Experienced Quantitative Researcher at Trexquant | New York City

At Trexquant, a cutting-edge systematic hedge fund, we leverage a multitude of statistical algorithms to navigate global equity, futures, and other markets. Our approach harnesses extensive datasets to create comprehensive feature sets, utilizing advanced machine learning techniques to unearth trading signals and integrate them into market-neutral portfolios. We are actively seeking talented individuals from diverse backgrounds, including data science, physics, engineering, economics, and programming, to pioneer the next wave of machine learning strategies that adeptly forecast the movements of liquid financial assets.As a Quantitative Researcher, you will engage in the development of market-neutral signals, meticulously parse and analyze large datasets, and collaborate with the Data and Strategy Research team to construct a variety of predictive models. While we welcome expertise across all asset classes, our immediate focus lies on equities, futures, commodities, and event-driven research.

At Noise Trading, we redefine market creation by tapping into the nuances of culture and social attention. Our innovative platform establishes the world's first financial contracts based on attention, ensuring perpetual liquidity, narrowing spreads, and fostering deep, efficient markets that remain adaptable to the ever-evolving conversation landscape. By succeeding in our mission, we aspire to become the backbone of liquid attention.Our dynamic team operates from SoHo, New York City, leveraging advanced technology and creative strategies to lead in this new frontier.Key ResponsibilitiesManage and enhance our proprietary trading systems to secure consistent and scalable returns.Implement rigorous risk-management strategies: adjust parameters, monitor for anomalies, and enforce necessary controls.Analyze real-time market data, adapt trading strategies as needed, and collaborate closely with our technology teams.Prepare and present detailed trading reports and post-trade analyses.Recognize system limitations, propose innovative enhancements, and devise next-generation trading strategies.QualificationsBachelor’s degree in a STEM field (e.g., Mathematics, Engineering, Computer Science); we encourage recent graduates to apply.Demonstrated analytical skills, comfort with ambiguity, and a methodical approach to problem-solving.Familiarity with programming or scripting languages such as Python, C++, or equivalent.Outstanding communication abilities, a quick learner, and strong self-management skills.Preferred: Experience in competitive strategy environments like gaming, poker, or chess.We offer a competitive full-time salary range of $108,000-$120,000, plus performance bonuses. This complies with New York City's Pay Transparency Law. Full-time employees at Noise Trading also qualify for additional compensation elements, including equity and benefits based on the role.

Voleon Securities is seeking a highly skilled and experienced Senior Member of Research Staff to join our dynamic team in New York City. In this pivotal role, you will leverage advanced quantitative techniques and cutting-edge data analysis to drive our research initiatives forward. You will collaborate with a talented group of professionals to develop innovative algorithms and models that enhance our trading strategies and improve overall performance.As a Senior Member of Research Staff, you will be expected to mentor junior researchers, contribute to the intellectual growth of the team, and lead critical research projects. Your expertise will play a crucial role in shaping our research direction and ensuring the success of our strategic objectives.

Vola Dynamics stands at the forefront of software innovation and research in advanced options analytics. Our renowned volatility fitting tools and high-speed option pricing engines set the benchmark for industry standards, empowering leading hedge funds, proprietary trading firms, market makers, and global banks to make informed decisions.As a Quantitative Researcher, you will delve into pioneering challenges in volatility modeling and options valuation, covering both vanilla and exotic options across diverse asset classes. You will implement your innovative solutions using a state-of-the-art C++ and Python library relied upon by the most elite market participants. Joining a rapidly expanding team, your contributions will yield immediate and significant impacts.This role represents one of the most exhilarating opportunities in the field of quantitative finance today.

Antimetal is on the lookout for a Research Engineer to enhance the intelligent systems that drive our innovative solutions. In this role, you'll be tasked with prototyping cutting-edge methodologies, conducting experiments, and overseeing the transition from research to real-world application. Collaboration with our platform and product teams will be key as you help shape the capabilities of our AI agents and contribute to the development of evaluation methodologies.Modeling infrastructure and its observability is a challenging domain. The telemetry we handle is often high-volume, chaotic, and transient, with ground truth that is often only approximate. Our goal is to develop AI agents capable of understanding this intricacy and reasoning about operational dynamics, including implementing code and configuration modifications.Research Focus AreasInfrastructure Intelligence: Developing models to comprehend infrastructure behaviors and the underlying reasons, such as anomaly detection, issue forecasting, telemetry analysis across logs, metrics, events, and traces, and understanding causal relationships. These foundational capabilities enable our agents to reason effectively about infrastructure.Autonomous Agents: Designing long-running, parallel agents that can identify, diagnose, and remediate infrastructure problems, including the ability to fix code and configuration issues. Enhancements in multi-step reasoning, orchestration, context management, memory, and reinforcement learning will be essential for this role.Evaluation: Ensuring the performance of our agents and guiding improvements by collaborating with the platform team to establish evaluation methodologies, generate synthetic data, analyze past incidents, and model the domain.About AntimetalAntimetal aims to redefine the future of infrastructure management. Our mission is to create a platform that identifies, resolves, and prevents issues, allowing engineers to focus on what they excel at: developing exceptional products.Your Responsibilities:Experiment, Evaluate, Iterate, Ship: Conduct experiments across our research domains, analyze outcomes, validate effective methods, and transition successful strategies into production.Build Evaluation Infrastructure: Work alongside the platform team to establish live and offline evaluation systems, benchmarks, and synthetic data generation tools that facilitate continuous improvement.

DailyPay is reshaping payroll for employees across the United States through an on-demand pay platform. With headquarters in New York City and operations extending to Belfast, the company focuses on supporting employee motivation and financial well-being. More information is available at DailyPay's Press Center. The Senior Product Researcher will play a central role in building DailyPay’s flagship consumer financial product, aimed at helping millions of workers manage their earned wages. This position works within a collaborative product strategy team and serves as the primary advocate for user perspectives across product, design, engineering, and marketing groups. The role emphasizes applying user-centered design principles at scale to deliver meaningful financial experiences. What you will do Champion the needs and perspectives of DailyPay users throughout product, design, engineering, and marketing initiatives. Design and conduct qualitative research such as in-depth interviews, ethnographic studies, and diary studies. Plan and execute quantitative research to complement or challenge qualitative insights. Spot new product opportunities by analyzing user needs, market trends, and behavioral data, with a strong focus on mobile interfaces. Create personas, behavioral archetypes, journey maps, and service blueprints to foster team understanding and highlight key opportunities. Work with product teams to reframe concepts as testable hypotheses. Prototype and organize concept testing with users, targeting essential product flows. Lead workshops to synthesize research findings and develop creative solutions. Participate in user-centered design sprints with cross-functional partners. What we look for Curiosity and an entrepreneurial approach to problem solving. Expertise in a variety of research methods, both qualitative and quantitative. Strong understanding of user behavior and the ability to turn insights into actionable product improvements. Experience identifying and implementing enhancements to consumer financial products.

About Bridgewater AssociatesBridgewater Associates is a leading asset management firm dedicated to providing innovative insights and collaboration for the most discerning global institutional investors.Our investment approach is grounded in a relentless desire to comprehend the intricacies of global markets and economies, utilizing cutting-edge technology to validate and implement age-old, universal investment principles.Founded in 1975, we pride ourselves on a culture of independent thought and a steadfast commitment to excellence. By nurturing an environment of openness, transparency, and inclusivity, we aim to decipher the most complex issues in investment strategy, management, and corporate culture.For more information about Bridgewater, please visit our website.

About N1:N1 stands at the forefront of innovation as the first hyper-performant and horizontally scalable blockchain network, crafted to facilitate trustless computing on a global scale. Our team is a diverse blend of experts from prestigious institutions such as Harvard, Carnegie Mellon University, and DFINITY, and is supported by renowned investors including Founders Fund and Kraken Ventures.Position Overview:We invite you to join N1 as a Research Intern, where you'll play a vital role in shaping the future of decentralized computing. This position offers the opportunity to specialize in either market and product research or technical research, depending on your strengths and interests. Market-focused interns will analyze market trends, competitor strategies, and industry landscapes to empower data-driven decisions. Meanwhile, technical research interns will delve into advanced distributed system design and engage in a targeted research project tailored to their interests.This internship is an exceptional chance to gain practical experience in blockchain research, hone your analytical capabilities, and significantly contribute to N1’s mission of pioneering trustless computing.

Why Join Rogo?At Rogo, we are pioneering the development of Wall Street's first authentic AI analyst. Our mission is to empower finance professionals at leading investment banks, private equity firms, and investment organizations with AI that offers unmatched speed, precision, and insight. We are not merely enhancing financial workflows; we are fundamentally transforming them.This is a rare opportunity to become part of a groundbreaking company at a pivotal moment. With a rapidly expanding client base, proven product-market fit, and support from top-tier investors, we are scaling swiftly and creating a new frontier in enterprise AI.Our team is intelligent, driven, and passionately committed to our mission. We work with vigor, take ownership of complex challenges, and maintain a relentless focus on our users. If you excel in a fast-paced environment, demand excellence, and wish to contribute to shaping the future of finance, we welcome you to join us.Your ResponsibilitiesAs an AI Researcher at Rogo, you will be at the forefront of translating cutting-edge technological advancements into revolutionary financial products. You will utilize the latest innovations in Large Language Models (LLMs) and Reinforcement Learning, technologies that we believe will fundamentally transform knowledge work, placing you at the center of this exciting evolution.Design and implement end-to-end learned systems that integrate the capabilities of LLMs and Reinforcement Learning to automate comprehensive financial workflows.Develop large-scale infrastructure for assessing answer and response quality, and feed this data back into the learning systems as a reward mechanism.Collaborate closely with product managers and engineers to ensure that every solution you create delivers genuine user value and addresses real needs.Elevate standards for code quality, reliability, and product velocity. Together, you will challenge yourself and your colleagues to grow both technically and interpersonally.QualificationsBachelor's degree in Computer Science or a related field.3-6 years of experience in training large language models or post-training (or equivalent PhD experience).Proficient in writing LLM training code using PyTorch or JAX.Experience with a strongly typed programming language (e.g., Rust, C++, Java).Strong programming skills and a solid foundation in Computer Science principles.

Hello, I'm Brian, the Co-Founder of Egra. We have recently secured $5.5M in funding to develop foundational models for brain signals, and we are on the hunt for our inaugural research engineer.From day one, you will possess full ownership of your projects. Forget about lengthy onboarding processes, waiting for approvals, or navigating through bureaucracies. Here, you will collaborate directly with the founders on complex technical challenges, armed with the resources necessary to address them. You will define the architecture of our infrastructure, make pivotal engineering choices, and construct the systems that drive our research forward. If you excel in an environment that values high agency and wish for your contributions to directly influence the company's direction, this is an exceptional opportunity.Key ResponsibilitiesEEG, or electrical activity of the brain recorded from the scalp, is one of the most challenging real-world signal modalities in machine learning due to its low signal-to-noise ratio, significant subject variability, and inconsistencies across devices. Most shy away from these challenges.As our founding research engineer, you will oversee the systems that facilitate our research. Specific projects you will manage include:Creating versioned and reproducible preprocessing pipelines for EEG data from various sources, including device-specific normalization, channel mapping across montages, artifact detection, and signal quality assessments. Your systems will be able to instantly respond to queries like, "Which preprocessing version generated this result?"Designing infrastructure for experiment tracking and training that allows us to conduct numerous pretraining experiments concurrently without losing track of changes in hyperparameters, data splits, preprocessing versions, and model checkpoints, ensuring everything is linked and reproducible.Developing a data ingestion system capable of assimilating various EEG formats (EDF, BDF, BIDS, proprietary device exports) and normalizing them into a clean, internal representation.Enhancing training pipelines for optimal throughput on noisy, variable-length signal data using mixed precision, intelligent batching across different recording lengths, and efficient data loading for datasets that don't conform to standard loaders.Our VisionWe are aspiring to create a world where thought serves as an interface.Imagine composing a message silently as it types itself. Or navigating an AR display without any physical interaction. Our software aims to adapt to your cognitive state in real time, establishing a universal interface between human thought and digital interaction.

Who We Are:At Percepta, our mission is to revolutionize critical sectors through applied AI. We believe in leveraging cutting-edge technology to enhance industries that are foundational to our world, including healthcare, manufacturing, and energy. Our approach involves closely collaborating with industry-leading clients to facilitate AI transformation. Our strengths include:Expertise in engineering, product development, and research deployed at the forefrontMosaic, our proprietary toolkit designed for the swift implementation of intelligent workflowsStrategic alliances with renowned organizations such as Anthropic, McKinsey, AWS, and others within the General Catalyst portfolioOur rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers dedicated to translating the potential of AI into tangible improvements in everyday life.Percepta proudly operates as a direct partnership with General Catalyst, a global leader in transformation and investment.About the Role:As an Embedded Research Engineer/Scientist at Percepta, you will push the boundaries of AI research while collaborating closely with clients to create significant real-world impact. Your work will encompass post-training reinforcement learning, agentic modeling, and specialized architectures, with an emphasis on translating research advancements into production systems that revolutionize operations in crucial sectors.In contrast to conventional research roles, you will be integrated within client teams, gaining insights into business challenges, formulating research strategies that meet actual needs, and rapidly iterating based on field feedback. You will collaborate with our Embedded Product Managers, Research Product Managers, and Applied AI Engineers to ensure your research yields measurable value and is effectively deployed into active production.What You'll Do:Engage directly with clients to pinpoint high-impact research challenges that align frontier AI capabilities with critical business demands.Develop and implement research strategies focusing on LLM post-training, reinforcement learning, agentic modeling, and tailored model development that address client-specific issues.Create prototypes and scale training pipelines, experimenting with model architectures, optimization techniques, and post-training methodologies while quickly adapting based on client feedback.Conduct extensive customer evaluations that clearly demonstrate business value and foster AI adoption.

Join the dynamic team at the City of New York as a Scheduler, where you will play a vital role in organizing schedules and ensuring the efficient operation of city services. As a key player, you will collaborate with various departments to coordinate appointments, manage resources, and facilitate communication across teams.Your organizational skills will be paramount in maintaining streamlined operations, and your attention to detail will help to ensure that all scheduling needs are met effectively.

The OpportunityAt doji, we are revolutionizing the fashion shopping experience through the use of AI avatars. Our focus is on developing innovative diffusion models and crafting unique, personalized interfaces that enhance user engagement.Based in the vibrant heart of New York City, we are a passionate team of creative innovators with a unique blend of taste and extensive AI knowledge. Our backgrounds include launching successful consumer products at renowned companies like Apple, DeepMind, Meta, and emerging startups. Supported by investors from OpenAI, Cursor, and SKIMS, we stand at the crossroads of AI, technology, and culture.The RoleWe are in search of talented Research Engineers to play a pivotal role in advancing our avatar and virtual try-on models. This position requires in-person collaboration at our NYC office.As a Research Engineer, your responsibilities will include:Developing state-of-the-art generative AI features for our productsConstructing data pipelines to integrate large-scale image and video datasets into model trainingEnhancing model performance based on user feedback and preference tuningOptimizing virtual try-on experiences for various body types, clothing styles, and aesthetic preferencesCollaborating within a shared codebase while maintaining high coding standardsCreating cutting-edge personalized try-on solutions in video and 3D formatsWorking closely with our founders to develop industry-leading technologiesYou are an ideal candidate if you:Possess hands-on experience in training and fine-tuning diffusion models (a must-have)Are knowledgeable in implementing and optimizing diffusion model training pipelinesHave a strong passion for craftsmanship and creating groundbreaking experiencesThrive in dynamic, fast-paced environments (such as startups) or have been a high-performing individual contributor in academia or open-source projectsAre self-motivated, proactive, and quick to learn new concepts deeplyHave experience implementing machine learning papers from scratch using PyTorch or JAXGet excited about exploring new machine learning methodologies and read academic papers for enjoymentPossess problem-solving instincts to navigate challenges effectivelyHave a genuine interest in fashion, avatars, or creative expression

About JuniorAt Junior, we are at the forefront of developing innovative LLM-powered tools designed to enhance the investment research experience for private market investors. Our esteemed clientele includes some of the world's leading private equity and consulting firms, responsible for managing billions in investments annually. As a profitable and bootstrapped company, we boast a dynamic team of 17 members operating out of London and New York City.Discover more about our mission and values here. Role DescriptionAs our inaugural NLP/ML hire, you will have the exceptional chance to:Transform product and business requirements into applied ML/NLP solutions, generating innovative research synthesis concepts and validating their business impact through rapid prototyping.Design and enhance retrieval, search, and ranking algorithms by integrating semantic embeddings, behavioral signals, and structured database queries, while also creating custom reranking models.Fine-tune SLMs/LLMs for tasks requiring high accuracy and low latency such as classification, query rewriting, summarization, and personalization.Utilize advanced alignment and reliability methodologies (e.g., DPO, fine-tuning strategies, evaluation-driven iteration) to elevate user experience and trust.Experiment with summarization and synthesis techniques to convert extensive sets of unstructured interview notes into actionable insights.Engage in product decisions, direction, and prioritization.Influence our engineering culture.With over 20 enterprise clients already onboard and tens of thousands of interactions on our platform, there is ample opportunity for data enhancement and innovation. About YouWe seek product-oriented ML engineers who:Are based in NYC.Possess a solid background as an NLP/ML researcher with expertise in RAG, LLMs, and Generative AI pipelines.Have a proven track record in building production-grade ML systems, including search, information retrieval, and structured outputs.Exhibit excellent communication skills and are eager for a client-facing role.

Join the vibrant legal team at the City of New York as a Paralegal. In this crucial role, you will support attorneys in various legal matters, conduct research, and prepare documents to ensure the smooth functioning of legal processes.

Join the vibrant team at the City of New York as a College Aide, where you'll gain invaluable experience and contribute to city initiatives. This role is designed for students looking to enhance their skills while working in a dynamic urban environment.

About EliseAIEliseAI is dedicated to transforming the critical sectors of housing and healthcare. We recognize that securing a home and accessing quality healthcare are essential yet often challenging tasks. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, reduce costs, and significantly improve user experiences.Housing: Our platform simplifies the processes for renters—making apartment tours, lease signings, maintenance requests, and communication with property teams effortlessly manageable, all from a centralized hub.Healthcare: We streamline appointment scheduling, intake forms, and patient-provider communication, allowing all parties to prioritize health over administrative burdens.At EliseAI, organizations can decrease manual workloads, enhance accessibility, and create a seamless experience across vital services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to further advance our mission.About The RoleWe are in search of exceptional Machine Learning experts to join our dynamic research team. Ideal candidates will possess strong mathematical and quantitative backgrounds, advanced programming skills, and impressive academic credentials, including but not limited to mathematicians, theoretical physicists, and computer scientists, all with a passion for applying their expertise to tackle real-world problems.As a Senior Research Scientist, you will explore cutting-edge challenges in machine learning and large language models, develop predictive algorithms to enhance our AI capabilities, and conduct systematic analyses of extensive datasets. You will lead comprehensive research initiatives aimed at advancing EliseAI's core models and play a pivotal role in shaping our research agenda. If you are eager to leverage your academic experience in a fast-paced startup setting, we invite you to apply.Key ResponsibilitiesIdentify pressing questions in tenant engagement, conversational AI, and LLM safety; convert them into structured projects.Design and execute experiments, develop prototypes, and manage large-scale data analysis.

Kepler: The AI you can trust and verify.Every AI tool has inherent flaws: the model interacts with data, leading to inaccuracies—be it fabricating sources or providing inconsistent answers. For those making crucial million-dollar decisions, this isn’t just a flaw; it's a dealbreaker.At Kepler, we have engineered an architecture that makes hallucination structurally impossible. Our AI interprets your intent while deterministic code retrieves precise figures from source documents. The model never generates arbitrary numbers, ensuring every output can be traced back to a filing, a page, or a line item, with every calculation clearly showing its formula. This guarantees defensibility in all answers.In production, we handle over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets, trusted by firms that can't afford to be wrong.Our architecture is domain-independent, starting with finance where the pain points are most acute, and extending to healthcare, legal, and insurance sectors. We’re not just creating a finance product; we're building the verification layer for the entire AI ecosystem.Founded by Vinoo Ganesh (7 years at Palantir, former Head of Business Engineering at Citadel) and Dr. John McRaven (11 years at Palantir, creator of the analytics engine behind $100M+ contracts with BP and Airbus, Ph.D. in Physics). We are backed by the founders of OpenAI, Facebook AI Research, MotherDuck, dbt, and Outerbounds.The RoleAs the Head of AI Research, you will set the research agenda to ensure AI is trustworthy for enterprise decision-making. At Kepler, we’ve tackled hallucination not by enhancing model intelligence but by designing systems where such issues cannot occur. AI interprets intent, and code retrieves data, linked through a semantic layer. Every output is directly traced to its source.We are seeking an innovative leader to advance the boundaries of what is achievable within this architecture.You will spearhead research in agentic systems, memory architectures, retrieval techniques, and evaluation frameworks. You will have access to unique financial data, including structured filings, earnings transcripts, market feeds, research reports, and live audio—all normalized with full provenance. This isn't another lab creating demos; your contributions will directly impact production, empowering financial professionals who make high-stakes decisions.This position is perfect for researchers eager to develop AI systems that operate effectively in high-stakes environments, where every answer is substantiated and every insight can be traced back to the truth.

The City of New York seeks an Oiler to support the maintenance and operation of machinery and equipment across New York City. This role helps ensure that essential systems remain reliable and safe for daily operations. Responsibilities Operate and maintain assigned machinery and equipment Carry out routine lubrication and minor maintenance tasks Monitor equipment performance and promptly report any issues Adhere to all safety procedures and city guidelines while on duty Requirements Strong commitment to safety and dependable operations Keen attention to detail and a solid work ethic Ability to collaborate and work effectively within a team Experience with machinery or equipment maintenance is beneficial

Join Kirin as a Quantitative Research Intern focusing on the exciting field of prediction markets. This role offers a unique opportunity to immerse yourself in trading strategies while working with live capital. You will have the autonomy to make impactful decisions and witness the direct results of your efforts in a dynamic environment.Key Responsibilities:Create, evaluate, and deploy quantitative trading strategies across US equities and cryptocurrency markets.Oversee trading operations, including executing trades in real-time, managing risks, and determining position sizes.Continuously enhance and optimize existing algorithms to boost trading performance.Conduct market analyses to uncover profitable trading opportunities using statistical and machine learning techniques.Produce regular performance reports and articulate insights effectively to the team.Qualifications:Strong foundation in quantitative analysis, algorithmic trading, and statistical modeling.Proficiency in programming languages such as Python, TypeScript, Go, or Rust.Demonstrated interest or experience in cryptocurrency trading and/or US equity markets.Familiarity with trading platforms, data analysis tools, and understanding of market microstructure.Exceptional problem-solving abilities with a keen eye for detail.Capable of working independently and making swift decisions in high-pressure situations.Compensation Structure:Participate in a transparent profit-sharing model where you will trade using the company's capital, aligning your incentives directly with performance outcomes.