This Job location open to anywhere in the world. Many academically-talented high-achieving individuals wonder if a career in quantitative finance is right for them. One of the most important and popular roles in quantitative finance is Alpha research, which involves developing profitable trading signals based on real-world data. Unfortunately, quantitative trading is a tight-knit industry and it is difficult to find detailed information about building a successful career in this field. To address this problem, Trexquant created the Global Alpha Research Program to provide a platform for career growth and advancement and give participants direct experience in buy-side Alpha research. We seek bright and passionate scientists, mathematicians, and engineers to join our talented team of Global Alpha Researchers to conduct exciting Alpha research. Our ideal candidate is analytical and creative, as well as persistent at finding strong Alphas. Responsibilities Develop market-neutral, medium-frequency Alphas that predict future stock returns Investigate and implement recent academic research Develop algorithms to filter and combine Alphas Parse data sets to be used for future alpha development Apply machine learning techniques to alpha discovery and portfolio construction Benefits Monthly compensation plus performance bonus Flexibility to work conveniently from anywhere in the world and during any time of the day Invaluable learning and networking opportunities with global hedge fund managers Access to proprietary technology platforms for exploring and converting ideas into signals that can be traded in the real world Mentoring and guidance from experienced quantitative researchers Full-time offers for top performers Show more Show less
Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity and futures markets globally. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for scientists, engineers, economists, and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. 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 alpha (strategy) development Investigate and implement state-of-the-art academic research in the field of quantitative finance Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations Requirements Graduate degree (Bachelors, Masters, or PhD) in any STEM discipline from a prestigious institution Passion for machine learning and quantitative finance Strong problem-solving skills Ability to work effectively both as an individual and a team player Proficient in programming languages such as Python Previous experience in alpha research and the development of trading signals and strategies Experience between 1 years to 10 years Benefits Competitive compensation with bonus tied to the performance of algorithms you develop Work in a collaborative and friendly environment, participate in decision-making process for research direction, and have opportunity to lead on new ideas Trexquant is an Equal Opportunity Employer Show more Show less
We're looking for a curious, careful, and energetic individual to join our team as a Compliance Analyst in our India office. This opportunity is ideal for an early career compliance professional who strives to work on diverse projects in an academically-influenced technologist culture, with mentoring and guidance from veteran staff. Responsibilities Work closely with the US-based Compliance team to maintain the Firm's anti-money laundering (AML) and countering the financing of terrorism (CFT) program, including review of investor KYC documents Perform OFAC and global sanction screening and due diligence of counterparties and independent contractors, and escalate issues to the Senior Compliance team Monitor India and China office employee communications and Code of Ethics obligations in accordance with firm policies and standards and regulatory requirements. Assist in periodic reviews and risk assessments Review trade and operational reports for aspects such as position size and changes, futures and short sale activity, and current reportable event triggers to ensure adherence with applicable rules and internal policies Collaborate closely with the US-based Compliance team to support compliance-related audits, assessments, and regulatory inquiries, as needed Ensure compliance with Indian corporate and labour laws, including coordination of statutory filings, support for employment law compliance, and liaison with local counsel or regulatory bodies as needed Requirements English language proficiency 4-7 years of prior experience in a compliance role, ideally at a quantitative adviser, technology company, or systematic trading firm Detail-oriented with ability to identify potential compliance issues or risks Strong research, analytical, and organizational skills Excellent communication skills and social awareness, with a responsive and careful approach Undergraduate degree required. An advanced degree or equivalent experience (technical, legal, or business) preferred Working knowledge of global AML laws, OFAC regulations, and sanctions screening tools is a plus Certifications such as CAMS, ICA Certificate in AML, Investment Adviser Certified Compliance Professional (IACCP) are a plus Familiarity with Indian legal and regulatory frameworks relevant to corporate governance, employment law, and regulatory reporting would be a plus Ability to work independently in a satellite office environment, with strong judgment and a proactive approach to identifying and addressing local compliance needs 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 Trexquant is an Equal Opportunity Employer
We re looking for a curious, careful, and energetic individual to join our team as a Compliance Analyst in our India office. This opportunity is ideal for an early career compliance professional who strives to work on diverse projects in an academically-influenced technologist culture, with mentoring and guidance from veteran staff. Responsibilities Work closely with the US-based Compliance team to maintain the Firm s anti-money laundering (AML) and countering the financing of terrorism (CFT) program, including review of investor KYC documents. Perform OFAC and global sanction screening and due diligence of counterparties and independent contractors, and escalate issues to the Senior Compliance team. Monitor India and China office employee communications and Code of Ethics obligations in accordance with firm policies and standards and regulatory requirements. Assist in periodic reviews and risk assessments. Review trade and operational reports for aspects such as position size and changes, futures and short sale activity, and current reportable event triggers to ensure adherence with applicable rules and internal policies. Collaborate closely with the US-based Compliance team to support compliance-related audits, assessments, and regulatory inquiries, as needed. Ensure compliance with Indian corporate and labour laws, including coordination of statutory filings, support for employment law compliance, and liaison with local counsel or regulatory bodies as needed. English language proficiency. 4-7 years of prior experience in a compliance role, ideally at a quantitative adviser, technology company, or systematic trading firm. Detail-oriented with ability to identify potential complia
Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity and futures markets globally. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for scientists, engineers, economists, and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. 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 alpha (strategy) development Investigate and implement state-of-the-art academic research in the field of quantitative finance Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations Requirements Graduate degree (Bachelors, Masters, or PhD) in any STEM discipline from a prestigious institution Passion for machine learning and quantitative finance Strong problem-solving skills Ability to work effectively both as an individual and a team player Proficient in programming languages such as Python Previous experience in alpha research and the development of trading signals and strategies Experience between 1 years to 10 years Benefits Competitive compensation with bonus tied to the performance of algorithms you develop Work in a collaborative and friendly environment, participate in decision-making process for research direction, and have opportunity to lead on new ideas Trexquant is an Equal Opportunity Employer
Trexquant is a growing investment manager serving large institutional clients. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets. With locations in the US, China, and India, our global team in excess of 100 employees is comprised primarily of research professionals with advanced science, math, and technology degrees who explore the universe of quantitative methods for opportunities to enhance and adapt our platform to make money in an exciting and dynamic environment. We seek a Global Talent Acquisition Manager who, in addition to supporting our HR needs generally, will drive our recruiting efforts to staff up the company worldwide with additional top technical, research, and corporate talent to meet its aggressive growth targets for 2025-26 and beyond. Responsibilities Develop a strategy to source top talent in a highly competitive environment Engage with industry networks, professional groups, and platforms to identify and attract seasoned professionals who can bring a depth of knowledge and expertise to our team Promote and raise awareness of Trexquant at schools, online, and elsewhere to attract talent Coordination of the overall recruiting process, ranging from promoting Trexquant and attracting candidates to arranging interviews with Trexquant team members to extending offers and onboarding successful candidates Support traditional HR management activities supporting employee programs, payroll, and benefits Requirements Strong communication skills and the ability to work independently Strong problem-solving skills and a creative approach to recruitment strategies 3+ years of experience working in Technology/Hedge Funds/Quantitative Finance firms A track record of expanding teams by sourcing top finance, data science, and software talent Benefits Competitive salary plus bonus tied to your performance We recognize the importance of continuous learning. We offer significant reimbursement for relevant online courses to ensure our team remains at the forefront of industry knowledge and best practices
We are seeking an LLM Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced machine learning models, particularly focused on natural language processing (NLP) using large language models (LLMs). The role offers a unique opportunity to work on cutting-edge technologies and algorithms that directly impact our investment strategies. Responsibilities Design, implement, and fine-tune systems incorporating large language models (LLMs) and other advanced artificial intelligence techniques for a variety of applications, including sentiment analysis, news aggregation, market predictions and data cleaning Work with vast datasets, including structured and unstructured data, to train models that generate insights and forecasts critical to investment strategies Continuously enhance the performance and efficiency of LLMs, ensuring that models are both scalable and resource-efficient Partner with portfolio quant researchers to develop models that address specific market opportunities and challenges Stay abreast of the latest NLP and LLM developments, contributing to internal thought leadership and pushing the envelope of what can be achieved Deploy machine learning models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds Identify potential risks related to LLMs and ensure appropriate safeguards are in place, especially with regard to model bias and robustness Requirements Minimum 2 years of hands-on experience working with LLMs, NLP or deep learning in a high-performance environment Experience working with large-scale datasets and deploying machine learning models in production Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models)) Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI) Strong understanding of algorithmic trading and financial data is a plus Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions Benefits Competitive salary plus bonus based on performance Collaborative, casual, and friendly work environment Weekly company meals Trexquant is an Equal Opportunity Employer
We are seeking an LLM Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced machine learning models, particularly focused on natural language processing (NLP) using large language models (LLMs). The role offers a unique opportunity to work on cutting-edge technologies and algorithms that directly impact our investment strategies. Responsibilities Design, implement, and fine-tune systems incorporating large language models (LLMs) and other advanced artificial intelligence techniques for a variety of applications, including sentiment analysis, news aggregation, market predictions and data cleaning Work with vast datasets, including structured and unstructured data, to train models that generate insights and forecasts critical to investment strategies Continuously enhance the performance and efficiency of LLMs, ensuring that models are both scalable and resource-efficient Partner with portfolio quant researchers to develop models that address specific market opportunities and challenges Stay abreast of the latest NLP and LLM developments, contributing to internal thought leadership and pushing the envelope of what can be achieved Deploy machine learning models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds Identify potential risks related to LLMs and ensure appropriate safeguards are in place, especially with regard to model bias and robustness Minimum 2 years of hands-on experience working with LLMs, NLP or deep learning in a high-performance environment Experience working with large-scale datasets and deploying machine learning models in production Knowledge of
Trexquant is a growing investment manager serving large institutional clients. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets. With locations in the US, China, and India, our global team in excess of 100 employees is comprised primarily of research professionals with advanced science, math, and technology degrees who explore the universe of quantitative methods for opportunities to enhance and adapt our platform to make money in an exciting and dynamic environment. We seek a Global Talent Acquisition Manager who, in addition to supporting our HR needs generally, will drive our recruiting efforts to staff up the company worldwide with additional top technical, research, and corporate talent to meet its aggressive growth targets for 2025-26 and beyond. Responsibilities Develop a strategy to source top talent in a highly competitive environment Engage with industry networks, professional groups, and platforms to identify and attract seasoned professionals who can bring a depth of knowledge and expertise to our team Promote and raise awareness of Trexquant at schools, online, and elsewhere to attract talent Coordination of the overall recruiting process, ranging from promoting Trexquant and attracting candidates to arranging interviews with Trexquant team members to extending offers and onboarding successful candidates Support traditional HR management activities supporting employee programs, payroll, and benefits Requirements Strong communication skills and the ability to work independently Strong problem-solving skills and a creative approach to recruitment strategies 3+ years of experience working in Technology/Hedge Funds/Quantitative Finance firms A track record of expanding teams by sourcing top finance, data science, and software talent A degree from a premier institution such as IIM, XLRI, MDI, TISS, NMIMS, or Delhi University Benefits Competitive salary plus bonus tied to your performance We recognize the importance of continuous learning. We offer significant reimbursement for relevant online courses to ensure our team remains at the forefront of industry knowledge and best practices