud-based software systems and architecture to create digital products to support Hazen’s core business. The team works both internally and with clients to identify digital product needs and coordinates closely with the subject matter experts to develop software systems to implement those needs. This position will report to the Director of Cloud Services and will be a member of a small mixed-discipline team all working together to bring modern cloud-based applications to the Hazen digital products portal. This position will involve, but is not limited to, working with water modeling experts to improve models, AI/ML experts to expose models via web applications, executing software engineering processes to capture users stories and requirements from customers and internal Hazen teams, designing and implementing full-stack solutions giving users an intuitive user interface, a robust server-side logic tier, and cloud-solutions based on accepted Well Architected Framework guidelines. The ideal candidate will have 5 to 7 or more years of experience in software development using a variety of technologies such as C#, Blazor, JavaScript and JavaScript based technologies such as ReactJS or Svelte, HTML and CSS; and will hold a Bachelor’s and/or Master’s Degree in relevant computer science or related fields. A robust background in software deployment, adeptly managing branches, and leveraging GitHub for seamless, automated deployment processes is a must. Excellent communication skills and experience working with clients, strong subject knowledge, humility, and tact are required for success. Fundamental knowledge of cloud computing concepts and building cloud-native applications is a must The ideal candidate will possess the ability to be self-managing and self-directing and be able to complete requisite tasks independently or with a team. The candidate should be comfortable taking a leading role in the team or supporting others to have positive project outcomes. The candidate should have demonstrated knowledge of rapidly acquiring new skills and being able to work in a variety of programming languages and technologies concurrently Excellent communication, teamwork and problem-solving skills are also required. Job Responsibilities include, but are not limited to: • Update and enhance existing C# based web and desktop applications to solve complex mathematical and engineering problems., • Develop and promote AI/ML solutions to improve software development efficiency and streamline the water resources modeling and engineering processes., • Maintain, debug and provide bug fixes, features and enhancements for existing software, • Create, document and implement strategies for deploying developed software to the cloud, • Assist in migrating an existing C# and C++ application into a cloud native deployment, • Create, document and execute test plans to ensure developed software is of the highest quality, meets requirements, and handles errors and exceptions appropriately, • Participate in Hazen directed software development processes and standards, meetings and use Hazen provided source code repositories and accepted DevOps patterns, • 5 to 7 or more years of software development experience is required, • A Bachelor’s or Master’s degree in Computer Science, Engineering, or related STEM field, • Demonstratable interest in environmental science, water quality, water treatment, or water resources management, • Experience with software, • Demonstratable knowledge of cloud computing concepts and building cloud-native/cloud-hosted applications is required, • Experience with the Azure cloud is ideal Employment Type: Full-time. Hybrid work policy (3 days/week in-office)

Job Description:\n\n WHO WE ARETeaching Lab is a nonprofit organization with a mission to fundamentally shift the paradigm of teacher professional learning. We envision a world where teachers and students thrive together in communities that enable life-long learning and meaningful lives. In partnership with teachers, we transform professional learning from the ground up to dramatically improve student outcomes. We also work with school, district, and state leaders to create the instructional systems necessary to support these changes. To learn more about Teaching Lab, explore our website at VALUESTeaching Lab seeks to fundamentally shift the paradigm of teacher professional learning in pursuit of excellent educational outcomes for every child.Teaching Lab's ultimate goals are:Educators learn more than they would without usStudents learn more than they would without us, in a way that cannot be predicted by race, gender, or family incomeEducators we serve say they love our approach, and they want to keep doing it to advance educational equity All employees are expected to embrace Teaching Lab's Values to help us achieve our ultimate goals.Collaboration & Responsive ServiceResilient Solution-FindingResearch & Learning With HumilityAccountable ExcellenceEquity & Justice Read more about Teaching Lab's Values here. Type of Vacancy: Salaried (Full-Time)Start Date: October 2025Location: New York, NYReports To: Senior Manager, ProgramSupervises: NoneTravel: On-site with some remote workCompensation: $80,000 to $105,529Areas of Expertise: Instructional Design: Designing and facilitating effective and engaging professional learning experiences for adults. Teacher Coaching: Improving student outcomes by engaging in coaching inquiry cycles with teachers. Instructional Expertise: Deep knowledge of the mathematical shifts (focus, coherence, rigor), the Standards for Mathematical Practice, and Math HQIM. ABOUT THE DEPARTMENTThe Program department's primary purpose is to design, deliver, and continuously improve teacher professional learning programs that strengthen instructional practice and drive student achievement. The team's main functions include managing and implementing scopes of work with partners, providing coaching and professional learning for teachers and leaders, and creating research-based content and learning assets tailored to partner needs. The Program department contributes to Teaching Lab's mission by ensuring that every partnership drives measurable impact on teacher practice and student learning, advancing educational equity at scale.ABOUT THE ROLEThe Program Manager's primary responsibility is to implement excellent programmatic services through coaching, facilitation of professional learning, and collaboration with school and district leaders. Along with Program team members, project leads, and organizational partners, the Program Manager will also hold responsibilities in the following areas:Engaging in coaching cycles, including observations, modeling, co-teaching, data analysis, and feedbackDesigning and facilitating high-quality professional learning content and resources grounded in research-based instructional practicesMaintaining strong partner relationships, supporting contract renewals, and contributing to business development as neededSupporting Teaching Lab systems, tools, and processes for scaling partnerships, monitoring impact, and ensuring effective implementation The Program Manager role is an individual contributor-level position with no management responsibilities. This role is essential to ensuring the effective delivery of programmatic goals, high-quality coaching and professional learning, and sustained impact on teacher and student learning. Success in this position requires strong collaboration, organizational skills, adaptability, and a commitment to improving educational outcomes.ESSENTIAL QUALIFICATIONSEducation, Work Experience, and KnowledgeBachelor's degreeFive (5) or more years combined experience working in PK-12 education, with a minimum of two years experience teaching PK-12 students from traditionally underserved backgrounds with demonstrated evidence of impactTwo (2) or more years combined experience working with partners outside of their organization to manage workflow or deliver servicesTwo (2) or more years of combined experience planning and implementing projectsTwo (2) or more years combined experience leading or coaching the implementation of HQIM (in any subject area)Deep knowledge and experience with College- and Career-Ready math or ELA content and practice standardsExperience designing impactful professional learning for educatorsExperience facilitating impactful professional learning or coaching for educatorsExperience managing relationships with clients and stakeholders in an education contextExperience teaching or coaching at least one of the following curricula: Math (Amplify Desmos, Carnegie Learning, Envision Mathematics, EngageNY/EurekaMath, Illustrative Math, Into Math, iReady, Savvas, Skyline, Zearn Math) Values, Skills, and CompetenciesStrong commitment to growth mindset for both adults and students, with a desire to continuously strengthen instructional practices and team capabilitiesAbility to design and deliver high-quality, evidence-based professional learning that advances teaching and learning outcomesCompelling communication and facilitation skills that build engagement and influence across diverse educators and stakeholdersStrong organizational skills, with the ability to manage complex projects, multiple priorities, and tight timelines in a fast-paced environment PREFERRED QUALIFICATIONSAdvanced degreeDeep understanding of the specified curriculum, including its design and component partsExperience providing professional learning support and services in and for consultative organizations STRATEGIC OBJECTIVES AND KEY SUCCESS INDICATORS (KSIs) All team members are accountable for achieving goals set in collaboration with their Home Manager, which are aligned with Teaching Lab's annual goals, department goals, and Home Manager goals, as applicable. Within the role, model the radical commitments for our values.WORKING CONDITIONS AND REQUIREMENTSAll team members must be able to work a flexible schedule to support operational needs.All team members must be able to perform the essential project, duties, and responsibilities with or without accommodation.All team members are expected to support program/project needs, which could mean that you hold multiple roles on project teams (i.e., Project Lead, Project Sponsor, Coach Developer, Client Partnership Manager, Instructional Designer, Subject Matter Expert, Coach/Facilitator, Project Management Support, or Analyst).Travel could be required for the role. Travel is determined based on business needs and can vary depending on partnership/contract requirements.All roles at Teaching Lab are contingent upon the availability of project work, available funding, and organizational priorities. Ability to work effectively in a remote environment, including extended periods of sitting, frequent participation in virtual meetings and video calls, and consistent use of computer-based systems and communication tools.Teaching Lab encourages practices that support employee wellness, including regular breaks, ergonomic workspace setup, and resources to support health and balance while working remotely. ABOUT FULL-TIME ROLESAt Teaching Lab, our full-time team members are the heart of our mission to advance educational equity. Joining us in a staff role means being part of a collaborative, fast-paced environment where your contributions shape the organization's growth and impact every day. You'll work cross-functionally with colleagues who share a deep commitment to excellence, equity, and innovation, and you'll have opportunities to both lead and learn as we tackle ambitious goals together.As a full-time employee, you'll also benefit from Teaching Lab's competitive package designed to support your health, financial security, and professional growth. Our offerings include organizational contributions toward medical, dental, and vision coverage, a 401(k) with employer match, and additional support for technology and home office expenses. Employees enjoy generous paid time off, funding for their professional development or well-being, and dedicated holidays that prioritize rest and renewal.Full-time roles at Teaching Lab combine mission-driven purpose with comprehensive support, offering you the stability and resources to thrive while making a lasting impact in the field of education.TRAVELOn-site with some remote work.COMPENSATIONThe full salary range for this position is $80,000 - $121,007 annually. This range represents the full earning potential for the role, including opportunities for salary growth over time based on performance, tenure, and organizational budget. The anticipated hiring range for this position is $80,000 - $105,529. Teaching Lab will generally cap salaries for new employees at 105% of the midpoint of the full salary range ($105,529) to allow for continued growth in the role over time.There are two types of experience being considered for this role: Experience that is directly relevant to the role and Total Working Experience, in all fields. This includes: internships and consulting work. In collaboration with the hiring manager, the People and Culture team calculates experience based on the candidate's most current resume. When calculating the offer, consideration is given to candidates that possess additional qualifications (i.e., desired qualifications). Teaching Lab will generally cap salaries for new employees at 105% of the midpoint to allow for continued growth in the role over time.CLOSING/REVIEW DATEThis position opened on September 12, 2025 and will remain open until filled. All applications received between September 12, 2025 and September 22, 2025 will be reviewed by the hiring team. Applications received after September 22, 2025 will be reviewed as needed. APPLICATION TERMS AND CONDITIONSI understand that any falsification or omission of information from this Employment Application can disqualify me from employment (includes rescinding an offer of employment or if hired, employment termination).I understand that this Employment Application is not an offer of employment. If employed, employment is at will, and either party can terminate the employment relationship at any time.I understand that if I am offered a conditional offer of employment, it would be contingent upon successful pre-work checks, which include references and verifications/checks for a social security number, education, employment, criminal records search (national and county), global watch list, and sex offender status. Depending on a specific partnership/contract requirement, the criminal background check process could include fingerprinting. At Teaching Lab's discretion and with an individual's signed consent, other checks could be completed based on the nature of the position. Moreover, I understand that Teaching Lab participates in a background monitoring service that provides updates for criminal records and sex offender status.I understand that if I am offered and accept an offer of employment, I will be required to complete an Employment Eligibility Verification Form (I-9), and provide supporting documents within three days of my hire date. Non-compliance will result in termination of employment. Teaching Lab participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, Teaching Lab is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before any action is taken against you, including terminating your employment. Teaching Lab can only use E-Verify once you have accepted a job offer and completed the Form I-9. EVerify and Right to Work posters.I understand that if I am offered and accept an offer of employment, if I have a need for an accommodation related to a disabling (medical) condition that the request must be communicated to People & Culture for review and approval. All requests will be considered as part of the Americans with Disabilities Interactive Process.I understand that if I am offered and accept an offer of employment, Teaching Lab has an expectation to be the primary employer for all employees. Specifically, having another full-time employer in addition to full-time employment at Teaching Lab is not permitted, and no other employment or outside contracting relationship of any kind is permitted unless otherwise disclosed on the Outside Work Disclosure form and approved by the Chief Executive Officer (CEO). Employees who are found in violation of this expectation will be subject to disciplinary action up to and including separation from employment.I understand that if I am offered and accept an offer of employment, I must undergo a 90 day introductory period. During this time, appropriateness for the role and performance are evaluated. At the end of the 90 day introductory period, Teaching Lab and/or the employee can end the employment relationship at will.Teaching Lab has a payroll direct deposit program. I understand that if I am employed, I am not required to enroll in Teaching Lab's payroll direct deposit program, and I would be paid via a paper check.I understand that if I am employed, all work materials/resources that are provided by Teaching Lab are considered property of Teaching Lab, and are solely for the use of work for Teaching Lab.I understand that if I am employed, I will be required to sign acknowledgment of receipt and abide by all policies and procedures, requirements, and expectations as outlined in the Employee Handbook.In relation to the position that I am applying for, I voluntarily give Teaching Lab consent to make a thorough investigation of my background, and release from liability all parties in connection with the supply and use of such information.We retain personal data for one year from receipt to fulfill the purposes for which it was collected. The submission of my application serves as acknowledgment and agreement to the above terms and conditions.Please note: All applications for employment remain active for 90 days. If you have already applied for the position, please do not reapply during this time period. All selected applicants will be contacted directly by a People & Culture team member. Incomplete applications will not be considered. Your interest in joining the Teaching Lab team is appreciated!