Job Title : Senior Data Analyst. Location : Andheri (Mumbai). Company Overview Spinnaker Analytics is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise. Job Description We are seeking a skilled and detail-oriented Data Analyst with 4-5 years of experience to join our dynamic team. The Data Analyst will be responsible for gathering, processing, and analyzing data to provide actionable insights that support strategic business decisions. This role offers an opportunity to work on impactful projects and contribute to the development of advanced analytic solutions. Responsibilities Collect, clean, and preprocess data from diverse sources to ensure data integrity and reliability. Conduct exploratory data analysis to identify complex datasets' trends, patterns, and anomalies. Develop and maintain interactive dashboards and reports to communicate insights effectively. Collaborate with cross-functional teams to understand data requirements and deliver tailored insights. Design and implement predictive models and analytical tools to enhance decision-making processes. Document methodologies, findings, and insights clearly and concisely for stakeholder review. Requirements Bachelor's degree in engineering, Computer Science, Statistics, or a related field. 4-5 years of experience in data analysis, with proficiency in programming languages and tools such as Python, R, SQL, or Excel. Experience with data visualization tools like Power BI. Strong analytical and problem-solving skills, with a keen attention to detail. Excellent communication skills, with the ability to present findings to both technical and non-technical audiences. Familiarity with machine learning techniques and their application in data analysis is a plus. Benefits Opportunity to work in a collaborative and innovative environment with industry-leading technologies. Exposure to real-world projects that drive business impact and enhance technical skills. Mentorship and support for professional growth and career advancement. Flexible work hours and a supportive team culture. (ref:hirist.tech) Show more Show less

Catastrophe Modeler - Treaty Underwriting Location : Andheri, Mumbai Experience : 3–7 Years About the Role We are looking for experienced Catastrophe Modelers with a strong background in RMS (or Moody’s) natural catastrophe models to join our growing analytics team. This role will support treaty underwriting and reinsurance pricing by assessing exposure data, running catastrophe simulations, and delivering actionable insights to global stakeholders. You’ll play a critical role in the risk assessment process—analyzing potential losses from natural disasters, running catastrophe models, and preparing inputs for the pricing engine to support informed underwriting decisions. Key Responsibilities Import, validate, and prepare exposure data for catastrophe modeling Use RMS/Moody’s models to simulate losses for perils such as earthquake, cyclone, flood, etc. Generate and interpret key risk metrics, including Probable Maximum Loss (PML), Average Annual Loss (AAL), and Total Insured Value (TIV) summaries Develop exposure profiles and contribute to pricing analysis for treaty, (re)insurance submissions Collaborate with underwriting and pricing teams to provide insights and recommendations based on model outputs Ensure consistency and accuracy in model inputs; maintain documentation for audit and governance purposes Support treaty and facultative reinsurance modeling for both internal and client-facing deliverables Coordinate with global teams to meet project deadlines and analytical standards Key Requirements 3–7 years of hands-on experience in catastrophe modeling using RMS RiskLink , RiskBrowser , or AIR Touchstone Solid understanding of exposure data structure, cleansing, and validation Familiarity with (re)insurance concepts, including treaty terms, inuring order, and subject business Proficient in MS Excel ; working knowledge of SQL or Python is an advantage Prior experience in a (re)insurance company or reinsurance broker environment is strongly preferred Excellent analytical, communication, and collaboration skills Why Join Us? Collaborate on global (re)insurance portfolios and high-impact modeling projects Gain exposure to cutting-edge catastrophe modeling tools and practices Join a growing analytics team with strong career development opportunities Be part of a dynamic, global organization that values technical expertise and innovation Company Description Spinnaker Analytics builds powerful predictive algorithms to engineer our clients’ growth. We combine data science with pragmatic business experience to develop advanced yet intuitive solutions for our clients. Our goal is to simplify decision making and accelerate results, providing clear and actionable insights that drive success. Show more Show less