Quantitative Insurance Solutions Analyst Jobs

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. We’re looking for a Senior Product Manager to join our team and help shape the future of business messaging and AI-powered customer engagement. This is a career-defining opportunity to lead a world-class team of engineers, designers, and researchers to deliver products that touch millions of people every day. What will I be doing? Be the Product Manager for the Messenger, Fin’s most important channel Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team. Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement. Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations. Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact. Evaluate impact through quantitative

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Palantir Design Team is responsible for the human experience of using our software. Our team is growing rapidly, but we're committed to creating a tight-knit team environment that fosters trust, integrity, empathy, and growth. We work together in realizing a shared product vision, and regularly give feedback and critique to each other. Designing at Palantir is a varied experience. On a given day, you might be: leading a design sprint for your product team; designing a micro-interaction to make a complex analytical task feel simple; and/or advocating for UX consistency by creating flexible, reusable UI components. Designers at Palantir develop a deep understanding of the problems our customers face while solving some of the world’s most unique challenges. Our mission is to build generalizable and scalable solutions that elegantly handle the complexity of these problem spaces. Core Responsibilities Interaction and visual design . As a product designer, you'll be involved at every stage of design work. You'll help define early product concepts, flesh out the high-level workflow and micro-interactions of a feature, and execute on a crisp and effective visual design. You should have experience designing and prototyping using tools such as Figma. User research . We frequently do informal user research, and value people who can be flexible with research processes and methodologies to achieve the right outcome. You'll often visit customer offices to interview and learn from the users we serve. You'll pair qualitative methods (e.g. scripted usability tests and contextual inquiry) with quantitative information, like

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams REQUIREMENTS Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Attention to detail and a love of processes Strong oral and written communication skills Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues Ability to multitask and prioritize assignments Commitment to the highest ethica

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role: We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries. More specifically, you will: • Engage with clients to understand their business context • Understand business processes and map the complete process in visual formats. • Translate business problems into analytical structures and solve using statistical/ML techniques • Manage a team of data analysts to deliver solutions for clients. • Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Desired Skills & Competencies: • Developing and enhancing algorithms and models to solve business problem. • Providing end-to-end analysis support across different industry domains and application areas. • Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations) • Conducting quantitative analyses and interpreting results • Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any). • Proficient in MS SQL Data

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering,

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Palantir Design Team is responsible for the human experience of using our software. Our team is growing rapidly, but we're committed to creating a tight-knit team environment that fosters trust, integrity, empathy, and growth. We work together in realizing a shared product vision, and regularly give feedback and critique to each other. Designing at Palantir is a varied experience. On a given day, you might be: leading a design sprint for your product team; designing a micro-interaction to make a complex analytical task feel simple; and/or advocating for UX consistency by creating flexible, reusable UI components. Core Responsibilities You’ll work on product teams with minimal supervision and own end-to-end execution of real product features. You will work with fellow Designers, Product Managers, Developers, and Forward Deployed Engineers to refine and evolve the quality of Palantir products. Interaction and visual design . As a product designer, you'll be involved at every stage of design work. You'll help define early product concepts, flesh out the high-level workflow and micro-interactions of a feature, and execute on a crisp and effective visual design. You should have experience designing and prototyping using tools such as Figma. User research . We frequently do informal user research, and value people who can be flexible with research processes and methodologies to achieve the right outcome. You'll often visit customer offices to interview and learn from the users we serve. You'll pair qualitative methods (e.g. scripted usability tests and contextual inquiry) with quantitative information, l

About the Role Support Operations is one of our core operations teams, responsible for making sure that when things go wrong, there's always someone there to make it right. The team designs, manages, and operates a large and growing global network of support centers, with the goal of delivering a world-class customer experience every time. We're looking for an experienced Workforce Planner to help develop and scale our support lines of business. This role is central to planning monthly, daily, and hourly staffing levels, and to keeping hiring plans current so we consistently deliver best-in-class service. You'll play a key part in improving forecast accuracy, reporting, and how we plan around floor staff utilization and efficiency — for a 24/7/365 organization, wherever it operates. You're excited about this opportunity because you will… Capacity planning Build and maintain support capacity plan models at the monthly, weekly, and interval level, using a quantitative model to determine the staff required to service forecasted volumes Match staffing supply to required staff to ensure efficient service level attainment, and make hiring, ramp, and staff-reduction recommendations Keep capacity plans and assumptions accurate, current, and aligned to source-of-truth headcount data, auditing regularly for accuracy Ensure alignment from the smallest site/team level of detail up through the broader org-wide capacity plan Maintain documentation of planning methodology, assumptions, and processes, and continually improve the planning tools, models, and templates themselves Forecasting & scenario planning Forecast incoming contact volume using historical and benchmark data, tracking deviations between forecast and actuals on a regular cadence Build, update, and present "what-if" scenarios to evaluate potential changes and support upcoming initiatives, as well as annual, half-year, and quarterly planning scenarios for long-range and financial planning Build and validate capac

As a Senior Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them What You’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Who You Are: Experienced in 4+ years of Deal Desk experience Confident in deal structuring/quoting complex SaaS transactions for a fast-growing global company Knowledgeable of revenue recognition principles Comfortable representing the company to customers in negotiations and resolving customer satisfaction issues Strong in your attention to detail and communication skills Able to work independently and multi-task in fast paced, high pressure environment Data-driven with strong quantitative skills Analytical with the ability to approach a problem from multiple perspectives Bonus Points: Experience with Salesforce and CPQ Advance level with MS Excel or similar. Datadog values people from all walks of l

About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country One of the fastest growing companies in Chicago Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies Compensation Year 1 Expected Earnings → $115,000 to $200,000. The expected salary range above may vary based on qualifications and experience. Title: Senior Product Manager, Customer Platform About this Job We're looking for a Senior Product Manager to own our customer-facing energy purchasing and tracking platform during a critical high-growth phase. You'll define and drive the vision for turning that platform into an interactive, data-rich experience — think Bloomberg Terminal or Robinhood — that gives clients real-time visibility and control over their energy purchasing decisions. This is a flagship customer-facing bet, and you'll be the senior product voice shaping it end to end. What You'll Do Own the product roadmap and vision for the customer-facing platform, translating energy purchasing and tracking into an interactive, real-time interface Partner with Engineering, Design, and Quantitative Strategy to define data visualizations, live pricing displays, and interactive tools that make complex energy market data intuitive for clients Gather requirements directly from clients, Sales, and Customer Success to identify what drives engagement and decision-making on the platform Write detailed product requirements and specs, and work closely with engineering to ship features that measurably improve client engagement and retention Define and track success metrics (engagement, retention, feature a

About Karya : Why was Karya on the cover of the Time Magazine , highlighted by Satya Nadella , and chosen by Google as its partner for Project Vaani ? In part, because Karya is on a mission to provide AI enabled earning and learning opportunities to economically underserved communities, thereby building a pathway out of poverty for them. Karya achieves this while also delivering high quality, timely, and price competitive data to its clients. Karya's workers make at least 20 times the Indian minimum wage and through our one-of-a-kind digital work platform, we have delivered over 40 million digital tasks and are poised to positively impact over 100 thousand workers by the end of the year. In the coming years, our goal is to rapidly scale our impact by bringing economic opportunities to millions of underserved users in India. The Role At Karya, we're building AI evaluation systems that measure and understand whether these systems actually work for the communities they're meant to serve. We're looking for a research intern who can bring a social science lens into this work, specifically around evaluating language technologies (speech, text, and translation systems) built for and with Indian communities. You'll be embedded with the Evaluations team within Karya's tech team, which means you'll get a front-row seat to the full arc of AI work happening in India today from how models are built, to how they're tested, to how they land in the hands of rural and economically underprivileged communities. You'll be expected to stay current on AI evaluation science itself, and use your disciplinary training to ask sharper questions about what these systems are actually doing, and to whom. Concretely, this means: Applying social science research methods (qualitative and/or quantitative) to the evaluation of AI/ML systems, particularly language technologies Contribute to developing AI evaluation and testing methodologies Investigating how these technol

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re seeking a Senior Data Scientist to help us evaluate and improve the quality and performance of our AI systems. You’ll develop rigorous approaches to measuring system behavior, run experiments, investigate issues, and turn complex data into actionable decisions. This is a hands-on role at the intersection of data science, engineering, and applied AI. You’ll work directly with production data and systems and partner closely with Engineering, Product, and Analytics. Responsibilites AI Evaluation: Develop quantitative methods and tooling to evaluate AI system quality and performance. Experimentation: Design and run experiments to compare approaches, understand tradeoffs, and measure the impact of changes. Quality Monitoring: Build repeatable processes to identify regressions, anomalies, and changes in system performance. Data Analysis: Extract, transform, and analyze production data to support technical and product investigations. Technical Investigation: Diagnose complex issues involving data, models, and production systems, identifying root causes and potential solutions. Measurement & Instrumentation: Partner with Engineering to improve how system quality, reliability, and performance are measured. Internal Tooling: Build tools and dashboards that make system performance easier to understand and monitor. Communication: Clearly communicate findings,

We believe that communication belongs to everyone. TextNow is redefining how people connect by combining simplicity, intelligence, and accessibility. We’re a team of curious builders using technology to make communication more affordable and powerful for millions of users every day. Free has to keep getting better. Monetization has to feel fair. And there’s a much larger TextNow ahead of us than the one we’ve built so far. We’re looking for a Senior Product Manager to help shape that future. What You'll Do You’ll lead a customer-facing product area at TextNow. Scope will be defined at offer and calibrated to your strengths alongside the company’s highest-impact opportunities. We craft roles around leaders — not the other way around. You’ll own strategy and outcomes for your area, partner directly with company leadership, and ship products that move us closer to our mission of democratizing phone service. You’ll be expected to: Own product strategy, roadmap, execution, and outcomes for a key product area Identify meaningful customer problems and translate them into impactful solutions Partner closely with Engineering, Design, Data, Marketing, and Leadership teams Make high-quality decisions in ambiguous, fast-moving environments Drive experimentation, prioritization, and iteration using both qualitative and quantitative inputs Balance customer experience, business impact, and technical realities Build systems and workflows that leverage AI as part of how products and teams operate Ship quickly, learn continuously, and raise the bar for product thinking across the company You Will Be a Match If You build for users, not at them, and consistently identify meaningful customer problems You thrive in ambiguous environments and can make thoughtful decisions before consensus forms You have strong product instincts and high standards for quality and execution You’ve shipped products scrappily and understand the measurable impact of your work You know how to prioritize effecti