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Head of Fixed & Income Annuity Pricing Full-Time Boston, MA, Springfield, MA or New York, NY The Opportunity As the Head of Fixed and Income Annuity Pricing you will manage a $15B annuity business for a top 5 carrier in the retail annuity market. You will work in a collaborative environment partnering with a diverse group of stakeholders representing both the sales and risk management sides of the business. This is a highly visible and strategic role with pricing responsibility for our fixed and income annuities. The Team The annuity pricing team is a motivated group focused on maintaining our position as a market leader in the annuity space. In this role you will interact mainly with the Annuity product team, distribution (Career Agency and third party), and corporate oversight teams to help us balance competitiveness and profitability. The Impact: • Lead a team of 4 with responsibility for the pricing of new and existing fixed and income products, • Oversee rate setting and rate implementation process for spot priced products balancing competitive positioning and profitability in accordance with our desired position in the market, • Partner with Investment Management and the ALM team to ensure business is appropriately hedged, • Go beyond technical analysis to orchestrate innovative and creative solutions that reflect current market trends while meeting our business objectives, • Take ownership in setting pricing assumptions and performing pricing analysis, • Lead pricing review and approval process with both Corporate Actuarial and Product, • Influence and provide key contributions to ongoing business strategy and growth The Minimum Qualifications • Bachelor’s degree in actuarial science, math, statistics, or related discipline, • Fellow of the Society of Actuaries, • Experience with actuarial software such as Prophet, AXIS, or Alpha, • 8 to 10+ years experience in actuarial roles, • 3+ years of experience with pricing OR fixed & income products, • Deep understanding of the retail annuity marketplace and competitive landscape, • Experience leading, developing, and coaching a diverse team, • Ability to manage multiple concurrent deadlines and discern the appropriate level of precision for urgent tasks, • Ability to influence others and drive engagement, • Strong written and verbal communication including presenting results to senior management in Distribution, Product, and Corporate Oversight, • Ability to partner effectively with distribution leadership The Ideal Qualifications • ALM or annuity pricing, valuation, and/or modeling experience is preferred, • Experience in Prophet, • 3+ years of experience with pricing AND fixed & income products, • Demonstrated success dealing with both complexity and ambiguity, with ability to explore multiple solutions to a problem, • Ability to analyze and comprehend complex information, as well as convey complex materials to non-technical audiences, • Demonstrated approach to execute strategic initiatives, business projects and day-to-day activities simultaneously. #LI-LC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Project Manager, Finance Technology Team Full-Time, Springfield or Boston (Hybrid) The Opportunity You'll be an integral part of our esteemed Corporate Technology Team, focused on Finance Technology. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corporate Technology leadership team as well as our CFO stakeholder. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Minimum Qualifications • Bachelor’s degree in Finance, Accounting, Information Systems, or Actuarial Science., • 8+ years managing and driving the execution of complex projects, • 6+ years of Agile product delivery experience, • 6+ years if experience with driving the execution of technology, • PM Certification (PMP and/or Agile Scrum Master), • Authorized to work in the United States without requiring sponsorship now or in the future The Ideal Qualifications • 10+ years managing and driving the execution of complex projects, • Expert with project management tools and techniques, such as JIRA, Confluence, Scrum and Kanban, • Excellent interpersonal communication, conflict management, coordination, and planning skills with cross-functional teams, • Skilled in applying judgment to balance process compliance with achievement of business objectives, • Experience in/working in partnership with technical roles, such as an engineers, developers, data scientists, etc., • Project leadership experience focused on engaging others in the delivery and execution of technical solutions and service deliverables, • Ability to assess a project's scope and the team's ability to execute, • Outcome oriented with the ability to drill down from the big picture to process details, • Ability to communicate objectives, plans, status, and results clearly, • Strong leadership skills and influencer, • Ability to collaborate across diverse teams and organizations, • Strong organizational skills and detail oriented, • Solid grasp of software technologies and stacks, • Proven track record of analytical and problem-solving skills., • A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting, and budgeting, • Strong data analysis skills for extracting insights from financial data, • Proficiency in data visualization tools and reporting software is also important., • Experience integrating financial systems with actuarial, policy administration, and claims platforms., • Ability to influence and motivate teams without direct authority., • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. #LI-SC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Model Validator Model Validations Team, Insurance, Product & Model Risk Full Time Springfield, MA, Boston, MA or New York, NY The Opportunity As a member of the Enterprise Risk Management (ERM) organization at MassMutual, you will partner with various business areas to conduct independent model validations for a wide variety of models, integral to critical business decision making, product pricing, financial reporting, risk mitigation activities and business processes. The Team The Model Validations team is comprised of seasoned professionals with expertise in actuarial, financial, risk, investment and capital markets models, who are also building knowledge in emerging areas of importance, such as data science, machine learning and artificial intelligence. The team conducts independent validations on a wide variety of models to ensure the company’s models are conceptually sound and performing as expected. The Impact You will utilize your actuarial, investment, and capital risk modeling expertise to conduct best-practice model validation activities, helping protect the company’s reputation and financial stability through robust management of risks associated with the use of these models. If you are someone that has a passion for complexity, continuous improvement, learning and curiosity about different points of view, this may be the right role for you. Specific expectations from this role: * Build relationships, influence, collaborate and learn various aspects of our business from many modelers, data-scientists, actuaries and business leaders at MassMutual. * As a risk advisor, participate in the design, development and implementation of new models * Conduct model validations in accordance with corporate model governance policy requirements and timelines, leveraging deep modeling, asset pricing, actuarial and regulatory expertise. * Assess model design, theoretical construction, methodology, applicability, and resilience within evolving economic and risk environments, in accordance with corporate, actuarial and/or regulatory standards. * Validate accuracy of model calculations, algorithms, and any embedded automation / programming code base. * Design and implement tests to ensure model performance and model output are as expected. * Prepare and distribute model validation documentation, which meets model governance requirements. * Test remediation of validation findings. * Continuously research and provide guidance on the use of new and innovative analytical techniques. The Minimum Qualifications * Bachelor’s degree in Actuarial Science, Finance, Econometrics, Statistics, Mathematics, Physics, or another quantitative discipline * 5+ years of direct experience in one of the following: * Capital markets and/ or investment risk * Quantitative asset pricing models * Liability hedging strategies * Statistical methods of analysis * 3+ Microsoft Excel, Access, and VBA * 3+ experience with Python The Ideal Qualifications * Possess one or more of the following designations * Associate of Society of Actuaries (ASA) * Fellow of Society of Actuaries (FSA) * Charter Financial Analyst (CFA) * Certificate in Quantitative Finance (CQF) * Financial Risk Manager (FRM) * 7+ years of direct experience in one of the following: * Capital markets and investment risk * Quantitative asset pricing models * Insurance liability hedging strategies * Statistical methods of analysis * ALM and annuity product pricing experience * Knowledge of commercial software, including Prophet, GGY AXIS and Moody's asset models * Strong statistical, risk, analytical, modeling, and problem-solving skills * Ability to see the big picture with meticulous attention to detail * Strong communication and collaboration skills, both written and verbal * Demonstrated accountability and ownership of self-development * Ability to build and maintain strong working relationships within and across teams, while challenging in a constructive manner * Strong execution and time management skills What to Expect as Part of MassMutual and the Team * Regular meetings with the Model Validations Team * Focused one-on-one meetings with your manager * Access to mentorship opportunities * Networking opportunities including the Actuarial Gathering, access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

The Opportunity This is an exciting opportunity for a highly motivated and collaborative risk professional with strong quantitative and development expertise to join the Credit Risk Management team within the Capital and Investment Risk Management team and the broader Enterprise Risk Management division. As a quantitative risk developer within the Capital & Investment Risk Management team, you will be responsible for leading quantitative model implementation, development, and analysis. The ideal candidate will join a quant team to enhance Enterprise Risk Management (ERM)’s analytical and reporting capabilities, by expanding the use of existing models as well as designing and developing new tools and risk frameworks. You will work with capital, credit, market and portfolio risk teams, and ERM more broadly. This is an excellent opportunity to collaborate with risk, investment and finance, and enterprise technology (including data science) teams. The Team The Capital & Investment Risk team brings together a diverse team of experts across capital markets, risk management, actuarial, and quantitative disciplines that works together to deliver analysis and recommendations related to the management of credit, market, liquidity and capital risk, consistent with the enterprise risk appetite framework for which the team is also responsible. The team continues to be successful in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. The Impact * In this role, you will play a critical part in ensuring company’s credit risks are effectively identified, measured and mitigated, by bringing your deep analytical expertise and strong understanding of credit risk/ investment risk modeling, data and infrastructure. * Your work will help shape robust, data-driven decision-making across risk and investment areas and influence MassMutual’s evolving business strategy and operating environment. * You will partner with your peers in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. * There is a strong emphasis on innovation, with growing opportunity to apply AI-driven techniques and scalable data solutions to drive more forward-looking, efficient risk analytics that embrace emerging technologies. * The key to success in this role is a sharp analytical mindset, the ability to translate complex risk metrics into actionable insights, and a strong partnership approach with stakeholders across risk, investment management, finance, and technology. Notable responsibilities include: * Implement, develop and enhance ERM’s analytical capabilities related to credit/market risk across a wide range of fixed income asset classes * Building on MassMutual’s current approach, assist in developing and syndicating a comprehensive framework for measuring portfolio credit & market risk, that considers different accounting and capital regimes, including asset and liability impacts, with a particular emphasis on economic capital * Automate and expand the use of Moody’s credit risk tools in place today and build risk- reward framework * Use of Python/ SQL. Also, use of spreadsheets and VBA to prototype and analyze data including data investigation/cleanup * Strengthen ERM’s use and development of tools and analytics to support derivatives counterparty risk, portfolio concentration risk & stress testing capabilities * Mentor junior quantitative analysts * Scope and implement modeling, including building out requirements where not yet fully defined or understood. * The right candidate will be agile, accountable and resilient in driving initiatives and the results The Minimum Qualifications * Bachelors degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline * Minimum 8 years of relevant work experience with 5 years in investment (credit/market) quantitative risk analytics OR 5 years of relevant work experience in investment (credit/ market) quantitative risk analytics combined with graduate studies * 5+ years of experience with expertise in Python, SQL and development skills in object-oriented programing * 5+ years of experience with strong quantitative model development & implementation skills and ability to validate/understand and explain analytical results * 5+ years of experience in quantitative risk modeling across a wide range of asset classes * 3+ years of experience with ability to engage with operational work in production environment with IT developers/solution architects in maintaining infrastructure * 5+ years of experience with quantitative and programming skills in a hands-on setting to deliver new functionality The Ideal Qualifications * 7+ years of relevant work experience in investment (credit/market) quantitative risk analytics is desirable * Advanced degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline is preferred * Knowledge and experience working with derivatives and hedging risk management * Experience in using Moody’s Analytics credit risk tools is desirable. * Experience in CECL compliant portfolio credit models * Experience applying machine learning techniques in the financial industry is desirable * Software development using GitHub and Docker, adhering to enterprise standards and best practices ensuring models are validated and governed * Previous experience working on liability-driven investing projects within an insurance company is desirable What to Expect as Part of MassMutual and the Team * Regular meetings with the Quantitative teams within ERM, Investment management & ETX project teams * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/ Latinx, African American, women, LGBTQ, Veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a string and stable ethical business with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Actuarial analysts are expected to develop proficiencies in completing standard analyses, while also taking part in more advanced analyses as needed. You will be familiar with Howden Re’s tools and approach, contribute to their development and present solutions and services to our clients. Responsibilities: • Work across analytics, brokers, and other functions to identify and respond to client needs and develop additional opportunities related to products and services, • Data collection and manipulation in spreadsheets and other database applications, • Prepare client-ready presentations to communicate analysis results to brokers and clients, • Understand reinsurance contracts and products (terminology, terms and conditions), • Manage workflow proactively and take initiative on internal projects to improve processes, products or services, • Take ownership and responsibility for quality, accuracy and timely completion of analyses, • Willingness to be part of Howden Re’s “Team First” culture and to offer help to others without prompting Qualifications: • A bachelor's degree from a four-year college or university with a 3.0 or higher graduating GPA; advanced degree is a huge plus, • 0-2 years of experience in the (re)insurance industry, • Actuarial exam(s) are a plus, • Prior Actuarial Internship is a plus, • A strong aptitude for analysis, database management and programming skills; those with a minor in computer science or have completed at least 2 programming classes are strongly preferred, • Good Microsoft Office skills (Excel, Word and PowerPoint), • Initiative and an eagerness to drive projects to a successful conclusion, • Willing and able to act as a team player, • Legally authorized to work in the United States

Job Description – Market and Model Risk Analyst UBA America, New York, United States (On-site) TITLE: Credit Risk Analyst DEPARTMENT: Risk Management LOCATION: New York-USA - Onsite FLSA STATUS: EXEMPT Position Overview We have an exciting opportunity for a Market and Model Risk Analyst reports to the Deputy Chief Risk Officer and is responsible for the measurement, monitoring, control, and reporting of the Bank’s market risk and model risk exposures. The incumbent of this position shall be responsible for adhering to the provisions stated in the Employee Accountability Policy Statement. This is an exceptional opportunity for a seasoned finance professional to make a meaningful impact in international banking while advancing their career within our global network. About UBA Group & UBA America United Bank for Africa (UBA) is a leading pan-African financial services group with over 75 years of banking excellence, operating across 20 African countries and key global financial centers including the United States, United Kingdom, France, and UAE. With over 45 million customers served through 1,000+ branches and extensive digital channels, UBA is "Africa's Global Bank." UBA America is a member of the US Federal Reserve System and regulated by the Office of the Comptroller of Currency (OCC), we have been the trusted gateway between Africa and North America for nearly four decades. Our Strategy is to facilitate trade, capital, and development flows between Africa and the rest of the world, positioning us as the preferred financial services partner for corporations, financial institutions, and development organizations doing business in and with Africa. Key Responsibilities • Responsible for making informed decisions and performing actions that align with the Bank’s risk appetite and tolerance levels, as outlined in the Risk Appetite & Tolerance Framework. This includes proactively addressing and mitigating potential violations or breaches to the Bank’s risk appetite while achieving expected job performance outcomes under Management’s guidance., • Complies with all UBA AMERICA legal and regulatory requirements, adheres to the Bank’s Code of Conduct, attends regular periodic training on core Bank policies, and reports any known or suspected violations of the Code of Conduct to UBA AMERICA management., • Market Risk Management:, • Monitors, analyzes, and reports market risk, including ad-hoc analysis in relation to market risk using modeling techniques and quantitative analysis to determine value at risk (VaR) measurements., • Performs daily monitoring of risk, concentration, stress, gap and VaR exposures against limits and risk appetite, remaining constantly aware of current market dynamics., • Liaises with trading desks with respect to exposures, new business, and market activity, performing in-depth analysis of books and trading strategies, and implementing appropriate stress-testing analyses., • Ensures risk completeness and accuracy by developing risks not captured in VaR and stress mitigants, as required, while ensuring that the limit framework and appetite is commensurate with infrastructure., • Builds, maintains, and improves market risk reporting infrastructure and tools, including the automation and streamlining of existing processes., • Model Risk Management:, • Collaborates with the Model validation team to ensure proper governance and validation of risk models used to measure market risk, including VaR, stress testing, and scenario analysis models., • Supports the development and implementation of model risk management policies and procedures, ensuring compliance with regulatory requirements and industry best practices., • Monitors the performance of risk models by conducting regular reviews, such as back-testing, sensitivity analysis, and benchmark comparisons, and reports any concerns or observations to the MRM team., • Identifies potential model limitations, assumptions, and uncertainties, escalating findings to the appropriate validation teams for further investigation., • Works closely with quantitative research, IT, and other departments to enhance model development, testing frameworks, and the integration of models into business processes., • Assists in the preparation of regulatory and audit documentation related to the usage and governance of models, in collaboration with the MRM team., • Prepares weekly business-level risk review reports and supports the preparation of committee materials and other reports related to the Bank’s market and model risk exposures., • Works closely with other departments to ensure trades are accurately captured and processed through the risk systems., • Implements and performs data quality controls of the market and model data captured by the Risk systems., • Evaluates proposed business actions to determine business and model risks, monitoring loss levels arising from credit, operational, market, and model risk factors., • Presents recommendations to reduce and control risk exposure and improve current processes and procedures relating to market and model risk., • Bachelor’s degree (or equivalent) with a concentration in finance, economics, statistics, mathematics, physics, actuarial science, or a quantitative finance-related field; advanced degree preferred., • Minimum of 4 years’ experience performing financial analysis, business reporting, and monitoring business risk, including market and/or model risk management., • Strong experience in markets-related roles with an emphasis on market risk management and familiarity with model risk management frameworks., • Familiarity with current regulatory initiatives such as Fundamental Review of the Trading Book (FRTB), Volcker Rule, stress testing, and model risk governance., • Proven experience in model validation, quantitative modeling, and performance monitoring of risk models., • Experience building and maintaining complex financial and quantitative applications., • A strong understanding of market and model risk controls, governance frameworks, and regulatory compliance., • Strong oral and written communication skills, • 5+ years ’related credit experience including working knowledge of lending and underwriting practices, • Experience and ability to perform ongoing, independent financial analysis of borrowers to confirm willingness and capacity to repay in accordance with regulatory expectations for commercial lending., • Familiarity with current regulatory initiatives such as Fundamental Review of the Trading Book (FRTB), Volcker Rule, stress testing, and model risk governance., • Proven experience in model validation, quantitative modeling, and performance monitoring of risk models., • Experience building and maintaining complex financial and quantitative applications., • A strong understanding of market and model risk controls, governance frameworks, and regulatory compliance., • Strong oral and written communication skills., • Competency in Microsoft Word, Excel, Access, Visual Basic, and relevant quantitative modeling tools (e.g., Python, R, MATLAB)., • Strong analytical and problem-solving skills., • Experience:, • Knowledge of regulations such as the Bank Secrecy Act (including the USA PATRIOT Act), OFAC sanctions programs, etc., • General:, • Detail-oriented individual with ability to conduct in-depth research and possess strong communication skills., • Strong analytical skills., • Must be able to demonstrate strong writing capabilities., • Ability to work in a team environment, as well as independently., • Must be well-organized and capable of performing multiple tasks simultaneously., • Ability to prioritize and use sound judgment., • Excellent ability to work independently as well as part of a team., • Education & Qualifications:, • Bachelor’s degree required., • ACAMS certification is required., • PC skills:, • Familiarity with TMS; preferably, Prime Compliance Suite., • Strong working knowledge of Microsoft Word, Excel, Power Point; Lexis-Nexis, World-Check, Banker’s Almanac, etc. What We Offer • Competitive salary commensurate with experience, • Comprehensive benefits package, • International exposure - Work within a global banking network spanning 24 countries, • Values-driven culture built on our core principles: Enterprise, Excellence, and Execution, • Enterprise minset: take initiative, solve problems, break barriers, and drive innovation, • Excellence standard: surpass expectations, maintain meticulous attention to detail, and uphold the highest professional integrity, • Execution focus- get things done efficiently, effectively, and with the end goal always in mind, • Collaborative, inclusive environment that values diversity and promotes professional growth, • Direct impact on facilitating economic growth and development between Africa and North America

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Job DescriptionWho are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for a Senior Actuarial Analyst to join our Global Actuarial Team in our Boston or New York offices. We are looking for an individual who has both an ability to excel and an excellence of character. Our culture is innovative and fast-paced, and this position will be the perfect fit for an individual who is intellectually curious, self-motivated and a collaborative team member. As part of the North American Casualty Team, this teammate will be responsible for large account pricing as well as in depth analyses for use in both our experience and exposure rating models. This teammate will have frequent communication with the entire Casualty underwriting team as well as actuaries around the globe and be a significant asset to the overall Team. Duties & Responsibilities: • Develop, implement, and maintain quantitative diagnostic tools to be used by underwriters in pricing individual risks and managing a portfolio of business., • Collaborate effectively with the actuarial data and analytics team to enhance processes and maintain a high standard of data integrity., • Provide insights into the company’s business using the combination of tools needed to best complete each task (e.g. SQL queries, Excel)., • Provide technical support, as needed, to underwriters in Excel and SQL., • Utilize external data sets to provide improved pricing methodologies for underwriter guidance. Qualifications, Skills and Experience: • Bachelor’s degree or equivalent training in computer science, actuarial science, mathematics, economics, statistics or related field, • Actively pursuing the FCAS designation, • Successful completion of at least four actuarial exams is required, • 3+ years of relevant work experience, • Intermediate to advanced Excel skills, • Intermediate to advanced VBA skills are strongly preferred, • Proficiency in SQL or R is preferred, • Exceptional verbal and written communication skills, • Strong interpersonal skills and the ability to work in a team environment as well as independently., • Strong desire to learn from and share knowledge with teammates, • Effective time management, with the ability to juggle multiple projects at the same time BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates, • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders, • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework The base salary range for this position in New York is $95,000 to $130,000, along with annual bonus eligibility; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization

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 Job Summary The Director, Investment Portfolio Analytics will lead F&G's investment data strategy and modernization efforts, focusing on data warehouse optimization, strategic data architecture, and analytics generation to support investment decisions and actuarial planning. This role combines data expertise with business acumen to transform how investment data is collected, stored, and utilized across the organization. The position involves managing investment data, supporting ad-hoc data requests, designing comprehensive data strategies, and supporting the data needed to generate cash flows for investments held. Organization The Director, Investment Portfolio Analytics reports to the VP, Investment Portfolio Analytics and will oversee a team of analysts. There will be significant interaction with investment strategy, investment risk, investment accounting, actuarial, middle office, treasury, and technology teams, as well as key members of external asset managers serving the company. Duties and Responsibilities Data Strategy & Modernization • Lead investment data warehouse modernization initiatives to improve data accessibility, quality, and processing efficiency, • Design and implement comprehensive investment data strategy aligned with business objectives and regulatory requirements, • Evaluate and recommend data architecture improvements to support scalable analytics and reporting, • Oversee the creation and maintenance of the internal reporting database to support comprehensive investment analytics and decision-making, • Manage and fulfill ad-hoc data requests from internal stakeholders, ensuring accuracy and timely delivery, • Support cash flow generation processes including review of data and execution of controls that are intended to validate the reasonableness of the cash flows generated, • Provide guidance, feedback, coaching, and performance reviews to direct reports, • Foster a data-driven culture, • Bachelor's degree in mathematics, economics, finance, data science, or related field, • Minimum of 8 years of experience in portfolio analytics, investment data management, data warehouse operations, or related field, • CFA, FRM, CIPM, and/or CAIA designation preferred, • Prior leadership experience preferred, • Experience with data warehouse modernization projects and data strategy development, • Background in investment data analysis and cash flow modeling, • Actuarial experience a plus, • Active engagement with AI tools and technologies to enhance data analysis capabilities and drive innovation in investment analytics, • Strong capabilities in Microsoft Excel (VBA) and SQL, • Working knowledge of Python, Tableau, and Alteryx preferred, • Experience with data warehouse technologies and ETL processes, • Familiarity with Bloomberg, BlackRock Aladdin, and/or Clearwater preferred, • Understanding of data architecture principles and best practices, • Demonstrated understanding of fixed income analytics and investment data requirements, • Strong project management skills with experience leading data modernization initiatives, • Excellent problem-solving skills with advanced analytical and reasoning abilities, • Ability to translate business requirements into data solutions, • Experience managing and developing data-focused teams, • Strong communication skills with ability to present complex data concepts to various stakeholders, • Self-starter who demonstrates strong initiative and displays high energy level, • Perform other functions, duties and projects as assigned, • Regular and punctual attendance, • Minimal travel required (less than 10%) #IND-HP #LI-MK1 #LI-Remote Additional Information Work Environments F&G believes in an employee-centric flexible environment, which is why we offer the ability for in-office, hybrid and remote work arrangements. During the hiring process, you'll work with your leader to decide what works best for your role. F&G complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities, unless such accommodation would cause an undue hardship for F&G. If reasonable accommodation is needed to participate in the job application or interview process, please contact . Join our employee-centric hybrid work environment: F&G Careers About F&G Since 1959, Fidelity & Guaranty Life Insurance Company (F&G) has offered annuity and life insurance products to those who are seeking security in retirement and protection during life's unexpected events. As a national Top Workplace1, an Iowa Top Workplace2 and a proud equal opportunity employer, F&G team members are empowered, collaborative, dynamic and authentic. We believe that by embracing these values, we will continue to build and strengthen the company while continuing to be a great place to work. 1Top Workplaces USA 2022 – 2023 2Des Moines Register Top Workplaces 2018 – 2022 Notice for all Applicants who are California residents under the California Privacy Rights Act. Please click here to review the policy.

Job Description About CyberCube: * The market leader in digital analytics 📊 with the mission of delivering the world’s leading cyber risk analytics 🌐 on one of the most critical risks of today and the future. * Exceptionally well-funded startup 💰 that has raised over $100MM from top-tier investors. * Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate. * CyberCube and its products consistently earn industry recognition 🏆, including awards like Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025. * Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers. * At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar. * Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️ * Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview! 🎥 We’re looking to hire a software engineer in the Data Strategy and Collection team at CyberCube. This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings. The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry. The Impact You Will Make: * Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives * Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management. * Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals * Deliver on key objectives and quarterly development goals across 3+ products The Skills and Experience You Will Bring: * 5+ years of experience in building large-scale data collection systems * Deep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP * Highly proficient in SQL and Python, strong fundamentals in data structures, algorithms, and base Python paradigms, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learnin,g such as Pandas, NumPy, Scikit-learn etc. * Experience with AWS technologies for computation, orchestration, and storage * Experience with designing, deploying, and maintaining microservice applications * Excellent oral and written communication skills * Experience working in and leading project teams * Ability to work in an agile, fast-paced startup environment * Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely * Ability to think creatively and implement a plan to address bugs and urgent product issues promptly * Aptitude for time-sensitive analysis and troubleshooting tasks Primary Responsibilities: * Manage a team of data specialists * Maintain, monitor, and apply design updates to existing data collection systems * Develop and continually update technical documentation * Perform code reviews and suggest opportunities for improvements * Deliver high-quality data analysis and present findings to cross-functional teams * Collaborate effectively with an organization that prides strong interdisciplinary teamwork among members * Execute with speed and rigor within an efficient and multi-faceted startup environment AI Fluency: AI plays a critical role in how we scale data operations and drive product innovation across the company. This role contributes to a broader company-wide focus on expanding AI usage to improve efficiency, quality, and insight generation. You’ll be expected to apply AI tools to streamline processes and explore new ways to unlock value through automation and analysis. We look for candidates who show curiosity and strategic thinking in how they apply AI in their work, and we assess this as a key capability during hiring. Why You'll Love it Here: * Play an instrumental role in reshaping one of the oldest industries in the world * Competitive salary and unlimited PTO * Meaningful early-stage equity * Generous healthcare benefits with medical, dental and vision coverage * Monthly catered lunches and happy hours * Company-paid learning and development assistance * Flexible working hours and ability to work remotely * Opportunity to participate in a secondment program * Dependant care assistance plan * Company-supported mentorship program * Grow in a collaborative, respectful, and empathetic culture #LI-Remote #LI-Hybrid Compensation Range: $160K - $176K

Job Description Akur8 is a young, dynamic, fast growing Insurtech scale-up that is transforming insurance pricing and reserving with transparent machine learning. Our SaaS platform leverages the power of transparent machine learning and predictive analytics to inject game-changing speed, performance and reliability into insurers’ pricing and reserving processes. Powered by skilled R&D, Product & Actuarial teams we’ve developed unique AI algorithms that automate the insurance pricing and reserving in an unprecedented manner. This results in a pricing solution that enables insurance companies to model risks 10 times faster with greater predictive power than traditional methods, whilst including next-generation reserving features, offering an end-to-end platform that anticipates and accounts for future claims. Akur8 has already been selected: * In CB Insights Top 50 World Insurtech Companies 2024 * In Insurtech Global’s Top 100 AIFinTech list 2024 * In Fintech Global’s Top 100 AIFinTech list 2024 * In CNBC’s World Top 150 Insurtech Companies 2024 With 42 nationalities on our team and offices in 8 major global cities, Akur8’s solution is international by design, serving over 320 clients across 4 continents, and focusing on mature markets to drive faster growth. To learn more about Akur8, and what we do, click here. Akur8 is, in all senses of the term, an equal opportunities employer. Akur8 puts diversity, equality and inclusion at the heart of its values. We examine all applications based on equal skills and applying the principles of non-discrimination. Becoming an Actuarial Data Scientist is the ideal opportunity to influence the usage of cutting edge advanced machine learning technology in the insurance industry and to have a visible effect on the product roadmap of one of the world’s foremost insurtech companies. This position interacts with every team at Akur8 to various degrees: Sales, Product, R&D, Marketing, Engineering, and Leadership. You will be a subject matter expert and will act as a translator between all of these departments and the “language” of insurance, actuaries, and our clients. Externally, you will work with client contacts such as Heads of Pricing, Heads of Product, CTOs, Actuaries, and Data Scientists. To be successful, an Actuarial Data Scientist at Akur8 must be: A Teacher... ...As an ADS, you will lead proof of concepts with potential clients. During this process, you will need to clearly communicate modeling concepts to both highly technical and non-technical audiences. Sometimes, you will be covering highly advanced modeling topics with experienced actuaries, and other times you will be starting from foundational modeling approaches with new modelers. Creative... ...Akur8’s software is extremely powerful for traditional actuarial tasks, but an ADS is expected to think beyond traditional models and identify creative approaches to use various Akur8 features to answer ad hoc actuarial questions. A Problem Solver... ...During check-in meetings with clients, you will assist clients by quickly diagnosing any misalignments between a modeler’s potential use of the software and the underlying assumptions behind Akur8. A Visionary... ...Akur8’s software is in a constant state of development, and feedback from the ADS team is essential to inform Akur8’s roadmap. An ADS is expected to identify potential features or offerings that are beneficial to both the software and the industry, and work with our product team to best define the underlying problem and evaluate potential solutions. Additionally, you’ll also contribute to white papers and present at conferences or webinars to establish the leadership of Akur8 in the United States and other markets. Traveling is required for this role for approximately 1 event per month. This includes team-building trips to our Paris office or North American offices, industry conferences, and possibly onsite client meetings. IMPORTANT: Preference will be given to applicants who can work from our New York office, but remote work is acceptable if you prove to be a very strong candidate based in the Eastern or Central timezones. The successful candidate must meet each of the following criteria in order to be considered for this position: * A minimum of 7+ years experience in a P&C / General / Health insurance pricing role as a Pricing Actuary, Actuarial Consultant or Data Scientist * FCAS credentials * A strong understanding of Data Science and Machine Learning techniques for predictive modeling ; (note, please note that, due to the nature of this role, no coding is involved, even if a knowledge of Python / R / SAS is a strength) * Experience in actuarial data-driven predictive modeling (GLMs / GAMs) & risk analysis in a P&C / General insurance pricing role ; * Ability to understand insurance business imperatives and establish solutions in accordance with them ; * Strong communication skills in order to elaborate on complex technical concepts to both technical / non-technical audiences ; * Readiness to travel when required (approximately 5 working days per month) ; * Native-level of English IMPORTANT: You must possess an employment status that enables you to work in a free and unrestricted manner in the United States of America. We are equally open to candidates currently working in the United States who require a change in visa sponsor. As a newcomer, you'll be joining a diverse, highly skilled and motivated team, with a strong Tech DNA, colleagues that are eager to share their knowledge and passion. But it’s not all work, you’ll also be part of a dynamic team that enjoys spending time together and having fun. In addition to this, we will provide you with: * Competitive salary + annual bonus * Health insurance , Dental and Vision coverage * Retirement Savings Plans * 25 days of PTO/year * Commuter benefit * Gym membership via ClassPass * IT equipment allowance * Professional development & trainings * Team fun: regular company gatherings and team events * Fun goodies Compensation Range: $200K - $250K

Job Description The Pricing Actuary ("PA") plays a crucial role in supporting IFG Companies' underwriting including in maintaining rate adequacy and in improving pricing tools that will benefit the underwriting portfolio of the assigned underwriting units. The ideal candidate will be technically strong, collaborative and skilled at driving pricing improvements from concept through implementation. Most importantly, the PA will deliver actionable insights that support profitable and sustained growth. POSITION RESPONSIBILITIES INCLUDING • Conducting regular rate indication studies to ensure profitability and support business unit financial goals., • Developing and maintaining appropriate rating plans across underwriting portfolios., • Collaborating with Underwriting and IT to implement rating logic and pricing structure into the policy administration system., • Designing and implementing innovative analyses and tools to address the pricing needs of underwriters, enabling data-driven decision-making., • Collaborating effectively with other members of the Actuarial team in pricing, modeling and reserving to deliver strategic pricing insights to underwriters and senior leadership., • Monitoring renewal rate changes within underwriting units to balance pricing and renewal retention targets., • Supporting reinsurance treaty renewal efforts by querying, reviewing, analyzing and validating submission data., • Assisting with pricing and premium aspects of the annual planning and budgeting processes., • Providing data and analysis needed for rate filings and various data calls., • Performing various data analyses utilizing a combination of tools, including Excel, SQL and Python, while streamlining workflows, enhancing data capture and optimizing existing processes., • Creating and maintaining documentation that adheres to the high standards of practice and qualifications of the actuarial profession by following the precepts of the Casualty Actuarial Society's code of professional conduct., • Strong technical skills and tool-building capabilities (Python coding expertise is preferred)., • Excellent interpersonal skills, together with solid written and oral communication skills., • Strong teamwork and collaboration skills., • The ability to prioritize and manage multiple tasks while resolving conflicts constructively., • Required: Bachelor's degree in Actuarial Science, Data Science, Statistics or a related field of study., • Required: At least 7 years of experience in the Property & Casualty industry., • Required: Associate of the Casualty Actuarial Society (ACAS) or Fellow of the Casualty Actuarial Society (FCAS) certification., • Physical demands are considered to be that of a climate-controlled office environment, with minimal physical exertion., • Position is hybrid and requires the ability and willingness to work in an IFG office at least three (3) days per week., • Position requires prolonged sitting, extensive utilization of computers and interactions with others in meetings or via phone., • IFG Companies offers competitive compensation and benefits, including medical, dental, vision, 401(k), flexible spending, short-term and long-term disability insurance, life insurance, long-term care, paid parental leave, vacation, and other paid time off. #LI-MD1

Job Description About CyberCube: * The market leader in digital analytics 📊 with the mission of delivering the world’s leading cyber risk analytics 🌐 on one of the most critical risks of today and the future. * Exceptionally well-funded startup 💰 that has raised over $100MM from top-tier investors. * Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate. * CyberCube and its products consistently earn industry recognition 🏆, including awards like Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025. * Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers. * At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar. * Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️ * Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview! 🎥 We’re looking to hire a Lead Software Engineer in the Data Strategy and Collection team at CyberCube. This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings. The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry. The Impact You Will Make: * Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives * Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management. * Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals * Deliver on key objectives and quarterly development goals across 3+ products The Skills and Experience You Will Bring: * 5+ years of experience in building large-scale data collection systems * Deep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP * Highly proficient in SQL and Python, strong fundamentals in data structures, algorithms, and base Python paradigms, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learning such as Pandas, NumPy, Scikit-learn etc. * Experience with AWS technologies for computation, orchestration, and storage * Experience with designing, deploying, and maintaining microservice applications * Excellent oral and written communication skills * Experience working in and leading project teams * Ability to work in an agile, fast-paced startup environment * Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely * Ability to think creatively and implement a plan to address bugs and urgent product issues promptly * Aptitude for time-sensitive analysis and troubleshooting tasks Primary Responsibilities: * Manage a team of data specialists * Maintain, monitor, and apply design updates to existing data collection systems * Develop and continually update technical documentation * Perform code reviews and suggest opportunities for improvements * Deliver high-quality data analysis and present findings to cross-functional teams * Collaborate effectively with an organization that prides strong interdisciplinary teamwork among members * Execute with speed and rigor within an efficient and multi-faceted startup environment AI Fluency: AI plays a critical role in how we scale data operations and drive product innovation across the company. This role contributes to a broader company-wide focus on expanding AI usage to improve efficiency, quality, and insight generation. You’ll be expected to apply AI tools to streamline processes and explore new ways to unlock value through automation and analysis. We look for candidates who show curiosity and strategic thinking in how they apply AI in their work, and we assess this as a key capability during hiring. Why You'll Love it Here: * Play an instrumental role in reshaping one of the oldest industries in the world * Competitive salary and unlimited PTO * Meaningful early-stage equity * Generous healthcare benefits with medical, dental and vision coverage * Monthly catered lunches and happy hours * Company-paid learning and development assistance * Flexible working hours and ability to work remotely * Opportunity to participate in a secondment program * Dependent care assistance plan * Company-supported mentorship program * Grow in a collaborative, respectful, and empathetic culture #LI-Remote #LI-Hybrid Compensation Range: $160K - $176K

Job Description WHO WE ARE Domiciled in Bermuda, with offices in London, Miami, New York and Dubai, Relm Insurance Ltd. (“Relm”) is the first IIGB (Innovative Insurer General Business) insurer regulated by the Bermuda Monetary Authority (“BMA”). Since inception, Relm has remained focused on its Vision of “Making Innovation Resilient” by providing insurance to companies pioneering new technology frontiers in over 35 countries around the world. Relm’s dynamic global team has executed market-leading insurance solutions for companies operating in web3, AI, financial technology, biotech and other important emerging sectors. WHAT WE ARE LOOKING FOR At Relm Insurance Ltd, our Mission is “To contribute to the building of the future by creating solutions for complex risks in innovative markets.” As we continue leading the way in emerging industries, we’re looking for a Vice President, Cyber to join our team and play a key role in this mission. At Relm, we believe in fostering a diverse and inclusive culture, where everyone is empowered to bring their unique perspectives and ideas. Our core values of Accountability, Collaboration, Curiosity & Creativity, and Courage & Optimism are central to who we are, and we strive to bring these values to life every day. We bring these values to life every day — whether by collaborating on innovative solutions, tackling challenges with optimism, or pushing boundaries with creativity and courage. WHAT YOU WILL DO: • Direct the underwriting strategy, process, planning, reporting, forecasting, business development and innovation for the Cyber insurance book of business, • Underwrite, price, and negotiate risks in a manner that is consistent with Relm’s risk appetite to ensure profitability, retention, and written premium goals are achieved, • Provide a professional layer of leadership, mentorship, and management to the underwriting team, fostering a high-performance culture and promoting continued growth, training and development of junior underwriting and administrative staff, • Negotiate, prepare, and draft policy and endorsement wording, • Create and develop relationships with brokers and policyholders to establish new distribution relationships and sales channels, • Attend and occasionally present at industry conferences, as needed and as the opportunity presents itself, • Collaborate with colleagues to achieve company goals and drive cross-sell opportunities, • Assist with strategic underwriting planning by developing and maintaining suitable management information to effectively evaluate the portfolio, • Maintain compliance with all internal and external underwriting and regulatory guidelines, standards, and legal requirements WHAT YOU BRING TO THE TABLE: • Minimum of 10 years of Cyber insurance underwriting and/or broking experience, • A bachelor’s degree, or equivalent, in business, cyber security, computer science, insurance, actuarial science, or a related discipline, • Robust relationships with key US and UK wholesale and retail brokers, • Perceived as a thought leader within the cyber insurance market, • Experience with policy and endorsement wording negotiation, preparation, and drafting, • Exceptional organizational and time management skills, • Superb leadership qualities with the capability to build comradery in a global team, • Creative problem-solver with strong critical thinking skills, an ethical approach to getting things done, and an ability to apply different perspectives across the spectrum, • Ability to work in a fast-paced and dynamic work environment, • A confident communicator who can clearly and authentically convey a written and verbal message, skillfully persuade, and craft a constructive argument, • Advanced skills across all Microsoft Office applications (familiarity with Mac OS is a plus), • Excellent interpersonal skills and comfort with leading client and broker meetings, • Exceptional attention to detail and work ethic, setting an example for others, • Ability to work outside of core hours and travel overseas, as required NICE TO HAVE QUALIFICATIONS, SKILLS, AND EXPERIENCE: • Experience managing and underwriting a predominately primary book of business, • The ability to perform data analytics within MS Excel or Power BI, including functions such as Tables, Pivot Tables, formulae (VLOOKUP, IF, SUM) etc., • Professional designation in insurance underwriting, such as RPLU, CPCU, ACII, AU, or similar WHAT WE OFFER: • Paid Public Holidays: Enjoy ten (10) paid public holidays each year, giving you the opportunity to unwind and recharge., • Generous Paid Time Off (PTO): You’ll receive 28 days of Paid Time Off (PTO) annually, giving you the flexibility to take care of personal matters, vacation, or sick days., • Full Health Coverage: The company fully covers your medical, dental, vision, life, and disability insurance to ensure you and your family are well taken care of., • 401K Program with Company Match: Plan for your future with access to the company’s 401K program, including a 5% company match., • Professional Development & Mentorship: We invest in your growth through professional development opportunities, training, and mentorship programs, helping you advance in your career., • Wellness Stipend: Take care of yourself with a monthly wellness stipend to support your health and well-being., • Commuting & Travel Reimbursement: We offer a commuting reimbursement to help with transportation costs, including parking, making your daily commute easier., • Wellness Benefits: Stay healthy and active with access to gym memberships, exercise classes, and other wellness perks that promote a balanced lifestyle., • Your Voice Matters: Work in an environment where your opinions and ideas are valued and play a crucial role in driving the success of our team., • Endless Growth Opportunities: Enjoy a multitude of career growth opportunities, ensuring that you have the resources to thrive and advance within the company. At Relm, you won’t just join a company - you’ll be part of a team that’s shaping the future. If you’re ready to make an impact, we’d love to hear from you.

What Sets You Apart - Preferred Degree in Actuarial Science, Banking and Insurance, Banking and Finance, Business Administration/Management, Economics, Economics and Finance, Economics and Finance & Technology, Finance, Finance & Technology, Management Information Systems, Organizational Management,

The San Francisco Tri-State Property and Casualty practice, comprised of about 50 employees, represents a wide range of expertise, with abundant opportunities to develop and apply actuarial and complementary skills such as data science and geospatial analysis. Individual(s) must be legally authorize

Position Overview We are seeking a skilled Data Modeler with expertise in designing, implementing, and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual, logical, and physical data models that support insurance operations, including policy administration, claims, underwriting, billing, and regulatory compliance. The role requires strong experience with Erwin Data Modeler or similar tools, deep knowledge of insurance data processes, and the ability to work closely with business and technical stakeholders to ensure data integrity, scalability, and compliance. Key Responsibilities Data Modeling & Design • Design, develop, and maintain conceptual, logical, and physical data models for insurance applications and systems (claims, policy, underwriting, billing, reinsurance, etc.)., • Build and maintain enterprise data models aligned with insurance industry standards (e.g., ACORD)., • Define data dictionaries, metadata, and relationships to support data governance and consistency., • Translate business requirements from claims, policy administration, underwriting, actuarial, and finance teams into scalable data solutions., • Support regulatory and compliance reporting requirements (e.g., IRDAI, IFRS, Solvency II)., • Partner with business analysts, data architects, and developers to deliver insurance-specific data solutions., • Work with data warehouse, ETL, and BI teams to ensure seamless integration of insurance data., • Enforce data governance and quality standards across insurance systems., • Document business rules, lineage, and data definitions for core insurance entities., • Conduct impact analysis for changes in insurance processes and data flows. Qualifications Experience • 5+ years of experience as a Data Modeler or Data Architect, preferably in the insurance industry., • Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools)., • Proven expertise in modeling insurance data entities such as Policy, Customer, Premiums, Claims, Payments, Underwriting, Reinsurance, and Agents/Brokers., • Strong knowledge of insurance domain data flows and regulatory needs., • Expertise in conceptual, logical, and physical modeling., • Proficiency in SQL for data analysis and validation., • Familiarity with insurance standards (e.g., ACORD, ISO) is a plus., • Erwin Data Modeler Certification., • Insurance certifications (e.g., AINS, CPCU) are highly desirable., • Strong analytical and problem-solving skills., • Excellent communication and stakeholder management abilities., • Detail-oriented with a focus on accuracy and compliance., • Ability to thrive in a fast-paced insurance environment with multiple priorities. EXL Overview EXL (NASDAQ: EXLS) is a leading operations management and analytics company that designs and enables agile, customer-centric operating models to help clients improve their revenue growth and profitability. Our delivery model provides market-leading business outcomes using EXL’s proprietary Business EXLerator Framework™, cutting-edge analytics, digital transformation, and domain expertise. At EXL, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 32,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), South America, Australia, and South Africa. For more information, visit ___ EXL (NASDAQ: EXLS) is a leading operations management and analytics company that designs and enables agile, customer-centric operating models to help clients improve their revenue growth and profitability. Our delivery model provides market-leading business outcomes using EXL’s proprietary Business EXLerator Framework™, cutting-edge analytics, digital transformation, and domain expertise. At EXL, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 32,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), South America, Australia, and South Africa. For more information, visit Physical Demands and Working Conditions Works in a normal office environment requiring light physical effort by handling objects up to 20 pounds occasionally and/or up to 10 pounds frequently. Works with standard office equipment (such as phone, fax, and personal computer). Ability to navigate stairs frequently during the course of a business day in various work locations. Sitting at desk for most of day, and working with computer. EEO/Minorities/Females/Vets/Disabilities EXL is an equal opportunity employer and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law. *The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region-specific benefits.”

An associate degree or completion of 60 semester credits from an accredited college or university, including or supplemented by 9 semester credits in mathematics, statistics, accounting and/or actuarial science and two years of satisfactory full-time experience performing mathematical, statistical,

The Data Science team of the North America Data Analytics division at Chubb is seeking an experienced Senior Data Scientist with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics. As a Senior Data Scientist, you will develop and apply generalized linear models / machine learning solutions to complex business problems to create value for the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving. Be ready to leverage internal/external data sources as you lead, develop, deploy, and monitor best-in-class model solutions. In this role you will: • Be responsible for and lead the continued development / delivery of new and existing processes. Teach / mentor junior staff directly and indirectly., • Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics., • Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment and monitoring., • Synthesize data, to uncover inherent trends in data, to assess impact of data on business usage, and to make recommendations for improvement., • Thoughtfully identify and construct predictive variables from both internal and external data sources., • Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem., • Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups., • Provide supporting documentation for the models developed including documentation of methodologies used, data issues encountered, and responses to regulatory requests., • Required:, • Hands on experience utilizing both supervised and unsupervised ML algorithms., • Excellent understanding of data mining, predictive modeling, and data visualization., • Advanced knowledge of model tuning, evaluation, and operationalization., • Significant programming experience in either Python or R., • Significant programming experience in SQL., • Working knowledge/familiarity with Git version control., • Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats., • The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills., • Preferred:, • Prior experience in personal lines insurance, and / or knowledge of actuarial concepts., • Experience in architecting and consuming APIs at scale., • Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.)., • Experience with Text Analytics and Natural Language Processing., • Prior exposure to auto-ML platforms or technologies like H2O or DataRobot., • Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP)., • Comfortable with command line (Linux, Windows) scripting., • Experience with at least one other programming language aside from Python or R, like Julia, Scala, Go, Java, or C++., • Prior exposure to NoSQL databases. Education: • The candidate should have 4+ years of industry experience building, deploying, and analyzing generalized linear models or machine learning models, and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering. Location: • We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT)., • Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $103,700 to $176,300. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled. Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.