Quantitative Insurance Solutions Analyst Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

Who we are Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. Stripe Apps connect Stripe with the tools businesses already use, bringing relevant data and workflows into the Stripe Dashboard and third-party systems. The Strategic Apps team owns a portfolio of integrations with enterprise systems that are critical to our users’ workflows—from quote-to-cash and support to reporting. We help users embed Stripe more deeply into the way they run their businesses. What you’ll do We’re looking for a Staff Product Manager to set the strategy and lead execution for Strategic Apps. You will own a portfolio of existing and new integrations, including those with systems such as Salesforce, and determine where Stripe should invest based on user needs, Stripe’s product and industry priorities, and market signals. You will work across Stripe and directly with external partners to deliver reliable, high-quality integrations that drive adoption and business outcomes. Own the vision, product strategy, roadmap, and success metrics for a portfolio of strategic apps, making and communicating clear trade-offs amid significant ambiguity. Identify, prioritize, and validate the highest-value user problems and integration opportunities through direct user research, ecosystem analysis, and quantitative evidence. Lead cross-functional teams across Engineering, Design, Data Science, Finance, Sales, User Support, Marketing, Partner Management, and other product teams to deliver and evolve integrations end to end. Par

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a significant amount of work ahead. That means you have an opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Performance and Talent Planning team is part of Stripe’s broader Talent and Development organization. We shape how Stripes grow their careers and do their best work. We build the programs, systems, and insights that help managers develop strong teams, help leaders plan for the future, and give Stripes clear opportunities to grow. Our work spans performance, talent planning, career development, succession, and organizational insights. Our goal is to make Stripe a place where talented people can build lasting careers and have an outsized impact. What you’ll do In this role, you will help translate Stripe’s performance and talent philosophy into scalable, global experiences. You will work across People Products, People Insights, Employee Relations, People Partners and other partner teams to design programs and systems that are clear for users, operationally durable, and aligned with Stripe’s future needs. You will bring a product mindset to all you do, starting with data driven problem statements, qualitative and quantitative signals, an understanding of the end-to-end user experience, an iterative design process, and an obsession with continuous improvement over time. You will be comfortable operating across time zones and navigating competing perspectives, incomplete information, and urgent priorities. A Day in the Life You start your day by reviewing your agenda in Slack or asking your AI agent to summarize ongoing work and priorities. Energized by a mix o

About the Team The Core Models team shapes how our models interact with people. We view the model as the product itself, aiming for intuitive experiences that exceed user expectations and feel like magic. About the Role As a Model Designer, you’ll have an outsized impact on how our models interact and resonate with users. You’ll strike a delicate balance between maximizing the model’s capabilities, reading in between the lines in user queries to understand how best to help, and upholding user trust. We’re looking for people who are passionate about the intersection of design, technology, and user experience — and are up for the challenge of defining new human-AI interaction paradigms. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you’ll join a small team in evolving and expanding the model design function. You will: Collaborate closely with researchers to understand, predict, and design model behavior. Partner with product managers and designers across the company to ensure a cohesive voice and approach. Proactively identify ways to improve our models based on product sense, user feedback, quantitative insights, and the research roadmap. Come up with creative strategies for collecting high-quality data. Do whatever needs to be done to make our models better. You might thrive in this role if you: Possess exceptional taste, creativity, and writing skills, allowing you to craft responses that delight users. Don’t mind ambiguity — you’re happy to throw yourself into a new, unfamiliar environment, build relationships, define a problem, and make progress. Love experimentation, and are willing to test and reject new ideas when the results don’t pan out. Exhibit high levels of empathy and self-awareness required to serve everyone in the world. Enjoy tackling profound and often philosophical questions while always driving towards clarity. Demonstrate technic

About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. This role focuses specifically on AI Safety: understanding and mitigating risks created or amplified by increasingly capable AI systems. It is not a cybersecurity, information security, or corporate security role. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs AI safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed responsibly across critical sectors. About the role We are looking for a Frontier AI Risks Lead to help us understand potential harms and misuse of AI in a time of rapid, sustained change. We seek to understand how developments in AI could intersect with misuse and abuse, accelerating existing harm areas and creating novel risks. We seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. This is an AI safety role focused on frontier and systemic risks, including model misalignment, recursive self-improvement (RSI), multi-agent interaction, loss of control, runaway agents, and related emerging failure modes. In this role, you will help provide a strategic-level perspective on a range of frontier AI safety areas, producing actionable understanding of issues relevant to OpenAI’s platforms, systems, and broader mission. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem sc

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Specialist Economist will be responsible for delivering high-quality impact assessment reports, white papers, policy research, and revenue-generating research studies. The incumbent will independently drive Economic and Social Impact Assessment (ESIA) engagements, ensuring methodological rigor, analytical excellence, and timely delivery. The role involves conducting primary and secondary research, performing quantitative and qualitative analysis, developing actionable insights, and preparing client-ready reports and presentations. The individual will collaborate closely with internal stakeholders, clients, policymakers, and industry participants to understand business requirements, provide evidence-based recommendations, and contribute to thought leadership initiatives that support client objectives and business growth. Work Location: 4 days a week from the BKC, Mumbai office and 1 day a week from the Turbhe, Navi Mumbai office.

Title: Business Growth - Research & insights About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role: We are looking for a highly driven and user-focused Research Lead to build deep customer understanding for Paytm Money. The role involves leading end-to-end research initiatives, collaborating closely with cross-functional stakeholders, and translating user behavior into actionable business and product insights. Responsibilities: Lead end-to-end research initiatives from stakeholder requirement gathering to execution and presentation of actionable insights. Design structured research frameworks, surveys, discussion guides, and user insight mechanisms. Manage and mentor research executives to ensure high-quality project delivery. Collaborate with leadership, business, product teams, and external vendors for customer-centric decision making. Build detailed user personas across investor and trader cohorts such as scalpers, swing traders, and long-term investors. Develop and maintain a centralized knowledge base on investor and trader behavior patterns. Translate research findings into recommendations across acquisition, activation, retention, and reactivation journeys. Work closely with product and growth teams to influence roadmap prioritization using user insights. Expectations/ Requirements: Minimum 4-5 years into Research and Analysis, with exposure to Stock Broking Industry. Strong understanding of qualitative and quantitative rese

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a User Researcher on the Economy team, reporting directly to the Director of Design Strategy & Operations, you will generate actionable qualitative and quantitative insights that shape core economic systems, developer monetization workflows, and immersive brand experiences. Embedded directly on product teams, you will conduct generative and evaluative research centered on how creators build businesses, how brands interact on the platform, and how users participate in virtual economies. You will tackle high-priority features, solve complex behavioral puzzles, and help translate multi-faceted economic infrastructure into intuitive, trustworthy, and scalable experiences. Partnering closely with Product, Product Design, Engineering, Data Science, and Policy, you will ensure user needs directly inform platform decisions while driving mutual value across players, creators, and brands. You will: Execute end-to-end mixed-methods research projects to understand creator monetization, payouts, advertising, and commerce workflows, translating abstract user behaviors into clear product feature recommendations. Conduct foundational research to uncover key user pain points, mental models, and behav

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The role you’ll play At Mindbody, product marketing is the heartbeat of how our innovation meets the world. As Product Marketing Lead, you'll translate powerful product capabilities into crisp, compelling stories that resonate with business owners and fuel adoption across the experience economy. From gym owners to enterprise brands, our customers rely on Mindbody to help them run and grow their wellness businesses. Your work will ensure they understand—and love—what we’re building for them. This is a high-impact, high-autonomy role for a storyteller who’s strategic, collaborative, and fluent in both insight and execution. You’ll: Lead go-to-market for strategic launches, owning positioning, messaging, content, and rollout strategy from end to end Develop engaging, scalable content tailored to business owners and decision-makers Craft and manage customer-facing comms across in-product messaging, emails, release notes, and more Equip Sales and Success teams with assets, training, and narratives that win trust and drive growth Use qualitative and quantitative research to shape messaging, validate decisions, and uncover new opportunities Analyze data to guide strategy, test hyp

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders. We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance. Roles & Responsibilities: You'll contribute to critical projects across three main core areas: Internal Strategic & Operational Initiatives Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making New product launches: Build and present financial models, business cases, and investment analyses for new product launches GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches Unit Economics: Recommend strategies that balance growth

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely. Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part. AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract. Here's what your first twelve months should look like First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means. Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed. Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers. Here's a breakdown of what you'll do (not all

#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience m