Experienced Quantitative Researcher at Trexquant | Beijing

Join Trexquant, a pioneering systematic hedge fund that leverages thousands of statistical algorithms to trade across equity, futures, and various global markets. Our team utilizes extensive datasets to create comprehensive feature sets and employ cutting-edge machine learning techniques to identify trading signals, seamlessly integrating them into market-neutral portfolios. We seek talented data scientists, physicists, engineers, economists, and programmers dedicated to crafting the next wave of machine learning strategies for accurately forecasting the future movements of fluid financial assets.As a Quantitative Researcher, you will play a crucial role in creating market-neutral signals, analyzing vast datasets, and collaborating with our Data and Strategy Research team to develop a diverse array of predictive models. While we welcome expertise across asset classes, our current focus is on equities, futures, commodities, and event-driven research.

Join our innovative team at Trexquant as an AI Engineer, where you will be integral in the development, optimization, and deployment of state-of-the-art AI workflows and tools. This role presents a unique chance to work with the latest technologies that significantly influence our investment strategies.Design and implement advanced systems utilizing large language models (LLMs), vector databases, and various AI tools for quantitative research applications such as literature review, data search, and code generation.Deploy, monitor, and enhance AI systems to ensure scalability and reliability.Collaborate with portfolio quantitative researchers to develop AI tools tailored to specific market challenges and opportunities.Stay updated on the latest advancements in AI, contributing to internal thought leadership and pushing the boundaries of what's achievable.Deploy AI models in production settings, ensuring seamless integration with existing infrastructure and real-time market data streams.Identify potential AI-related risks and implement necessary safeguards to address model bias and robustness.

TrexQuant is on the lookout for a senior alpha producer to take on the role of Co-Head of Alpha Research in our dynamic Beijing office.This position is a blend of hands-on research and leadership for an established researcher with a proven ability to generate profitable and scalable equity alpha. Your mission will be clear: enhance alpha production while simultaneously scaling and uplifting our local research platform.You will collaborate closely with the current Head of Research in China, sharing leadership responsibilities as our team grows. It is crucial to have production credibility as this role is not solely focused on managerial oversight.Key Responsibilities:Co-lead the research function in China, upholding high standards of research quality and reproducibility while conducting structured research reviews.Generate unique, robust, and scalable equity alpha, directly contributing to our live trading P&L.Enhance research quality across the office while scaling the team without compromising standards.Independently create, validate, and implement profitable trading signals to drive alpha generation.Refine existing research methodologies, fostering innovation in modeling, data utilization, and signal creation with a strong emphasis on statistical discipline and out-of-sample validation.Define thematic priorities and research roadmaps to steer the platform's future direction.Mentor team members by coaching researchers, nurturing high-potential talent, maintaining a rigorous hiring standard, and ensuring that growth does not affect alpha quality.Qualifications:BS/MS/PhD in a STEM field.5+ years of experience in systematic equity alpha research.Demonstrated track record of producing statistically robust and profitable trading signals.Direct contributions to live P&L.In-depth understanding of signal decay, capacity management, risk controls, and strategies to mitigate overfitting.Proficient in programming and research infrastructure.Benefits:Attractive compensation package with bonuses linked to the performance of the algorithms you create.Collaborative and friendly work environment where you can actively participate in decision-making regarding research direction, with opportunities to lead innovative ideas.Comprehensive benefits, including healthcare and insurance.

Join Trexquant, a pioneering quantitative investment fund founded in 2014, as we manage a substantial multi-billion dollar portfolio of equities and other liquid assets across global markets. Utilizing an extensive array of data sets, we apply innovative machine learning techniques to identify trading signals and integrate them into market-neutral portfolios. Our team, composed of seasoned professionals with backgrounds in leading hedge funds, is dedicated to fostering a culture of problem-solving through quantitative analysis.Responsibilities: Dive deep into diverse datasets to uncover signals for systematic quantitative strategies. Research and apply cutting-edge academic findings in machine learning and quantitative finance. Craft features from unique data sets to enhance the predictive accuracy of our models. Utilize machine learning techniques for alpha discovery and portfolio construction. Requirements:Recent graduates from the class of 2027 are encouraged to apply.A strong enthusiasm for machine learning and quantitative finance.Exceptional problem-solving abilities and a collaborative mindset.Proficiency in Python; knowledge of financial accounting is an advantage.Prior experience in quantitative research is preferred.Availability for a full-time, on-site internship in Beijing from July to September 2026.Effective communication skills in English.Benefits: Engage in a supportive team environment where your input shapes research directions and you can spearhead innovative ideas. Receive mentorship and guidance from experienced quantitative researchers. Access to proprietary technology platforms for transforming ideas into actionable trading signals. Potential to transition into a full-time role upon successful completion of the internship. Trexquant is proud to be an Equal Opportunity Employer.

Join Trexquant, a pioneering systematic hedge fund leveraging advanced statistical algorithms to trade across global markets, including equities and futures. Our mission is to harness extensive data sets to develop innovative features and apply machine learning techniques to uncover trading signals, amalgamating them into market-neutral portfolios. We are on the lookout for exceptional talent from diverse fields such as data science, physics, engineering, economics, and programming to create the next wave of machine learning strategies that accurately forecast the movements of liquid financial assets.As a Quantitative Researcher, you will be integrated into one of our specialized teams:Alpha Researcher: In this role, you will focus on generating market-neutral signals, analyzing substantial data sets, and collaborating with our Data and Strategy Research team to construct a varied array of predictive models.Strategy Researcher (Machine Learning Track): Here, you will be tasked with creating systematic strategies utilizing a range of machine learning and statistical methodologies, with data derived from real market trades.Upon applying for a Quantitative Researcher position, we will evaluate your core competencies to ensure a fitting match with our research teams that align with your skills and interests.Key Responsibilities:Develop medium-frequency, market-neutral signals to predict future stock returns.Design, implement, and optimize machine learning models to anticipate liquid asset movements using a comprehensive set of financial data.Analyze data sets to inform future alpha (strategy) development.Explore and apply cutting-edge academic research in quantitative finance.Collaborate with seasoned quantitative researchers to conduct experiments and test hypotheses through simulations.Qualifications:BS/MS/PhD in a STEM field.Strong enthusiasm for machine learning applications.Proficient in programming languages, particularly Python.Excellent problem-solving capabilities.Able to work independently as well as collaboratively within a team.Familiarity with financial accounting is an asset.A background in quantitative finance is advantageous but not required.Benefits:Attractive compensation package with performance-based bonuses tied to the algorithms you develop.Collaborative and supportive work environment, involving you in the decision-making process regarding research directions, with opportunities to lead new initiatives.

Role overview The Quantitative Research Analyst at NielsenIQ in Beijing plays a key part in analyzing complex data sets. The work centers on using quantitative methods to uncover insights that help shape business decisions. This position supports a range of research projects and involves close collaboration with teams throughout the company. What you will do Use quantitative techniques to analyze large and diverse data sets Generate clear insights that inform and guide client strategies Work with colleagues from various departments on research initiatives Help develop solutions aimed at improving outcomes for clients

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Join Trexquant, an innovative investment management firm dedicated to serving prestigious institutional clients. We leverage advanced statistical and machine learning techniques to craft investment portfolios and manage client assets across global equity and futures markets. With offices in the US, China, and India, our team consists predominantly of research professionals holding advanced degrees in science, mathematics, and technology. We are committed to exploring and enhancing our quantitative methods to thrive in a dynamic and exciting financial landscape.Position Overview:As a Talent Acquisition Partner at Trexquant, you will be instrumental in spearheading the comprehensive recruitment process. Your responsibilities will include maintaining recruitment channels, posting job advertisements, screening applications, coordinating interviews, streamlining hiring processes, and negotiating offers. By employing innovative strategies to attract top-tier talent in a competitive market, you will engage with industry networks to identify candidates who will significantly contribute to our team's success. You will also support campus recruitment initiatives and develop recruitment tools to optimize operational efficiency.Key Responsibilities:Lead the end-to-end recruitment process, including managing channels, posting job listings, reviewing resumes, scheduling interviews, refining processes, and handling offer negotiations.Establish and nurture effective recruitment channels through targeted headhunting and ongoing engagement with top talent.Stay updated on industry trends and market dynamics to craft and execute sophisticated talent sourcing and outreach strategies. Screen and assess candidates to align with recruitment objectives.Support campus recruitment efforts by building relationships with target universities and coordinating recruitment events.

About AppLovinAppLovin develops cutting-edge technologies that empower businesses of all sizes to connect with their ideal customers. Our comprehensive software and AI solutions enable companies to reach, monetize, and expand their global audiences. To learn more about our innovative offerings, visit: www.applovin.com.Our mission is fueled by a diverse global team whose life experiences, backgrounds, and perspectives mirror those of our developers and customers worldwide. At AppLovin, we are dedicated to fostering a collaborative culture and seek candidates who excel individually while uplifting others.Recognized by Fortune as one of the Best Workplaces in the Bay Area and a Certified Great Place to Work for four consecutive years (2021-2024), you can explore our accolades HERE.A Day In The LifeWe are on the lookout for a talented and passionate Machine Learning Engineer to join our Research Science team. In this role, you will focus on optimizing machine learning models and enhancing performance within advertising technology, aiming to improve the effectiveness and efficiency of ad placements.The ideal candidate will not only possess an excellent academic and technical background but will also actively contribute to teamwork, staying abreast of cutting-edge technologies and independently identifying and resolving challenges.At AppLovin, you will collaborate with some of the world’s leading developers to create optimal advertising systems and infrastructure. Your skills and expertise will directly translate into visible business growth.We encourage bold innovation and uphold a culture of engineering excellence while rejecting bureaucracy. If you are passionate about technology and aspire to use it to create wealth and effect change, you’ll find like-minded individuals here.The Impact You’ll MakeDevelop and enhance machine learning models related to ad placements to increase predictive accuracy and effectiveness.Work with cross-functional teams to improve data pipelines, optimize model inference performance, and refine monitoring systems.Stay updated on the latest advancements in machine learning and advertising technology, assessing their potential impact on company operations. Implement cutting-edge research into practical projects to drive technological innovation.Proactively identify potential issues and areas for optimization within ad placement systems, proposing viable solutions. Design and conduct experiments to validate hypotheses and optimize model and system performance.Collaborate closely with our talented machine learning engineers, data scientists, and software engineers to seamlessly integrate your solutions into our platform.Who You AreMaster’s or PhD in Computer Science, Mathematics, Statistics, Machine Learning, or a related field.Strong theoretical foundation and practical experience in machine learning, familiar with common algorithms and tools (e.g., Python, TensorFlow, PyTorch).Experience in model optimization and inference performance enhancement, understanding relevant technologies and methods.Outstanding teamwork abilities, adept at communication and collaboration, with a proactive approach to contributing within a team.A strong desire to learn and ability to independently identify and solve problems, quickly adapting to technological changes.Additional StrengthsExperience in advertising technology or related fields.Proficiency in C++ development.Publications in leading conferences on recommendation systems or advertising (e.g., KDD, NeurIPS, SIGIR, Recsys) are a plus.

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