Quantitative Insurance Solutions Analyst Jobs

At Asana, security is foundational to our mission of helping teams work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats, ensuring compliance, and fostering a culture of security throughout our product and operations. As the Security Risk Manager, you will own Asana's internal security risk management program end-to-end. This is a senior role for someone who goes beyond frameworks and checklists — you will engineer the quantitative and automated foundations that let Asana continuously measure and make confident decisions about security risk. You'll build the systems and processes that make risk scalable, not just the policies that describe it, and serve as a trusted advisor to senior leadership. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements What you'll achieve Own Asana's security risk management program: Design and continuously mature a quantitative risk framework — including risk scoring methodologies, likelihood and impact modeling, and risk appetite thresholds — that enables consistent, data-driven risk decisions across the organization. Build and maintain a living risk register: Own Asana's central security risk register, developing KRIs, tracking trends over time, and driving accountability for risk treatment and remediation with business and technical owners. Automate risk identification and monitoring: Design and implement automated data pipelines and integrations that continuously surface security risks — pulling signals from vulnerability scanners, cloud security tooling, SIEMs, and third-party risk sources — so Asana's

Title: AM/DM - VOC Research 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 customer-centric and execution-oriented VOC Research Executive to support user research and voice-of-customer initiatives for Paytm Money. The role involves conducting qualitative and quantitative research, managing research operations, and generating actionable insights to improve user experience and business outcomes. Responsibilities: Manage and maintain focus groups across different investor and trader cohorts for qualitative and quantitative research initiatives. Conduct research with internal and external users to derive actionable insights for business and product teams. Coordinate research operations including vendor payments, user incentive distribution, and participant management. Build detailed user personas across various cohorts such as scalpers, swing traders, and long-term investors. Develop and maintain a knowledge base capturing investor and trader behavior patterns on the platform. Support business and product teams with insights across acquisition, activation, retention, and reactivation journeys. Prepare research summaries, reports, and presentations with clear recommendations. Work closely with cross-functional stakeholders to ensure smooth execution of VOC initiatives. Expectations/ Requirements: Minimum 4 years of Research and Analytics, with Stock Broking Industry experience. Strong communication and stakeholder m

A Career with point72’s technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do As a software engineer on our Risk Technology team, you will use your programming expertise to build a scalable reporting framework capable of processing terabytes of data for complex risk calculations within Point72 Risk Department. Build analytical framework to enable flexible large-scale compute on big datasets Develop quantitative understanding of risk to anticipate the requirements of our team Innovate and improve our capabilities to deliver high quality products to our business partners Solve complex and challenging problems through the application of creative and unique solutions using the latest technology What’s REQUIRED Minimum of 5 years’ programming experience in Python and/or one of functional languages Bachelor's in computer science, math, physics or related technical field Programming experience in a quantitative environment with statistic models or complex aggregations Awesome team player with excellent written and verbal communication skills with peers and clients Problem solving skills with deep understanding of core computer science algorithms and data structures Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Health care benefits Maternity, Adoption & related leave policies Generous paternity and family care leave policies Employee Assistance

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Operations team at Mixpanel partners with the Regional Business Leaders to help set and execute global and regional revenue strategies. We build and execute core operational processes such as business planning and reporting, facilitate key decision making, work with leadership on crafting strategies and support ongoing business operations management - whatever is needed to make our Sales teams successful! About the Role As Revenue Strategy & Operations Manager , you will own core business operations for the region, your job will include in-depth quantitative analysis of operating metrics with a particular focus on problem-solving and creating scaled systems and processes. You will work closely with the VP of North America and cross-functional teams to quickly understand opportunities and implement solutions. Responsibilities Primary advisor to North America VP on end-to-end Go-To-Market operations Perform strategic product, market, and customer analyses to identify new growth drivers or opportunities for improvement Support annual planning cycles including goaling, coverage model revisions, territory design, and cascading our financial plan Drive continuous improvement through standard operating cadences including weekly forecast and metric reviews in addition to monthly and quarterly go-to-market business reviews Define, manage, and provide insights on key performance indicators across a range of segments, geographies, and go-to-market teams Collaborate with sales, finance, revenue operations, marketing, and other cross-functional stakeholders to design and execute strateg

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Operations team at Mixpanel partners with the Regional Business Leaders to help set and execute global and regional revenue strategies. We build and execute core operational processes such as business planning and reporting, facilitate key decision making, work with leadership on crafting strategies and support ongoing business operations management - whatever is needed to make our Sales teams successful! About the Role As Revenue Strategy & Operations Manager , you will own core business operations for the region, your job will include in-depth quantitative analysis of operating metrics with a particular focus on problem-solving and creating scaled systems and processes. You will work closely with the VP of North America and cross-functional teams to quickly understand opportunities and implement solutions. Responsibilities Primary advisor to North America VP on end-to-end Go-To-Market operations Perform strategic product, market, and customer analyses to identify new growth drivers or opportunities for improvement Support annual planning cycles including goaling, coverage model revisions, territory design, and cascading our financial plan Drive continuous improvement through standard operating cadences including weekly forecast and metric reviews in addition to monthly and quarterly go-to-market business reviews Define, manage, and provide insights on key performance indicators across a range of segments, geographies, and go-to-market teams Collaborate with sales, finance, revenue operations, marketing, and other cross-functional stakeholders to design and execute strateg

Title: Manager/Sr. Manager - VOC Research 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 customer-centric and execution-oriented VOC Research Executive to support user research and voice-of-customer initiatives for Paytm Money. The role involves conducting qualitative and quantitative research, managing research operations, and generating actionable insights to improve user experience and business outcomes. ResponsibilitiesManage and maintain focus groups across different investor and trader cohorts for qualitative and quantitative research initiatives. Conduct research with internal and external users to derive actionable insights for business and product teams. Coordinate research operations including vendor payments, user incentive distribution, and participant management. Build detailed user personas across various cohorts such as scalpers, swing traders, and long-term investors. Develop and maintain a knowledge base capturing investor and trader behavior patterns on the platform. Support business and product teams with insights across acquisition, activation, retention, and reactivation journeys. Prepare research summaries, reports, and presentations with clear recommendations. Work closely with cross-functional stakeholders to ensure smooth execution of VOC initiatives. Expectations/ Requirements: Minimum 2 years of Research and Analytics, with Stock Broking Industry experience. Strong communication

Opportunity Overview: We are seeking a Healthcare Analytics Analyst to join our Analytics team. In this role, you will conduct analyses that drive our strategy, inform product performance, and provide insights critical to the development of new clinical intervention strategies and product enhancements. You'll partner closely with cross-functional teams and clients to optimize auto-decisioning performance and deliver increased value. This is an opportunity to directly impact company growth and assist patients at a critical time in their healthcare journey. What you’ll do: Research, build, execute and optimize auto-decisioning strategy for new client implementations Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients Perform quantitative analysis of health care cost, operational performance and clinical outcomes using claims and authorization data Track cost, utilization and industry trends to inform stakeholders of solution performance and provide insights around opportunities to optimize clinical value for patients, providers and payers Prepare information for clients, build reports, data visualization and self-service solutions for internal and external stakeholders Develop, review, and analyze detailed data sets leveraged for client reporting/analytics Collaborate with IPA team on rule refinement and metric tracking What you’ll need: 2+ years of experience working in an analyst role 1+ years experience building and/or maintaining dashboards and self-service business intelligence tools such as Tableau or PowerBI Demonstrated expertise in conducting complex analyses and identifying opportunities to drive enhanced value Proficiency with statistical analysis tools (such as SQL, R, or SAS) to extract insights from complex healthcare data sets,

ABOUT CANVAS On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts – our team produces impactful research that will change the way you look at the world. WHAT YOU’LL DO When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same – from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals. Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a fundamental researcher, your qualitative research will explain the why. In this role you will: • Become a subject matter expert on an assigned industry • Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts; real-time changes in supply/demand dynamics; and emerging competitors, markets, and technologies) and, importantly, why it is happening • Synthesize your findings in comprehensive reports that present a view of the industry • Gain unparalleled exposure to, and learn from, business leaders across industries, including private company executives and your colleagues • Interact directly with our investment professionals and learn the discretionary investment process to he

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Project Title : Dye penetration efficiency against viscosity evaluation Description: Varying viscosity of Dykem Red Ink at different counts of use (re-use cycles) can increase viscosity over time, which may limit dye penetration and lead to no/poor penetration outcomes in the Dye & Pry process. Today, there is no quantitative control of dye viscosity (and/or temperature), so “low viscosity” is assumed but not verified. This internship project will establish a practical viscosity measurement and control approach to improve confidence and repeatability of Dye & Pry results. Scope: 1. Develop a test plan to measure Dykem red dye viscosity across defined reuse counts 2. Identify and evaluate viscometer options suitable for low-viscosity Newtonian fluids with high sensitivity and minimal mechanical disturbance 3. Define a controlled measurement method (including temperature control/standardization, e.g., 25°C reference) and measurement repeatability checks 4. Correlate viscosity trends to Dye & Pry penetration quality indicators (e.g., penetration success rate / defect reveal quality using existing lab evaluation approach 5. Propose an operational control plan: viscosity acceptance window, reuse limit guidance, storage/handling recommendations, and a simple decision rule for “use vs discard. Supporting Team: Failure Analysis (Dye & Pry process owners / lab operations) Deliverables:</

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. 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. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Role/Responsibilities: Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives. Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters. Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment. Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation. Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity. Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management. Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits. Track and analyze P&L drivers on a daily basis and provide attribution reports. Hedge exposures dynamically using equity, credit, and derivative instruments. Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies. Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution. Requirements : Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred. 3+ years of experience in convertible bond trading with a

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. Strategic leadership & scientific roadmap: Identify fundamental gaps and op

ABOUT CANVAS On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts—our team produces impactful research that will change the way you look at the world. ROLE SUMMARY When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same—from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals. Other Market Intelligence divisions perform quantitative research to explain what is going on in an industry. As a fundamental researcher, your qualitative research will explain why. In this role you will: Become a subject matter expert on an assigned industry Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts, changes in supply/demand dynamics, and emerging competitors, markets, and technologies) and, importantly, why it is happening Synthesize your findings in comprehensive reports that present a view of the industry Gain unparalleled exposure to, and learn from, Compliance approved private company executives across industries, and your colleagues Interact directly with our investment professionals and learn the discretionary investment process WHAT EXCITES YOU Staying current on t

About the Team The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven. About the Role OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: Develop and publish research on techniques for understanding representations of deep networks. Engineer infrastructure for studying model internals at scale. Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter . Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI. Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines. Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. Possess 2+ years of research engineering experience and proficiency in Python or similar languages. Are deeply curious. About OpenA