Quantitative Trader Developer Jobs

We are looking for an experienced and proactive Infrastructure Support Engineer to provide technical support and administration across our cloud and on-prem IT environments. This role combines infrastructure operations, technical support, and platform administration, delivering specialised technical assistance to our company employees, including quantitative researchers, developers, and business teams across the Americas (GMT-3 to GMT-6) or Asia-Pacific (GMT+7 to GMT+9) time zones. The ideal candidate will have hands-on experience with AWS infrastructure, enterprise platforms, and strong analytical and troubleshooting skills. The role requires excellent communication skills and the ability to support both technical and non-technical users in an international environment. WHAT YOU'LL BE DOING: Handle and respond to employee support requests through corporate communication and ticketing platforms Support, maintain, and troubleshoot cloud and on-premises infrastructure services, applications, and enterprise platforms Manage user accounts, access permissions, system configurations, and related administrative tasks Troubleshoot hardware, software, access, and basic connectivity issues including VPN, Wi-Fi, DNS, and related networking components Monitor infrastructure health, performance, and availability Conduct root cause analysis for recurring technical and infrastructure-related issues, and recommend improvements Contribute to automation, integration, and process improvement initiatives Maintain clear and accurate technical documentation, operational procedures, and user guides Work closely with cross-functional teams to design solutions and implement system improvements and upgrades Provide remote support for office and on-premises IT infrastructure, where applicable WHAT WE LOOK FOR IN YOU: Bachelor's degree in Computer Science, Information Technology, or related field At least 5 years of experience in IT Support and Engin

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

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 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 /

Integra FEC is hiring entrepreneurial and quantitatively skilled graduates with a background in economics and mathematics who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to analyze complicated and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Main responsibilities include: Working as a data detective to examine potentially fraudulent patterns Conducting qualitative and quantitative research to identify opportunities to detect fraud and identify fraud detection methods Building, cleaning, compiling and analyzing datasets to find insights and fraud patterns using econometrics, statistics and other forms of analyses Building scripts, algorithms and code to process and analyze large datasets effectively and efficiently Presenting findings to technical and non-technical audiences Job Qualifications: PhD in Economics required, with Finance and Mathematics background a plus Familiarity with Python, SQL, R, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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

About the Opportunity EnergyHub is seeking a Product Marketing Manager to become a customer evangelist, helping us meet our revenue targets by effectively demonstrating the value of our solutions to the market. As a Product Marketing Manager at EnergyHub, you will play a pivotal role in driving success by effectively positioning and promoting our solutions in the utility industry and load flexibility space. This role requires a strong blend of strategic thinking, product knowledge, and marketing expertise. The ideal candidate must be analytical and able to conduct quantitative analyses, but also be good at synthesizing and telling a captivating story to different audiences. Experience managing cross-functional projects is essential. Experience with electric utilities or the energy technology industry is strongly preferred. Main Responsibilities: What you’ll do Become an expert on our customers and the challenges they face around distributed energy resource (DER) adoption and how our solutions solve their grid needs Disseminate and evangelize customer insights across the company Craft compelling messaging and solution-level narratives that align with our company positioning to target utilities Understand and support our Sales, Marketing, Product and Customer Success teams; train them on the problems we solve for our buyers and users of our solutions Lead the creation of compelling and persuasive product marketing collateral, including sales enablement materials, product fact sheets, presentations, website content, and case studies highlighting our solutions. Support the development and execution of go-to-market plans for new launches and features, including sales enablement and promotional activities. Conduct competitive analysis to identify market trends, positioning strategies, and opportunities for differentiation. Utilize insights to inform marketing strategies and messaging. Inform the content roadmap with audience insights. Work with Brand Mar

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations related to financial fraud Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides Anticipated to grow toward managing projects and communicating with clients Job Qualifications Required 3+ years of relevant work experience Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL Background in economic/management consulting or finance Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

GAQ127R143 Databricks is building the future of data and AI and world-class engineering requires world-class talent solutions. We are looking for a strategic, technical Compensation Lead to partner directly with our R&D founders, and Engineering VP leadership. In this role, you won't just execute traditional pay practices; you will design first-principles equity and cash strategies to attract, retain, and motivate the sharpest systems, platform, and AI engineers on the planet. Reporting to the Director of Compensation, you will bridge deep quantitative analysis with high-stakes executive advisory, ensuring our compensation philosophy reinforces an owner mindset across our core technology and product teams. The Impact you will have: Scope of the role • R&D Solutioning & Strategic Advisory (40%): Co-create custom incentive models, specialized technical compensation structures, and high-impact retention frameworks tailored specifically to hyper-competitive R&D skill sets. • Lifecycle Compensation Management (30%): Own the end-to-end execution of merit, refresh equity, and promotion cycles across global engineering cohorts, serving as the primary advisor for strategic executive hires and key retention scenarios. Build and leverage automation and AI solutions to efficiently support complex and nuanced cases. • Enterprise Framework Development (30%): Scale Databricks’ global compensation structure, refining market pricing models, pay-for-performance mechanics, and equity strategies. What you'll bring R&D Compensation Mastery • Technical Domain Depth: Deep understanding of the competitive landscape for core engineering, infrastructure, and AI/ML talent—including aggressive startup equity structures, tech-sector refresh strategies, and specialized software compensation models. • First-Principles Thinking: Ability to look beyond standard survey data to build custom, business-aligned compensation solutions from scratch. • Advanced Analytics: Mastery of Exc

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Your Role Conduct comprehensive and timely reviews of various materials, including but not limited to marketing and other client-facing material, client reports, research papers, webisodes, and social media content. Assess materials across multiple asset classes and investment strategies for compliance with applicable global regulations (e.g., SEC Rule 206(4)-1, FINRA Rule 2210, ESMA, FCA and non-US regulatory regimes) and internal firm policies. Apply expertise in the review of complex presentations, including hypothetical and back-tested performance, reviewing for regulatory compliance. Provide proactive, clear, and solution-oriented guidance to business development and investment professionals regarding compliant advertising and performance reporting practices. Interpret and communicate about relevant regulatory rules and developments, translating them into actionable compliance and business guidance. Maintain relevant industry and regulatory knowledge, including monitoring and providing feedback on relevant rulemaking initiatives, risk alerts and other regulatory matters. Assist with the impl