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. 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

A Career with Point72’s Valuation Team The Point72 Valuation team manages the valuation of all investments across the firm’s extensive hedge fund, private equity, and venture capital portfolios. The team’s investment valuation coverage ranges from exchange traded products to derivatives traded in OTC markets, to venture capital and private equity. The Valuation team provides valuations and P&L for investments for stakeholders across the firm, including Senior Management, portfolio managers/deal teams, Risk Management, and investor reporting. What you’ll do Manage the valuation of mortgage-backed securities, including specified pools, CMOs, TBA/TBA options, and non-agency products. Oversee market data inputs to valuation models, ensuring compliance with the firm’s valuation policy. Perform model validation for new or upgraded valuation models supporting new products and system enhancements. Perform price testing analysis against counterparty valuation and third-party pricing vendors such as Bloomberg, JPM PricingDirect, and BofA PriceServe. Maintain valuation support documentation to evidence the accuracy of investment valuations. Partner with investment professionals, Risk, and other supporting teams on pricing, valuation, P&L, and valuation models. Collaborate with the Technology team to implement valuation setups for new products and automate valuation processes. What’s required 7+ years of mortgage valuation experience covering agency MBS, including specified pools, CMOs, TBA/TBA options, as well as non‑agency products such as RMBS, CMBS, and CLO. Strong quantitative or finance background. Strong knowledge of derivatives valuation modeling principles. Knowledge of financial products and Greeks, particularly in the derivatives space. Strong sense of ownership and the ability to resolve issues independently. Excellent interpersonal and communication skills, both written and verbal, with the ability to work effectively on a cross-functional team. Strong lead

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. SoFi’s Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company’s risk appetite and helps create the products and experiences that put our members’ interests first. The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi’s lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The Credit Strategy Lead will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical anal

GAQ227R124 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for an outstanding Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this role, you will have the opportunity to strategically assess consumption growth drivers and partner with our GTM team to drive impact. As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, and you will approach them with first principles thinking to come up with a solution. The impact you will have: Analytically solve problems with the ability to gather and summarize large amounts of data to lead efficient executive decision-making; Lead the end-to-end recommendation process Nurture deep, trusted partnerships with Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their respective technical teams Find creative solutions for data challenges and be able to communicate with easy-to-understand narratives and presentations Build and maintain financial and operational models, helping us understand real-time forecasts for key financial metrics Propose and implement solutions to drive key financial metrics in partnership with the GTM team Guide process improvement, standardization, simplification, install proper controls, and reporting enhancements What we look for: Bachelor's Degree in Business, Finance, IT, or equivalent quantitative field 6+ years or equivalent tenure from related positions in FP&A, corporate finance, accounting, or data analytics teams Business Partnership: Proven ability to drive strong cross-functional relationships (especially with GTM organizations) to achieve business outcomes Financial Modeling: Be able to u

Our customer base is growing exponentially, and you will be on the front lines of ensuring that the world's most innovative companies become passionate, lifelong, Scale customers. Our Solutions Engineers ensure customers' first experiences with Scale's technology are flawless and lead to a successful long-term partnership. The work will vary daily, and we’re looking for technical experts excited to solve tough problems. As a solution engineer, you will be a part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients. What you'll do: Become an expert on the end-to-ends of Scale Products Create tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level. Partner with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer. Integrate and ingest a variety of external datasets to solve government use cases. Interact with customers on a day-to-day basis to understand their pain points and design solutions Work with internal product and engineering teams to turn customer requirements into Scale capabilities Understand public sector mission sets and strategic objectives to better showcase Scales products. Ideally you'd have: Strong engineering background, preferably in computer science, mathematics, or other quantitative fields Strong communication skills - ability to interact with both technical and non-technical customers at all levels At ease with technology, able to quickly pick up new tech stacks and troubleshoot Previous experience working with Public Sector customers - our business is diverse and growing across both National Security and Federal Civilian communities. Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages. A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment Active US Government Se

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. As a Systems Engineer at Zoox, you will be working with cross functional teams including product, feature, operations, vehicle engineering, software, autonomy, and legal to design, develop, and deploy systems that enable and support safe autonomous driving. You are responsible for ensuring these systems are developed within a safety engineering process that results in end-to-end traceability and achievement of both system safety targets and product requirements. In this role, you will: Lead powertrain safety and fail-operational design and analysis covering high-voltage battery systems, charging, propulsion, and on-vehicle load management Architect vehicle-level safety concepts, focusing on fault tolerance, and fail-operational behaviors necessary for supporting autonomy and ensuring mission assurance on the vehicle’s powertrain functions Develop vehicle level safety concepts covering fault detection, and vehicle level reaction for ensuring the powertrain systems can achieve mission objectives under presence of faults Own the delivery of key work-products including hazard analysis risk assessment (HARA), fault tree analysis (FTA), functional safety concept, vehicle level safety requirements, safety clearance artifacts, and quantitative residual risk assessments Drive consensus across product, feature, operations, vehicle engineering, software, autonomy and legal teams to implement and release safety requirements Qualifications B.S. or higher degree in Automotive, Aerospace, Robotics, Computer Science, Electrical, Mechanical, or

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for business operations managers to join the team. This person will work closely with folks across marketing, sales, operations, and finance across a variety of initiatives to help scale the business in our next phase of growth. You'll be a generalist who gets in the weeds on all the business and operational aspects of a high-growth startup. In this role, you will: Drive in-depth quantitative analyses to inform our pricing and packaging strategy. Help spin up our deal desk and streamline enterprise deals. Support the exec team on various finance functions, from investor relations to large cloud vendor negotiations to identifying cost optimization opportunities. Implement new tools and processes to enable the GTM org to grow rapidly. Get creative on a spectrum of ad-hoc projects like securing new office space in Manhattan. Requirements: We are looking for someone who: Has 5+ years exp

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 We're seeking a Senior Product Manager with exceptional product sense to drive the user experience vision for tools at Replit. You'll focus on understanding developer and non-developer needs, designing intuitive AI interactions, and creating delightful experiences that that make coding accessible to everyone. You Will: Define and execute the user experience vision for AI-driven software creation Conduct deep user research to understand developer pain points and workflow needs Design AI-powered features that feel intuitive and magical to users of all skill levels Own user journey optimization from onboarding through advanced AI-assisted development Drive product strategy based on user feedback, market research, and competitive analysis Partner with design teams to create compelling AI interaction patterns and interfaces Who You Are: Obsessed with creating exceptional user experiences and have a track record of building beloved products Deeply empathetic towards developer pain points and make it a point to put yourself in users' shoes Strong at qualitative and quantitative analysis, turning user insights into actionable product decisions Excellent at storytelling and can articulate compelling user narratives and product visions Biased towards execution and learning through rapid iteration and user feedback Required Skills & Experience: 5+ years of product management experience with a track record of building exceptional user experiences Strong product sense and intuition for what makes great developer tools and experiences Experience conducting user research and translating insights into product strategy Deep intuition about AI trends and products, particularly in automation and natural language interf

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM) , trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. Role Overview We are seeking an analytical, customer-obsessed Product Manager (3–5 Years Experience) with a strong background in Product Research and Customer Satisfaction (CSAT/NPS) . In this role, you will sit at the intersection of enterprise customer needs, market intelligence, and product execution. You will act as the champion of the end-user, using qualitative research, data analytics, and direct customer feedback to shape the Hexnode product roadmap and ensure our platform remains the most user-centric UEM solution on the market. Key Responsibilities Product Research & Strategy Lead continuous product discovery through qualitative user interviews, quantitative surveys, competitive analysis, and usability testing with global IT administrators. Synthesize complex market trends and security/endpoint management requirements into actionable product requirements and detailed PRDs. Translate raw research insights into user personas, customer journey maps, and high-impact feature enhancements. Customer Satisfaction & Feedback Optimization Own and scale Hexnode’s Voice of Customer (VoC) program, directly connecting customer feedback loops (NPS, CSAT, G2/Capterra reviews, churn analysis) to sprint planning. Partner with Customer Success, Support, and Sales teams to identify major platform friction points, reducing time-to-value and customer churn. Design and manage Beta testing programs to validate feature utility and usability prior to full commercial rollout. Product Execution & Cross-Functional Leadership Work

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 As a Deployment Strategist Intern, you'll work as part of a diverse, generative, and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most important problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. The problems you'll solve will require a curious and analytical mindset, a sharp intuition for product, an ability to speak the language of data, and an understanding that humans should make decisions. At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. Deployment Strategists are do-ers who thrive in ambiguity, react quickly to new stimuli, and don't equate pivoting with failing as they operate in pursuit of truth, value, and meaningful impact. In this internship, you'll immerse yourself in intricate customer workflows, explore data using quantitative analytics across large datasets, and dive into the product landscape. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. No two days are the same, but as a Deployment Strateg

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. 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 will Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments Fluency in SQL and Python ,

About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. 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 will Embed with the Codex product team to discover opportunities that improve developer outcomes and growth Design and interpret A/B tests and staged rollouts of new coding models and product features Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have 5+ years in a quantitative role at a developer-facing or high-growth product Fluency in SQL and Python; comfort with experiment design and causal inference Experience defining product metrics tied to user value Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have Strong programming background; ability to prototype, run simulations, and reason about code quality Familiarity with IDE/extensi

About the Team OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. About the Role As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI. 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 will Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products) Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality) You might thrive in this role if you have 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus) Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety) Strong cross-functional communication with PMs, enginee

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 team Meesho is on a mission to enable 100 million businesses to succeed online. With your help, we can go beyond!As Lead Product Designer, you will be part of a team solving a unique problem, one that’s mostly untouched by other e-commerce players. We are making eCommerce accessible for Tier-2+ markets who are new to eCommerce and have almost never transacted online before. Our Design team is as diverse as our users. Today, the team comprises about 50 Designers -- including Product , Visual & Motion Designers. But wait, there’s more! We’re individuals who are obsessed with our users. We empathise. We solve at grassroot levels. We are breaking all the barriers -- be it language, literacy, culture, or technology. About the role If you love designing, keeping users first, getting deep into data and enhancing user experiences, you may be our next Lead Product Designer!As a Lead Product Designer, you will be responsible for driving design across key charters, and mentoring/managing juniors working on these charters. You’ll collaborate closely with Product, Business, Data, and Engineering teams to identify problems and craft experiences that are both impactful and delightful. Alongside taking ownership of complex individual contributor work, you will also mentor and manage a small team of designers—helping them grow while driving quality across the board. What you will do Be the primary owner of multiple charters Be able to lead design and mentor/guide peers in framework thinking and conducting deep research which leads to actionable outcomes Design and validate new experiences via mockups, wireframes, flow diagrams, sketches, and other UX artefacts Conduct quick rounds of usability testing Individually contribute to the design decisions and mentor senior and junior Designers for holistic growth Effectively use quantitative and qualitative data to drive decisions and measure success Collaborate with th