Senior Quantitative Ux Researcher Jobs

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: The Opportunity The Senior Analyst, Operations Analytics is a cross-functional internal consultant to the business that will work across several business units, with a primary internal customer group, but will also support other functions, as needed. This role is responsible for completing a wide range of quantitative and qualitative analyses to help inform company strategy and run the business more efficiently and effectively. This position will work primarily in support of our Supply Chain, Manufacturing, Warehousing, and Logistics, as well as other enabling functions across the business. What’ll You’ll Work On • Build and maintain analysis, models, or dashboards to support process optimization, forecasting, capacity planning, economic optimization, and performance management processes. • Analyze company data to identify trends, issues, and opportunities for improvement. Support fact-based decision-making and measurement of operational effectiveness (i.e., new process operating as designed) and/or economics (i.e., ROI) of company initiatives. • Evaluate the economic and/or operational impact of new products and/or strategies. Effectively compile and communicate findings to leadership or stakeholders verbally, visually, and in writing. • Perform ad hoc reporting and analysis, as needed. • Support multiple business units and supporting functions in making key strategic decisions. Liaise cross-functionally beyond primary internal customer group; including, but not limited t

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 their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a special focus on Stripe’s security. Projects include, but are not limited to: Leverage internal telemetry and logs to understand and design secure and safe access controls to sensitive data; Develop methods to model, quantify, and ultimately de-risk security-related incidents on Stripe data, assets, and networks; Collaborate across the company with engineering, PMs, and others to better understand, measure, and ultimately detect various malicious attack vectors. You will act as a key strategic data partner to the Security organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe keeps and maintains the highest level of safety and security for critical business assets and customer data. What you'll do Responsibilities Provide senior technical direction to data teams on horizontal technical areas, including detection, modeling, metrics, observability, etc. Assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution. Identify broad company problems and opportunities that can be tackled through data science Work with relevant teams to design and build the quantitative outputs and artifacts that deliver outsized value to our users and our business. Provide data-driven guidance to cross-functional partners on strategy for tracking and p

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

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Junior Software Engineer in our London office , your role will encompass: working on engineering projects together with senior team members training and certification to enhance your skills in software engineering, data science, and data architecture. Qualifications Necessary education and experience Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms. Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code. Data Skills: Experience with SQL for querying relational databases. Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps. Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. Desirable experience Cloud & MLOps Exposure: Basic fam

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Trade Monitoring Analyst will work closely with the firm’s senior management on a variety of tasks, including: Start and supervise automated trading systems for multiple exchanges and venues Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions Build, test and deploy trading monitoring software's to analyze strategy metrics in real time Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions Qualifications: Must-Have Requirements Automated Trading Systems/Trading experience Trading Operations Market Monitoring Live Trade Supervision Trading Infrastructure Risk Management (Trading Context) Strategy Parameter Tuning Microsoft Office Proficiency Preferred Technical Skills Linux Basics Python Trading GUI Handling Ideal candidates: Flexible to work in rotational shift Possess a reliable and disciplined approach to work Strong attention to detail Excellent communication skills and fluency in English for business purposes Strong experience of using end user computing tools like Microsoft office and other equivalent products Bachelor's degree with professional experience in a related role at a stock broking firm Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest emplo

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. We develop strategies that drive awareness, engagement, and usage of OpenAI’s products and platform, helping people and businesses understand and realize the value of AI. The Marketing Insights & Analytics team develops a deep understanding of markets, audiences, behaviors, attitudes, and needs to inform marketing, product, and business decisions. We partner across OpenAI to build foundational audience understanding, shape marketing strategy, inform thought leadership, and measure performance. About the Role As Market Research Lead, ChatGPT you will help shape our Insights & Analytics strategy and set research direction for a major business area or cross-functional initiative. As a senior individual contributor, you will independently define and lead multiple complex research workstreams, connecting audience behavior, perceptions, and feedback to decisions across product, brand, and growth. You will anticipate emerging business questions, bring structure to ambiguous challenges, and translate research into recommendations that influence senior leadership. Alongside delivering hands-on research, you will establish methodological standards, develop foundational research frameworks, and mentor experienced peers. In this role, you will: Set research strategy, priorities, and goals for a major business area, aligning the research agenda with critical decisions and anticipating future needs. Independently define, prioritize, and lead multiple complex quantitative and qualitative research workstreams, balancing business impact, rigor, speed, and resources. Serve as a strategic partner to brand, product marketing, creative, product, and other teams, helping shape business strategy and goals through insights. Address challenges such as reaching new audiences, evolving our brand, positioning our pro

Overview: Guidepoint's Market Research Team is seeking a leader for its Survey Programming team, to help centralize, standardize, and grow a function dedicated to programming and coding questionnaires into web-based platforms, and conducting QA on programmed survey work. This position would be expected to work hours aligned with US-based colleagues on the East Coast. This can be a hybrid position out of one of our offices in India (Mumbai, Pune,Gurugram) or remote. What You’ll Do: Oversee a team of 6 survey programmers of differing experience levels, setting standards for quality assurance and timely delivery of questionnaires programmed into Qualtrics Coordinate with other quantitative survey operational team leads (fieldwork, data automation) and client service staff/project managers to ensure effective cross-functional collaboration Serve as a strategic lead for survey programming within the market research organization, helping to design processes, systems, and best practice documentation for survey programming at Guidepoint Train and mentor junior staff on best practices for survey programming and coding, including improving efficiency in translating spec documents to final survey designs, effectively testing routing and randomization for accuracy, and using JavaScript and other custom web design languages to create custom layouts and presentations to meet client needs Serve as a senior voice for internal communication, stepping in to resolve project issues between team members and operational staff, provide leadership on kickoffs for complex or sustained engagements, and serve as an advisor on sales or internal kick-off calls where demonstrated programming experience is needed Consult as needed with survey project teams on survey design, making best-practice recommendations on question type or structure that will best work within our systems and reduce respondent burden, and flagging any designs that may be particularly time-consuming or challeng

SLSQ227R805 The Team The Partner Strategy & Operations team supports Databricks' robust ecosystem of Cloud, SI and ISV, working with the Databricks Partnerships team. Our team is laser focused on driving operational scale in an extremely high-growth environment. We empower our stakeholders and senior leadership with the insights, tools and decision criteria to inform proactive, effective, and data-driven programmatic strategies. The Role You will be in a critical and visible position, playing a key role in scaling the Partnerships team's strategy. In this role, you will combine analytical insight, strong business acumen, and robust cross-functional partnerships with leaders across the company while partnering with our Partnerships VP to set a strategy and medium/long term goals for the business. You will then lead the execution of many of these initiatives, building scalable processes, building consensus, and supporting all of it with proactive data-driven insights and analysis along the way. You will work with our Partnerships, Sales, Product, Finance, Data, Legal, Commercial, and other GTM teams. You will report to the Director of Partner Strategy and Operations. The impact you will have: Serve as a strategic business partner to one or more Partner VPs Lead executive analyses, strategies, and deliverables (e.g., board materials, QBR) Define and manage high impact x-functional programs end to end Own the operating cadence and provide performance visibility against targets Inform and enhance partner strategy and programs with voice of the field and quantitative analysis Generate deep dives into performance trends with action-oriented outcomes Guide annual GTM planning process (FY and long-range modeling, KPI setting, HC planning) What we look for: Relevant experience: 7+ years of strategy & operations experience (eg. Enterprise SaaS experience, top tier strategy consulting, investment banking, business operations) Business Ownership: Leadership and con

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the leader of our new Hedge Funds sales team within Enterprise FSI, you will build and lead the team that brings transformational AI to the world’s leading hedge funds - multi-strategy platforms, quantitative and systematic firms, discretionary long/short equity, global macro, and credit funds. These are some of the most technically sophisticated and competitive organizations in financial services, rethinking how they generate ideas, conduct research, build and test strategies, manage risk, and run their operations - and they’re looking for a partner they trust to take frontier AI from promising experiments into production at the core of their investment process. You’ll own a focused portfolio of top-tier funds at very different stages of AI adoption, from firms already running Claude across research and engineering to those just beginning their journey. You will lead Enterprise and Strategic Account Executives, design the coverage and territory model, and build the repeatable, hedge-fund-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, protection of proprietary strategies and data, security and compliance rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. Buyers move fast, decision-making is concentrated among a small group of senior leaders, and you’ll shape strategy and operating rhythm while staying personally engaged with founders, CIOs, CTOs, and heads of research on the pursuits that matter most. This is a rare opportunity to build a team from the ground up,

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

CX Transformation Specialist - Product & Experience Location: London (Hybrid) | Practice Area: Product & Experience | Type: Permanent Help leading financial institutions reimagine customer experiences through strategy, innovation, AI and transformation. The Role As a CX Transformation Specialist within Capco’s Product & Experience practice, you will help clients transform how they acquire, engage, serve and retain customers across the end-to-end customer lifecycle. Working alongside senior client stakeholders and multidisciplinary Capco teams, you’ll design customer-centric strategies, operating models and experiences that deliver measurable business and customer outcomes. From defining customer strategies and go-to-market approaches for new propositions to redesigning customer journeys and enabling AI-powered experiences, you’ll help shape the future of customer experience across financial services. What You’ll Do Lead or support CX transformation engagements across banking, insurance, wealth management, capital markets, and payments. Design customer strategies, service propositions, go-to-market approaches and future-state operating models that improve customer and business outcomes. Analyse customer journeys, pain points and operational processes to identify opportunities for transformation and optimisation. Conduct market, competitor and customer research to identify emerging trends, unmet customer needs and growth opportunities, translating insights into actionable recommendations. Synthesise qualitative and quantitative research into compelling client presentations, business cases and executive-level recommendations that support strategic decision-making. Apply customer insights, human-centred design and experimentation techniques to develop, test and refine new products, propositions, services and business models. Define business requi

About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role With continued growth across our business, we are actively seeking to have a new member join our team. This is an exciting role to join an existing group of skilled development and investment professionals, enhancing the team capabilities and becoming an integral part of a rapidly growing business. We are searching for someone who has excellent quantitative and analytical skills, is comfortable building financial models and has experience with communicating with internal and external stakeholders. You will be a highly valued and trusted member of our ambitious and hardworking team, in a business that continues to scale to new heights. Main Responsibilities / Take responsibility for development and management of financial models and valuation analysis in support of potential transactions and investment opportunities / Support in all aspects of financing processes included due diligence, project management, data room management, financial analysis, legal negotiations and preparation of materials / Work closely with the Development and Finance teams to perform detailed financial analysis on new developments as well as existing portfolio assets / Production of presentation material for senior management, board members, investors, lenders and joint venture partners / Assist with commercial negotiation of legal contracts for transactions / Research and analysis of market trends and sector / asset valuations / Support in business strategy and individual project delivery /

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

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

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer focused on quantitative investment and trading firms, you will partner directly with researchers, engineers and technical leaders to apply OpenAI’s models and Codex to their research and development workflows. You will combine an understanding of how quants work with hands-on technical skills, helping customers identify valuable opportunities, evaluate approaches and take successful experiments into production. You will work with both practitioners and senior leaders, connecting advances in AI to the problems that matter most to their firms. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. 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: Work directly with quantitative in