Quantitative Research Intern Jobs

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. The Consumer Insights Manager will be an embedded partner to Hasbro’s business portfolios within the Toys & Games organization. You will be responsible for completing global quantitative and qualitative research projects and analyzing data. You will translate your findings into actionable insights and recommendations that help build world-class brands, products, and marketing programs. The person in this position is driven by a deep passion for Hasbro's brands and curiosity about consumer needs and motivations. They fearlessly share consumer truths, trends, and insights with partner teams. Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday-Thursday at Hasbro's new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday-Thursday at Hasbro's HQ in Pawtucket, RI or at Hasbro's temporary location in Boston, MA A Day in the Life as a Consumer Insights Manager: Develop a strong understanding of your portfolio's consumer, category, brands, and play patterns to support your growth as a voice of the consumer. Contribute to the team's ongoing monitoring of cultural and category trends, competitive landscape shifts, and emerging consumer behaviors — synthesizing and sharing relevant findings with cross-functional partners to inform innovation and go-to-market decisions. Manage multiple projects simultaneously across all phases of execution — briefing, project design, quantitative and qualitative input development, data collection, analysis, and reporting — with

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are seeking a Quantitative Risk Analysis, Associate II to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with developing deep understanding of data and current code, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for different enterprise models for user acceptance testing and provide feedback. Your Impact: Implement baseline processes and reports monthly and interpret results as it relates to credit risk management. Follow appropriate controls and standards established to maintain and build documentation for processes & reports. Participate in performing ad-hoc analytics in support of credit policy. Cleanse, manipulate and analyze large datasets using statistical software. Collaborate with team members and interact across organizational lines to meet business objectives. Qualifications: Bachelor's Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field, advanced Degree is a plus Minimum 1-3 years of releva

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. About the team: The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. All team members are based in the London office five days a week to maximize communication and interaction. Role and Responsibilities: An ideal growth role to suit a developer looking for additional responsibilities and independence. Responsibilities may include: • Building components for all aspects of live trading and research environments. • Driving automation and robustness of our processes. • Developing robust data checking and handling procedures. • Monitoring and troubleshooting any issues that should arise. • Shared responsibility for timely and correct operation of trading systems. Requirements: • Bachelor’s degree or equivalent in computer science or other STEM discipline • 2+ years commercial experience with Python and its data science libraries on Linux. • Pragmatic balance between attention to detail and delivery focus. • Ability to work with ambiguous requirements. • Self-driven, owning problems while knowing when to seek advice. • Knowledge of finance and trading systems a plus. • Experience with a systems programming language (

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: A new Cubist portfolio management team specializing in the systematic trading of equities is looking for a Quant Researcher whose core focus will be working on mid-frequency alpha strategies. Joining the team will provide a unique opportunity to be involved with the early stages of a product launch and develop within a growing team. Responsibilities: Perform rigorous and innovative research to discover systematic anomalies in the equities market End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation Identify and evaluate new datasets for stock return prediction Maintain and improve portfolio trading in a production environment Contribute to the analysis framework for scalable research Requirements: MS or PhD in a quantitative discipline 0-2 years of professional work experience A background in financial markets is not necessary, but an interest in the field is essential Proven expertise in Python and handling large datasets Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus Highly motivated, curious, and critical thinker Collaborative mindset with strong independent research abilities Commitment to the highest ethical standards

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for enterprise Collateral models for user acceptance testing and provide feedback. Your Impact: Manage a team of three to four people Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management Follow appropriate controls and standards established to maintain and document for processes & reports. Participate in performing ad-hoc analytics in support of collateral policy Cleanse, manipulate and analyze large datasets using statistical software Collaborate with team members and interact across organizational lines to meet business objectives Qualifications: Degree in

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: Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems . Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute. We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play. Responsibilities: Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) Design and implement rigorous quantitative benchmarks for large scale agentic tasks Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: Have experience with large-scale RL on language models Have experience training multi-agent systems Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface. Have good communication skills and an interest in working with other researchers on difficult tasks Have a passion for making powerful technology safe and societally beneficial Are excited for a mission-driven org with fast-paced, impactful work Representative projects: Design and build reinforcement learning environments to train groups of

Who are we: Graviton Research Capital is one of the largest quantitative trading firms emerging out of APAC, with a strong footprint across 40+ global exchanges and a rapidly growing presence across Europe and the USA. We’re privately funded, long-term focused, and deeply invested in building high-performance teams that operate at scale in some of the most competitive markets globally. Role Overview: Managing Data Centre facility by interacting with different vendors Support the installation, monitoring, maintenance, and overall upkeep infrastructure and systems Liaising with third parties to maintain communication lines and data center infrastructure Monitor technical progress, track project deliverables, and provide regular status updates. Handle equipment procurement, returns, shipments, and overall inventory management. Coordinate with local and remote teams to troubleshoot technical issues and ensure stable connectivity and operations. Key Skill Requirements: 2-5 years of working experience in a Data Center environment (racking & stacking gear, cable management) Experience working for an exchange- NSE/BSE/MCX Deep understanding of data center installation and cabling standards Knowledge of data center ecosystem (cooling, electrical, networking, and structured cabling) Open to provide after-hours support as needed (must) Ability to work independently, with little direct management. An understanding of networking and systems concepts (circuits, IP routing, consoles, networking)

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarflare NICs, Hardware timestamping. Configure and troubleshoot PTP and clock synchronization infrastructure. Perform server and network equipment installation in exchange and third-party data centres. Manage rack layout, patching, cable optimization, optics, DACs, cross-connects, and inventory. Coordinate network changes with exchanges, telecom providers, brokers, vendors, and data-centre teams. Plan and execute production changes during approved maintenance windows. Perform pre-change validation, c

About Interbrand Interbrand understands what it takes today to build the world’s most iconic brands. To support our clients in an ever more complex and fascinating world, we have renewed our commitment to both common global standards and greater empowerment, experimentation and entrepreneurialism. Interbrand is its people. We are a global team of highly diverse thinkers, makers and collaborators. We are proud of our heritage and often regarded as the university of branding. Over the past four decades, we have pioneered iconic work and invented many of the brand building tools that are now commonplace. In collaboration with many of the world’s leading brands, we are pioneering the future of brand building. In a world where people’s expectations are moving faster than businesses, we give our clients the confidence to make Iconic Moves that create desire and utility, reshape the competitive landscape and drive extraordinary results. The Interbrand Best Global Brands study/rankings are resources to our clients and the industry, providing proprietary data and insight for our role as client partner and commentator. We have published 18 books on brands and are often the reference point for university curriculum and professional associations. Today, through our own Academy, we aim to be the most impactful learning environment in the marketing world. Our Behaviours Our culture is informed by a set of behaviours we co-created as a business. Our behaviours give us space to experiment, permission to speak out, and a model of leadership that anyone in the business can adopt. Our behaviours are Lead with love, Be Brave, Listen First and Make it happen. We are proud of our behaviours. They make us, us. Role: Interbrand Madrid office is looking for an Analyst/ Junior Consultant to join the team. The candidate will support the consulting team in various kinds of quantitative analyses, such as competitive benchmarking, marketing research and

About Interbrand Interbrand understands what it takes today to build the world’s most iconic brands. To support our clients in an ever more complex and fascinating world, we have renewed our commitment to both common global standards and greater empowerment, experimentation and entrepreneurialism. Interbrand is its people. We are a global team of highly diverse thinkers, makers and collaborators. We are proud of our heritage and often regarded as the university of branding. Over the past four decades, we have pioneered iconic work and invented many of the brand building tools that are now commonplace. In collaboration with many of the world’s leading brands, we are pioneering the future of brand building. In a world where people’s expectations are moving faster than businesses, we give our clients the confidence to make Iconic Moves that create desire and utility, reshape the competitive landscape and drive extraordinary results. The Interbrand Best Global Brands study/rankings are resources to our clients and the industry, providing proprietary data and insight for our role as client partner and commentator. We have published 18 books on brands and are often the reference point for university curriculum and professional associations. Today, through our own Academy, we aim to be the most impactful learning environment in the marketing world. Our Behaviours Our culture is informed by a set of behaviours we co-created as a business. Our behaviours give us space to experiment, permission to speak out, and a model of leadership that anyone in the business can adopt. Our behaviours are Lead with love, Be Brave, Listen First and Make it happen. We are proud of our behaviours. They make us, us. Role: Interbrand Madrid office is looking for an Analyst to join the team. The candidate will support the consulting team in various kinds of quantitative analyses, such as competitive benchmarking, marketing research and business case model

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

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Zynga Consumer Insights is looking for an experienced consumer research professional to join our team as a Consumer Insights Manager. Reporting to the Director of Consumer Insights, you will be responsible for research projects that deliver insights regarding Zynga’s portfolio as well as the overall gaming marketplace. You will be independently managing a variety of projects, qualitative and quantitative, across marketing and game design initiatives. You will be hands-on, from start to finish, and your work will help drive innovations and improvements for both live games and new games in development. A successful candidate should have extensive experience designing and running primary research, analyzing and visualizing data, and socializing information across an organization.

Role/Responsibilities: We are seeking a quantitative researcher to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing. The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may include: Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production Requirements: Bachelor’s, Master’s or PhD degree in computer science or other quantitative discipline Proficient in Python and general software engineering principles (github, testing, dev workflow) Strong understanding of machine learning and statistics Prior research experience preferred Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred Data science stack familiarity preferred An interest in financial markets Great attitude A collaborative mindset Commitment to the highest ethical standards About Point72: Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience 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 has worked with government agencies and private entities to analyze many complex 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: Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs 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 detect where fraud occurs Summarize and present findings to technical and non-technical audiences Job Qualifications: Required Background in statistics, mathematics, engineering, computer science, data science, 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 2+ years of relevant full-time experience. Excellent skills in R, Python, and/or SQL Knowledge of financial concepts and principles 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.

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