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Job Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Volatility team. This role will be pivotal in helping to scale up a growing Volatility focused research group, and will work closely with our Head of Volatility to execute on our strategic roadmap. The role will focus on building volatility specific tooling, as well as on researching signals & strategies for trading within the volatility markets. The ideal candidate will have expertise in volatility modeling, statistical analysis, and a deep understanding of volatility market dynamics. Responsibilities • Build and maintain proprietary pricing/analytics tooling for volatility research., • Calibrate implied volatility surfaces across single stock, index, ETF options and more. Work with developers to productionize models and integrate them into backtesting and live trading systems., • Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • BS/MS/PhD degree in a STEM field., • 5+ years of experience in quantitative research, specifically focused on volatility markets., • Proficiency in programming languages like Python and statistical modeling., • Experience with industry volatility models; strong understanding of options pricing., • Familiarity with C++ a nice to have., • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Senior Grant Writer & Researcher The Senior Grant Writer & Researcher is responsible for leading NJRC’s grant development strategy by securing and managing complex public and private funding opportunities. This role oversees the full grant lifecycle, from prospect research and proposal development to post-award reporting and compliance, and serves as a subject matter expert for research, evaluation, and data-driven storytelling. This is a full-time position, located in Kearny, New Jersey. Key Responsibilities • Lead the research, development, writing, and submission of complex federal, state, local, and private grant proposals., • Develop and manage NJRC’s grant strategy and pipeline in alignment with organizational priorities and funding goals., • Serve as the primary liaison with funders regarding proposal development, reporting, compliance, and renewals., • Collaborate with executive leadership, program leadership, and finance to develop compelling narratives, logic models, budgets, and sustainability plans., • Oversee post-award grant management, including compliance monitoring, progress reporting, and outcome measurement., • Design and support research and evaluation frameworks to assess program effectiveness and organizational impact., • Analyze qualitative and quantitative data to support grant reports, funding justifications, and strategic decision-making., • Maintain high-quality grant documentation, institutional data, and funding records., • Mentor and guide associate-level grant staff, as applicable., • Stay current on funding trends, policy changes, and best practices in nonprofit grantmaking and research. Education • Bachelor’s degree required in History, Economics, Public Administration, Social Sciences, Nonprofit Management, Policy, or a related field., • Enrollment in or completion of a graduate, doctoral, or professional degree program (e.g., MPA, MSW, MPH, JD, PhD, or related disciplines) is strongly preferred., • Candidates currently pursuing advanced degrees, including law students or doctoral candidates with evening or flexible academic schedules, are encouraged to apply., • 5+ years of progressive experience in grant writing and research, with a strong record of securing significant funding from government and/or private sources., • Demonstrated experience leading complex, multi-year, or multi-million-dollar grant proposals., • Experience in the nonprofit or public sector; familiarity with workforce development, reentry, or human services strongly preferred., • Advanced grant writing, editing, and storytelling skills., • Strong analytical, research, and data interpretation skills., • Ability to manage multiple high-priority deadlines independently., • Proficiency in Microsoft Office Suite and grant management or CRM systems., • Strong project management, collaboration, and leadership skills., • Strategic thinking and funding acumen, • High attention to detail and accountability, • Leadership and mentoring ability, • Strong relationship-building and communication skills, • Sound judgment and discretion Salary range is $85,000 - $100,000 annually. Equal Opportunity Employer Statement NJRC is an equal opportunity employer and is committed to creating an inclusive environment for all employees.

Job DescriptionCompStak is a pioneer in crowdsourced commercial real estate (CRE) data and analytics. Our platform transforms raw lease, sales, and property data into actionable insights for brokers, lenders, landlords, and investors. As we expand our data products, the scale and sophistication of our data pipelines and analytical systems are critical to delivering reliable, timely, and high-quality insights to our customers. Location: New York, NY (Hybrid- Three days per week in the office, subject to change) We are seeking a Quantitative Researcher – Real Estate & Econometrics with a strong foundation in economics, econometrics, finance, or commercial real estate and an interest in applying quantitative modeling to real-world market behavior. This role is ideal for someone who understands how markets work, has experience working with data, and wants to apply (and grow) modern analytical and data science methods within a commercial real estate context. In this role, you will help shape how CompStak analyzes, models, and interprets market dynamics by combining domain expertise with econometric and quantitative techniques. Your mission is to:-Apply econometric and statistical modeling to analyze and forecast trends in commercial real estate and related economic drivers.-Learn and apply modern analytical and machine learning techniques as needed to enhance insights and support CompStak’s data products.-Build scalable workflows that integrate structured CRE datasets with new, unstructured sources to support data enrichment and automation.-Collaborate closely with engineering, product, and data teams to develop data-driven solutions.-Bridge domain knowledge and quantitative methods to deliver models that are accurate, interpretable, and meaningful for business decisions.Responsibilities • Develop econometric and predictive models: Use quantitative methods to identify patterns, forecast trends, and interpret economic relationships in CRE markets., • Build and optimize data workflows: Create and refine data ingestion and transformation pipelines for structured and unstructured commercial real estate datasets., • Ensure data quality: Clean, validate, and reconcile datasets from diverse sources to ensure accuracy and reliability., • Communicate insights: Translate complex quantitative analysis into clear, actionable insights for both technical and non-technical stakeholders., • Stay current: Keep up with developments in econometrics, applied analytics, and trends in CRE markets and data science.Skills & Experience, • 3+ years of experience in an econometrics-focused or analytical role (e.g., economics research, finance, market analysis, consulting, commercial real estate, or corporate strategy)., • Strong understanding of econometrics, applied statistics, and quantitative modeling, demonstrated through academic or professional experience., • Proficiency in Python and familiarity with analytical/ML libraries (pandas, NumPy, scikit-learn, XGBoost)., • Experience working with large or complex datasets and using data to study market dynamics., • Excellent organizational, communication, and stakeholder management skills., • Bonus: Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., Hugging Face, LangChain, PyTorch/TensorFlow).

Job DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Palantir Design Team is responsible for the human experience of using our software. Our team is growing rapidly, but we're committed to creating a tight-knit team environment that fosters trust, integrity, empathy, and growth. We work together in realizing a shared product vision, and regularly give feedback and critique to each other. Designing at Palantir is a varied experience. On a given day, you might be: leading a design sprint for your product team; designing a micro-interaction to make a complex analytical task feel simple; and/or advocating for UX consistency by creating flexible, reusable UI components. Designers at Palantir develop a deep understanding of the problems our customers face while solving some of the world’s most unique challenges. Our mission is to build generalizable and scalable solutions that elegantly handle the complexity of these problem spaces.Core Responsibilities • Interaction and visual design. As a product designer, you'll be involved at every stage of design work. You'll help define early product concepts, flesh out the high-level workflow and micro-interactions of a feature, and execute on a crisp and effective visual design. You should have experience designing and prototyping using tools such as Figma., • User research. We frequently do informal user research, and value people who can be flexible with research processes and methodologies to achieve the right outcome. You'll often visit customer offices to interview and learn from the users we serve. You'll pair qualitative methods (e.g. scripted usability tests and contextual inquiry) with quantitative information, like product and usage metrics., • Deliver and communicate designs in close collaboration. We work closely with product and forward deployed engineers to realize our design ideas. You'll treat engineers and product managers as partners and collaborate with them to prototype and build out products., • An iterative design process. You validate your ideas early (with stakeholders and users) and are thoughtful and intentional in seeking and responding to feedback. You move fast, listen, and adapt. You rapidly incorporate feedback, and prioritize collaboration. You are adept at giving and receiving critiques., • Collaboration and communication. You can build great relationships with engineers, PMs, and other stakeholders—and convey your design rationale to them. To reach these audiences, you'll communicate your designs through a variety of methods: presenting your mockups, making prototypes, sharing a design spec., • Thoughtful, intentional work. You know that form informs function and usability—that the surface layer doesn’t exist in a vacuum. Your design decisions are often informed by—and will influence—engineering and business considerations., • Dedication to the user. You'll design software that changes how people use data in government and commercial contexts. You strive to understand our users—who can range from a manufacturing plant worker to a pharmaceutical researcher—and fight to empower them., • Excitement for solving hard, complex problems. You are excited to design for technically complex and data dense interfaces.You thrive in an environment where you can jump into deep subject matter expertise to define simple, approachable, yet still powerful product experiences.What We Require, • Active US Security clearance or eligibility and willingness to obtain a US Security clearance.

Job DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Palantir Design Team is responsible for the human experience of using our software. Our team is growing rapidly, but we're committed to creating a tight-knit team environment that fosters trust, integrity, empathy, and growth. We work together in realizing a shared product vision, and regularly give feedback and critique to each other. Designing at Palantir is a varied experience. On a given day, you might be: leading a design sprint for your product team; designing a micro-interaction to make a complex analytical task feel simple; and/or advocating for UX consistency by creating flexible, reusable UI components. Core Responsibilities • An iterative design process. You validate your ideas early (with stakeholders and users) and are thoughtful and intentional in seeking and responding to feedback. You move fast, listen, and adapt. You rapidly incorporate feedback, and prioritize collaboration. You are adept at giving and receiving critiques., • Collaboration and communication. You can build great relationships with engineers, PMs, and other stakeholders—and convey your design rationale to them. To reach these audiences, you'll communicate your designs through a variety of methods: presenting your mockups, making prototypes, sharing a design spec., • Thoughtful, intentional work. You know that form informs function and usability—that the surface layer doesn’t exist in a vacuum. Your design decisions are often informed by—and will influence—engineering and business considerations., • Dedication to the user. You'll design software that changes how people use data in government, commercial, and philanthropic contexts. You strive to understand our users—who can range from a manufacturing plant worker to a pharmaceutical researcher—and fight to empower them.What We Require, • Active US Security clearance or eligibility and willingness to obtain a US Security clearance.

Job Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Futures team. This role focuses on researching and developing quantitative models for trading and risk management within the futures markets. The ideal candidate will have expertise in financial modeling, statistical analysis, and a deep understanding of market dynamics. Responsibilities • Design, implement, and optimize trading strategies to predict futures market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for futures trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • BS/MS/PhD degree in a STEM field., • 2+ years of experience in quantitative research, preferably within futures markets., • Passion for machine learning., • Proficiency in programming languages like Python and statistical modeling., • Strong problem-solving skills., • Ability to work effectively both independently and as part of a team. Benefits • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Summary The Quantitative UX Researcher will lead the development, management, and analysis of large‑scale tracking surveys that inform product and user experience decisions. This role requires deep expertise in quantitative research methods, survey design, and statistical analysis, along with the ability to operate effectively in fast‑paced, ambiguous environments. Candidates must hold a Bachelor's degree with at least seven years of relevant experience, a Master's degree with five years of experience, or a PhD with a minimum of two years of experience in user experience research or a related field. Key Responsibilities • Design, manage, and analyze large‑scale tracking surveys, with a focus on longitudinal UX measurement., • Produce comprehensive research reports that translate complex data into clear, actionable insights., • Prioritize and manage multiple research initiatives in rapidly evolving environments., • Generate insights that inform both ongoing product development and future research opportunities., • Bachelor's degree with 7+ years of relevant UX research experience, or Master's degree with 5+ years of experience, or PhD with 2+ years of experience., • Demonstrated proficiency in R, particularly the Tidyverse ecosystem., • Experience in survey design, item development, and large‑scale data collection., • Strong foundation in statistical analysis, including descriptive statistics, regressions, ANOVA, and t‑tests., • Hands‑on experience conducting primary research., • Proficiency with Google Workspace tools., • Advanced coding skills in R (Tidyverse)., • Survey design and item development expertise., • Python programming experience., • Familiarity with Google Suite applications. Required: Bachelor's, Master's, or PhD in a relevant field such as Psychology, Statistics, Human‑Computer Interaction, or Social Sciences. Day‑to‑Day Responsibilities • Design, manage, and analyze large‑scale tracking surveys., • Develop detailed research reports and presentations., • Prioritize research tasks in a fast‑changing environment., • Large‑scale tracking surveys measuring user experience across Facebook‑related issues., • Longitudinal studies monitoring UX trends over time., • Data‑driven research initiatives that guide product strategy., • Experience conducting government‑scale surveys., • Specializes in quantitative UX research., • Focuses on survey‑based insights to improve product and user experience., • Quality, clarity, and impact of research insights., • Timely and effective project execution., • Navigating rapidly changing research priorities., • Balancing multiple concurrent projects. Location: United States (Remote) Role type: Contract 8 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • 8 hour shift, • English (Required)

Job DescriptionAbout Us Nourish is on a mission to improve people's health by making it easy to eat well. More than half of Americans have a chronic condition related to what they eat, and poor nutrition is the number one driver of preventable death. Health is the most important thing in the world, and yet our society is sicker than it has ever been due to unhealthy modern lifestyles. Nourish is addressing this healthcare crisis by helping people eat better, more easily, with our food-as-medicine platform. The Nourish mobile app provides a comprehensive approach to wellness through personalized visits with Registered Dietitians, health progress tracking, personalized content, meal logging, recipe/meal planning, AI chat, and more. We already have thousands of dietitians and hundreds of thousands of patients on the platform. Our patients span a wide range of nutrition-related conditions including diabetes, eating disorders, kidney disease, GI conditions, cancer, obesity/weight management, cardiovascular disease, and more. We are live in all 50 states. We are growing quickly, have partnered with national health insurance companies and provider groups, and have raised over $44M from top-tier VCs including Index Ventures, Thrive Capital, Maverick Ventures, Y Combinator, and Box Group, amongst others. Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion. Learn more about us in TechCrunch here and read about our recent Series A here. About the Role We're looking for a Staff User Researcher to lead strategic research across Nourish's patient and provider ecosystems. You'll uncover insights that guide product direction, improve clinical and patient experiences, and shape how nutrition care is delivered at scale. This is a senior individual contributor role for someone who's comfortable working autonomously on ambiguous, high-impact questions—equally strong at fieldwork and at influencing senior stakeholders. You'll partner closely with design, product, and clinical leadership to ensure every decision is grounded in a deep understanding of both sides of our marketplace: patients seeking help and dietitians providing care. This person will join our small design team and report directly to our Head of Design. We care deeply about our work, but we try not to take ourselves too seriously. We believe that empathy, trust, and collaboration are what drive the best outcomes and that work can feel like play! This role is full-time in NYC (in-person candidates only), with flexibility for some remote work. Nourish has an NYC office in the heart of Silicon Alley. Check out 'EPD at Nourish' to learn more about our team! Key Responsibilities • Lead research strategy across patient, provider, and internal tooling experiences, defining the learning agenda that informs company-level priorities, • Conduct generative and evaluative research to explore user needs, motivations, and friction points across the full care journey, from onboarding through long-term engagement, • Shape product direction by translating research insights into clear, actionable opportunities for product, design, and clinical operations, • Develop frameworks and mental models that clarify how patients and dietitians interact, and where Nourish can deliver differentiated value, • Mentor and guide cross-functional partners (designers, PMs, and data analysts, clinical, marketing, PPM) on research best practices, helping to scale the research mindset across the org, • Partner with data science and clinical ops to triangulate qualitative and quantitative insights, surfacing patterns in behavior, retention, and outcomes, • Tell compelling stories that bring our constituents to life through artifacts, workshops, and strategic narratives that influence at the leadership level, • Champion an inclusive approach to research that represents diverse users and ensures accessibility and equity in the patient experienceKey Qualifications, • 8–12+ years of applied user research experience in high-growth product organizations (consumer, health tech, telehealth, or two-sided marketplaces strongly preferred), • Mastery of core qualitative methods (interviews, field studies, concept testing, journey mapping, usability testing) and strong fluency with complementary quantitative methods, • Demonstrated success driving strategic impact—influencing product or business direction, not just validating existing ideas, • Experience researching service-oriented or clinical workflows, ideally in healthcare, wellness, or B2C/B2B2C contexts, • Exceptional communication and storytelling ability; you make insights tangible and drive alignment through clarity and empathy, • A track record of mentoring or coaching researchers or designers, elevating the overall craft bar, • Fluency in research tooling (Dovetail, Airtable, UserTesting, Maze, Amplitude, etc.), • Graduate degree in Human-Computer Interaction, Cognitive Psychology, Anthropology, or related field (or equivalent hands-on experience)Nice to Have, • Experience working in a regulated or clinical domain, navigating privacy and compliance constraints with creativity, • Familiarity with insurance and healthcare systems in the US, • Comfort balancing speed and rigor in a startup environment, • Experience with remote, asynchronous collaborationWhat Success Looks Like, • Research insights directly inform Nourish's product roadmap and care model evolution, • Leadership looks to you as a thought partner for framing the big questions, • Product teams consistently rely on research to shape what they build and why, • The organization develops a shared, evidence-based understanding of its users: patients, providers, and internal stakeholders

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. Our Quantitative Researchers are embedded within the following teams: Alpha Researcher: As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. Data Scientist: As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models. Strategy Researcher: As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher. During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best research team that closely aligns with your skills and preference. Your Responsibilities: • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals, • Parse data sets to be used for future alpha(strategy) development, • Investigate and implement state-of-the-art academic research in the field of quantitative finance, • BS/MS/PhD degree in any stem field, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Ability to work effectively both as an individual and a team player, • Knowledge of financial accounting is a plus, • Competitive salary plus bonus based on individual and company performance, • Collaborative, casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. As a Quantitative Researcher you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. While we are open to researchers in any asset class we are currently focusing on roles in equities, futures, commodities, and event driven research. Responsibilities • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading., • Investigate and implement state-of-the-art academic research in the field of quantitative finance., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis. Requirements • BS/MS/PhD degree in any stem field, • 2+ years in a systematic trading environment, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Competitive salary plus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job DescriptionAbout the Role We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure. What You'll Do • Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets., • Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities., • Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment., • Collaborate with engineering and trading teams to deploy and monitor strategies in live production., • Continuously refine signal stability, robustness, and decay profiles across changing market regimes.What We Look For, • 5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies., • Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality., • Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets., • Experience in cross-sectional modeling and statistical arbitrage frameworks across equities., • Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.Nice to Have, • Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA)., • Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact)., • Track record of successful signal ideas contributing to live PnL.Summary, • You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won't manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you. Pay Range: • Actual salary is commensurate with candidate's relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.

Job Description We are looking for an experienced systematic futures quantitative researcher to lead our Futures Team. In this role, you will be responsible for leading a team of researchers in researching, implementing, and trading profitable futures based systematic strategies within Trexquant’s core product. Your work will expand our existing systematic futures program as a meaningful asset class in our proven quantitative processes. Responsibilities • Expand our current futures effort by further identifying data and signals useful for building and backtesting various futures strategies., • Work with the development team to improve accuracy, robustness, and speed of our platform in simulating and trading proposed futures based strategies., • Design and Implement futures based strategies and partner with the execution and financing teams to optimize execution of strategies, harmonizing with existing investments and asset classes., • Align with the risk team to establish monitoring and controls for futures specific risk exposures as well as capital allocation among our incumbent strategies., • Regularly present to senior management to collaborate and align quantitative credit research with overall trading and investment strategies. Requirements • 5+ years of experience in researching and trading quantitative futures based strategies., • Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields., • Proven leadership experience in managing a team of quantitative researchers., • Strong quantitative skills., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job DescriptionDescriptionOverview The Strategy & Public Impact team is The New York Public Library’s central node of information and insights about its users, usage, and impact. We support decision makers and program staff across the institution through business intelligence, impact assessment, strategic conversations, user research, and data mentorship. The Patron Impact & Satisfaction Researcher will play an important role in helping the Library meet its full potential as a vital, relevant, and accessible public institution that is equitably used across our service area. Our patrons’ satisfaction with the quality and outcomes of their library experience not only influences their future library use - it can also shape their views of, and support for, civic institutions and public life more broadly. The Patron Impact & Satisfaction Researcher’s mandate is the development, analysis, and dissemination of survey-derived metrics tracking our patron (and broader community) experience, satisfaction, and impact, at the level of the Library overall, as well as its specific programs and services. This is a great opportunity for someone interested in applying their research and analytical skills to identifying the drivers underlying library “magic” and recommending ways to broaden and deepen it, thereby enhancing our benefit to the communities we serve. Key responsibilities • Metric development: Translate outcome and impact goals from internal logic models into a core set of experience, satisfaction, and impact measures for specific offerings, and for the Library overall, • Survey development and testing: Operationalize these metrics into survey questions to be administered to patrons and community members, • Data infrastructure: Build the process by which these metrics are regularly gathered, at scale, in living data streams across the Library’s physical and digital touchpoints, • Data monitoring: Develop approaches to continuously track patterns in metrics, • Data analysis: Determine the core drivers underlying experience, satisfaction, and impact across time, location, audience, and at key points in service life cycle, • Synthesis with other research: Build bridges between these metrics and the Strategy & Public Impact team’s other data streams, marrying trends and insights from survey responses to patterns of usage (e.g. attendance, borrowing), • Opportunity identification: Make programmatic and policy recommendations to better fulfill unmet patron and community needs, • Get acquainted with Strategy and Public Impact patron research approaches and our qualitative and quantitative data streams, • Learn the organizational structure of the Library, meet our key internal stakeholders, and absorb what we have already learned about our patrons and the communities they come from, • Become proficient in our ongoing patron research, existing metrics and key reports, and identify areas of patron experience and library impact for core metric development, • Take primary responsibility for survey-based research: from understanding the research questions, through translating them into survey questions and methodologies, and fielding patron and staff surveys, to analyzing and synthesizing the results, • Suggest ways of enriching and deepening the findings from qualitative research and surveys with other data streams (e.g., circulation or visits), • Independently prepare reports communicating our findings to various internal and external audiences, • Bachelor’s degree required, a graduate degree in social science or other relevant discipline recommended, • 2 years of hands-on professional experience - or an equivalent combination of education and work experience - in an applied research role involving survey and metrics development and analysis, • Strong command of survey methods and evaluation methodologies, including potential research questions and techniques and research tools/software, • Familiarity with core statistical techniques such as significance testing, correlation, regression, distributions, factor and cluster analysis, and basic predictive modeling, • Basic proficiency in R (preferred), Python, or other statistical programming language, • Advanced proficiency in Microsoft Office and Google apps suites, especially Excel and Google sheets, • Ability to systematize output from, and detect patterns within, qualitative data sets, • Ability to independently produce high-standard, presentation-ready deliverables, • Ability to clearly and persuasively communicate analytical insights and methodologies verbally, visually, and in writing to employees at all levels of the organization, • Ability to to establish trusting relationships within a diverse organization, across multiple levels of management and staff, • Demonstrated learning mindset, with a continual appetite for developing skills, asking new questions, and absorbing information More...Please Note: Effective August 2, 2021, absent a qualifying exception for medical or religious reasons, newly hired employees of the New York Public Library must present proof of receipt of a COVID-19 vaccination and may not begin employment at the Library until 14 days after their receipt of their second dose of either the Pfizer or Moderna vaccines or 14 days after their first dose of the Johnson & Johnson vaccine. Newly hired employees who need additional time to receive their vaccination prior to their start date may request an adjournment of their start date with their hiring manager. The Library will consider such requests on a case by case basis, depending upon the Library’s operational needs, among other factors. The Library will further consider exemptions for prospective employees who cannot become vaccinated due to a qualifying medical condition or a sincerely held religious belief or practice. Candidates who receive a conditional offer of employment and who seek a medical or religious exemption to the Library’s vaccination policy will be provided with additional instructions at the time of the conditional offer. Core Values All team members are expected and encouraged to embody the NYPL Core Values: • Be Helpful to patrons and colleagues, • Be Resourceful in solving problems, • Be Curious in all aspects of your work, • Be Welcoming and InclusiveWork Environment Physical Duties Union/Non Union Non-Union FLSA Status Exempt Schedule • 35 hrs/week

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting. Responsibilities • Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers., • Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows., • Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing., • Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs., • Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors., • Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability., • Prototype and deploy internal data applications that enhance research productivity and data transparency., • Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements • 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment., • Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes)., • Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems)., • Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies., • Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts., • Ability to translate research needs into efficient data schemas and access patterns., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field., • Strong collaboration, communication, and documentation skills., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are now open for our NYC office, opening in September 2026. The base salary range is $175,000.00 - $200,00.00 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus.

Job Description About the Role We are seeking a UX Researcher to join the Creation team, where you will play a pivotal role in shaping the future of generative AI (GENAI) experiences on a leading social platform. Your research will be foundational to the team's success, driving the discovery of latent user needs, informing product strategy, and enabling rapid iteration and market readiness for GENAI-powered features. Key Responsibilities • Partner with researchers, designers, product managers, and engineers to identify, define, and deliver impactful products for GENAI initiatives., • Develop and execute comprehensive research roadmaps that align with product goals and timelines, working both independently and collaboratively., • Lead and manage research studies across all phases of the product development cycle, from scoping needs and designing plans to conducting studies and synthesizing actionable insights., • Influence product strategy, execution, and go-to-market planning by providing data-driven insights that guide the development and refinement of GENAI features., • Oversee and coordinate with external research vendors to expand team capabilities and ensure high-quality research outcomes., • Proven track record of successful research execution within large-scale product ecosystems., • Demonstrated ability to independently lead research projects from inception to completion, including scoping, planning, execution, and insight delivery., • Strong ability to collaborate with cross-functional teams, driving alignment and momentum across disciplines., • Extensive experience designing and executing qualitative research studies, with the ability to leverage data to support hypotheses and product decisions., • Exceptional verbal and written communication skills, with the ability to distill complex findings into clear, compelling narratives for diverse audiences., • Experience working with AI technologies, particularly in the context of product research or development., • Expertise in advanced quantitative research methodologies and analytics. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Location: Remote (NYC strongly preferred) Role type: Contract - 6 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • 8 hour shift, • English (Required)

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the role Hinge is hiring a Lead UX Researcher to improve user experiences on Hinge around the globe and champion inclusive, data-driven innovation across our product groups. In this role, you’ll explore how daters around the world find and form meaningful connections—both by driving growth through new markets and audiences, and by ensuring our platform enables fair, equitable, and accessible experiences for everyone. You’ll lead mixed-methods research that combines qualitative and quantitative insights to guide product development and ensure our app is a trusted way to find a relationship, for all. Responsibilities • Lead research strategy: Build and drive the research roadmap for Growth product teams, ensuring that research informs product decision making and drives product strategy., • Develop and execute end-to-end research: Conduct end-to-end research using appropriate methods that range from strategic to iterative and evaluative to help the team achieve goals., • Growth experience: including research into international expansion, monetization and/or merchandising., • Building inclusive products: Experience thinking through different audiences’ needs, pain points and behaviors, including working with accessibility needs in mind., • Being a strategic cross-functional partner: Work in close collaboration with other researchers and cross-functional partners (i.e., product managers, designers, data scientists, customer experience, marketing and brand strategy) to identify key research questions and prioritize projects in the short and long term., • Deliver high-impact insights at velocity: Generate actionable insights that help teams make decisions and build momentum towards our mission., • Champion culture and clarity: Model honest, empathetic communication and help cross-functional partners navigate ambiguity with confidence and care.What We're Looking For, • 6+ years of user research experience, including 2-3 years of experience in a consumer-facing product research role., • Experience with international research in non-US markets, • Experience working on monetization, subscriptions or new revenue streams or zero-to-one products., • Possess strong quantitative (e.g., survey, experimental) skills and expertise with developing frameworks for model measurement.), • Strong communicator, committed to telling clear and compelling stories with data., • Proficient in data manipulation, analysis, and dashboard creation with R, Python, SPSS, and/or Looker (or similar statistical software.), • Proactive at building and sustaining trusting, successful relationships with cross-functional partners (e.g. data science, customer experience, product management, design, engineering, and marketing.), • Eager to learn from, collaborate with, and mentor other researchers., • Passion for inclusive and accessible design and strategy #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description QUANTITATIVE ANALYST - Global Investment Firm J Harlan Group is currently conducting a search for a QUANTITATIVE ANALYST at a prominent Global Investment Firm in NYC. They're seeking an exceptional Quantitative Analyst to apply mathematical techniques and write software to develop, analyze, and implement statistical models for their computerized financial trading strategies. They utilize their creativity and innovation to create novel approaches to trade profitably in markets around the globe with a firm that offers a collegial, collaborative, and engaging working environment. They will expect you to be agile / to lead / to think outside the box. In return, they'll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that's how we help our clients succeed. Principal Responsibilities: The team is tasked with building advanced quantitative and statistical methods to produce models and prescriptive data that result in optimal investment decisions. Specific responsibilities range from leveraging financial data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas, formulating them into systematic strategies, and critically evaluating their performance. The ideal candidate would have a background and a deep passion for working as a quantitative analyst / researcher within the investment community. This role is ideal for someone passionate about quantitative research, financial engineering, and applying deep technical knowledge to real-world investment challenges. • Successful candidates will have impressive records of academic achievement and be the top students in their respective math, statistics, physics, engineering, computer science, and other technical and quantitative programs., • Quantitative financial engineering experience (i.e. systematic trading strategies) and a high level of interest in global financial markets – candidates from both industry and academia with a broad range of quantitative investment and /or financial engineering experience, • Candidates should be innovative and analytical thinkers with strong communication skills, and they should demonstrate proficiency with the numerical and statistical tools needed to develop robust signals from market data., • Ability to work in an open collaborative and highly charged investment environment., • Strong desire to contribute and build a business – not just solve novel problems. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focuses on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The expected annual base salary for this position is $225,000 for applicants who have completed undergraduate or master's degrees and $250,000 for applicants who have completed PhDs (or have comparable professional experience). Their compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, a sign-on bonus, a relocation bonus, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program

Job DescriptionCompany Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution—transforming complex datasets into predictive trading signals that capture short-term market opportunities. You’ll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don’t stay in theory but turn into real, monetized strategies. Key Responsibilities: • Perform rigorous, time-sensitive applied research across diverse data sources—including high-frequency market data and alternative datasets—to uncover systematic anomalies., • Design and engineer predictive features that can be rapidly tested and deployed into production strategies., • Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation., • Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently.Qualifications, • Bachelor, Master’s or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution., • 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred., • Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves., • Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code., • Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor., • High sense of ownership, urgency, and accountability. Additional Information What we offer: • Experience a modern international technology company without the burden of bureaucracy., • Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more., • Enjoy excellent opportunities for professional growth and self-realization., • Work remotely from anywhere in the world with a flexible schedule., • Receive compensation for health insurance, sports activities, and non-professional training.

Job Description Trexquant is seeking an experienced quantitative researcher to lead our Systematic ETF Strategy Team. In this role, you will manage a team of researchers focused on designing, implementing, and trading systematic ETF-based strategies within Trexquant’s core quantitative framework. Your leadership will play a critical role in scaling ETF strategies into a meaningful asset class for the firm. Responsibilities • Lead and mentor a team of researchers to expand ETF capabilities by identifying new data sources, signals, and strategies., • Oversee the design, backtesting, and implementation of systematic ETF trading strategies., • Collaborate with the development team to enhance the performance, robustness, and scalability of ETF simulation and trading infrastructure., • Partner with execution and financing teams to optimize trade execution and capital efficiency., • Work with the risk team to establish monitoring frameworks, controls, and capital allocation processes specific to ETF exposures., • 5+ years of experience researching and trading quantitative ETF-based strategies., • Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field., • Proven leadership experience managing quantitative research teams., • Strong quantitative, analytical, and problem-solving skills., • Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus. Benefits • Competitive salary with performance-based bonus., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company-provided meals. Applications are now open for our NYC office, opening in September 2026. The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background. Base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance based bonus. Trexquant is an Equal Opportunity Employer

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Keywords: Quantitative Researcher, Location: New York, NY. Associate Algorithm Researcher- New York, NY- Monitor the portfolio of live trading strats & make adjstmnts based on mkt conditions, recent strat perf & behavior, & risk & capital limits. Comp Sci, Comp Engg, SW Engg, or a re

Summer Intern 2026 - Quantitative Researcher. Five Rings offers an intensive 9 week summer internship program that runs from the beginning of June through the beginning of August. With offices in New York, Boca Raton, London and Amsterdam, Five Rings trades in various domestic and international mark

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This is a high-impact role that sits directly within the PM's investment group, with a particular focus on systematic strategies involving credit indices (e.

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