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

Title - Catastrophe Modeler (Treaty Experience) Location – Mumbai (Andheri) Overview We are seeking experienced Catastrophe (CAT) Modelers with 3–7 years of treaty experience, proficient in using RMS and/or Moody’s AIR tools to build and interpret natural catastrophe models. The ideal candidate should have a deep understanding of (re)insurance treaty terms, the ability to accurately read slips, and strong data analysis skills to support treaty underwriting. Strong judgment and critical thinking are essential to assess the reasonableness of model outputs and provide actionable insights to underwriting and risk teams. Key Responsibilities Receive and review submissions from brokers / underwriters. Import data into models and ensure accuracy of input data. Run simulations and analyze loss results within (re)insurance program layers. Assess and validate the reasonableness of model outputs and results. Interpret (re)insurance terms, including subject business and inuring order, within the modeling process. Send the output to pricing engine, then prepare and deliver exposure profiles and model outputs to the underwriters. Collaborate with global teams to ensure consistency and quality of modeling and reporting. Support the pricing process by providing timely and accurate model results. Required Skills and Experience 3–7 years of hands-on experience in catastrophe modeling with treaty and (re)insurance, preferably at a (re)insurance carrier or a major broker. Proficient in using RMS/Moody’s catastrophe modeling platforms. Strong understanding of (re)insurance treaty structures, terms, and modeling implications. Ability to read and interpret (re)insurance slips and contracts. Proficient in exposure data cleansing, formatting, and validation. Analytical mindset with attention to detail and problem-solving skills. Effective communication skills to interact with stakeholders e.g., Underwriters, Brokers, and global teams. Bachelor’s or a master’s degree in a quantitative field (e.g., Engineering, Mathematics, Statistics, Actuarial Science, or similar). 📩 If you meet the above criteria and are genuinely interested in this role, please apply here and also share your updated CV with the subject line “CAT Modeler – Treaty” at sonali.pathak@spinnakeranalytics.com. Kindly read the JD carefully before applying to ensure a strong match.

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. Please visit www.spinnakeranalytics.com for more details. Job Description: We are seeking a skilled and detail-oriented Data Analyst with 3-4 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. 3-4 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.

Job Title: Data/ ML-Ops Engineers Location: Mumbai ( Andheri) Company Overview: Spinnaker Analytics is a leading predictive analytics and artificial intelligence company headquartered in Boston, USA, with a global presence. We specialize in building predictive models and algorithms to solve critical business challenges across various industries. Leveraging predictive analytics, AI, machine learning, and deep domain expertise, we develop innovative analytic products and decision-making tools. For more information, visit www.spinnakeranalytics.com. Profile Overview We're seeking talented Data/ML-Ops Engineers to join our team. In this role, you'll play a key part in the data lifecycle, transforming raw data into valuable insights for data analysis and machine learning projects. You'll design and build data pipelines, ensuring data quality and collaborating closely with data scientists and business users. Responsibilities Analyze raw data, identify and address quality issues (completeness, duplicates, outliers) using SQL, Python libraries (Pandas, NumPy), and other data manipulation tools. Design, develop, and maintain data pipelines for data extraction, transformation, and loading (ETL) Perform data integrity checks and automate manual data processes for efficiency. Utilize statistical analysis and data visualization methods to explore data and prepare it for modelling. Deliver data sets in formats suitable for machine learning algorithms used by data scientists. Collaborate with data scientists and business users to understand data structures, variables, and systems. Troubleshoot data-related technical issues with data analysts and business teams. Define user access and ensure data distribution to the right users in the appropriate format and timeframe. Technical Skills & Requirements Essential: 3+ years of experience in data manipulation and wrangling for analytics. Proficiency in SQL (including stored procedures) or NoSQL databases. Strong understanding of data structures and design principles. Experience with Python libraries for data manipulation (Pandas, NumPy, etc.) Experience with Azure cloud tools like Azure Data Factory, Synapse, etc. and the medallion lakehouse architecture. Experience in containerizing solutions for CI/CD (Continuous Integration/Continuous Deployment) flows using Azure Containers, Kubernetes, Docker etc. Desirable: Certification in MS SQL or a similar data warehousing or data management solution (SSIS/SSRS/SSAS). Familiarity with cloud platforms (AWS, GCP, Azure) a plus. Experience with data warehousing concepts and tools. Knowledge of data version control systems (e.g., Git). Soft Skills Excellent collaboration skills to work effectively with data scientists, analysts, and business users. Positive and proactive approach to problem-solving. Strong communication skills to explain technical concepts to non-technical audiences.