Trexquant Investment

Oversee and analyze risk factor exposures and trends across company portfolios in global markets. Develop and manage automated risk models across all traded asset classes and present risk metrics to senior management. | Bachelor’s, Master’s, or Ph.D. degree in a related STEM field is required. Candidates should have 5+ years of experience in portfolio risk management, preferably at a quantitative hedge fund or bank. | We are looking for an experienced Portfolio Risk Specialist to lead and grow the Risk Management Team at Trexquant. In this role, you will be responsible for enhancing our risk management platform, developing key metrics for risk analysis, and proposing and implementing risk mitigation tactics and processes as the notional footprint and number of asset classes in our quantitative portfolio continue to grow. Responsibilities Oversee and analyze risk factor exposures and trends across company portfolios in global markets Develop and manage automated risk models across all traded asset classes, including equities, credit, options, and futures, as well as at the portfolio level Design stress-test experiments and present results to senior research team members to broaden our risk considerations across various markets Partner with the Strategy, Execution, and Capital Allocation teams to develop and implement enhanced risk policies and ensure optimal risk management Collaborate with providers on macro market risk considerations, efficient margin policies, and counterparty exposure Present risk metrics and escalations to senior management and the investment committee to support timely decisions on shifting risk dynamics Bachelor’s, Master’s, or Ph.D. degree in Mathematics, Statistical Modeling, Computer Science, or another related STEM field 5+ years of experience in portfolio risk management, with exposure to cross-asset portfolios Prior experience at a quantitative hedge fund, bank, or multi-manager platform (preferred) Strong quantitative skills with exceptional attention to detail Proficiency in Python Benefits 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 Trexquant is an Equal Opportunity Employer

The Trading Systems Operations Engineer is responsible for ensuring the smooth operation and performance of trading systems infrastructure. This includes monitoring systems, responding to incidents, and collaborating with various teams to support their initiatives. | Candidates should have a Bachelor's degree in a relevant field and at least 1 year of experience as a systems operations engineer. Strong quantitative analytical skills and proficiency in Linux/Unix system administration are also required. | Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We seek a Production Engineer to join our team. The Trading Systems Operations Engineer is a vital role in supporting the operation and growth of our production systems infrastructure. The successful candidate will be responsible for ensuring the smooth operation and performance of our trading systems infrastructure as we scale. This includes systems monitoring, incident response, troubleshooting and systems performance optimization. The successful candidate will also collaborate with traders, developers, quantitative analysts and the business team to support their initiatives. Responsibilities: Monitor trading systems and infrastructure components to ensure optimal performance and reliability. Proactively identify and resolve potential issues to minimize downtime and optimize system efficiency. Respond promptly to system alerts and incidents, investigating root causes and implementing solutions to prevent recurrence. Analyze system performance metrics and identify opportunities for optimization. Implement performance tuning strategies to enhance system responsiveness and throughput. Collaborate with software developers and system architects to troubleshoot complex technical issues. Provide tech and analytical support to Research, Accounting, Investor Relations and Compliance teams eg. troubleshooting, ad hoc analysis of production data Support implementation of new trade functionality such as new asset classes or new prime brokers e.g. establish FIX sessions, file encryption, FTP setup On-call support Bachelor’s degree in Computer Science, Information Technology, or STEM-related field, Masters level or higher preferred 1+ years of experience as systems operations engineer Strong quantitative analytical skills Proficiency in Linux/Unix system administration and scripting languages (e.g., Python, Shell). Prior experience in a similar role within the financial services industry is preferred 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 Trexquant is an Equal Opportunity Employer

Identify and evaluate potential data vendors to align with business needs. Negotiate contracts and monitor vendor performance to ensure compliance and address issues. | A degree in a technical discipline and strong programming skills in Python are required. Experience in financial services and knowledge of additional programming languages is a plus. | As a Data Vendor Specialist, you will collaborate closely with researchers and data vendors to identify potential data sets that align with our business needs and evaluate their offerings to determine their suitability. Responsibilities Identify potential data vendors and evaluate their offerings to determine fit with our business needs. Negotiate favorable pricing and terms with vendors, using data-driven insights to support your arguments. Partner with Legal and Compliance to develop and manage vendor contracts, ensuring that all terms and conditions are clearly defined and aligned with our business objectives. Work collaboratively with internal researchers to understand data needs and identify opportunities for new vendor relationships. Monitor vendor performance and compliance with contract terms, taking action as necessary to address any issues. Conduct regular market research to stay up-to-date with industry trends and changes in pricing and product offerings. Build and maintain relationships with key vendor contacts to foster ongoing collaboration and partnership. Strong communication skills are essential, including the ability to clearly explain concepts and effectively articulate requirements A degree in a technical discipline (computer science, mathematics, statistics, physics, etc.) Strong programming skills in Python Knowledge of Linux, Bash, C++, and SQL Database is a plus Experience in financial services or working with financial data providers is a plus Ability to work independently and take projects to completion, quickly learn new systems, think creatively and pay attention to details Competitive salary plus bonus 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

Lead design and development of AI and LLM-driven tools for quantitative research and trading, manage a team, and provide strategic guidance on LLM applications in systematic finance. | Bachelor's or higher in STEM, 2+ years experience with LLM technologies, leadership experience managing quantitative teams, strong quantitative and communication skills. | We are seeking a Head of a LLM Application Team to lead the design and development of cutting-edge AI and large language model (LLM)-driven tools within a systematic hedge fund environment. The ideal candidate will have a strong track record of deploying LLM technologies in real-world applications and be excited to explore transformative use cases across quantitative research and trading. Responsibilities Design and build next-generation tools that support quantitative researchers and help generate actionable trade signals. Collaborate with existing machine learning teams to explore novel applications of LLM technologies across various aspects of systematic trading. Serve as a thought leader on LLM advancements, guiding the team and organization in leveraging state-of-the-art techniques to inspire transformative applications in systematic finance. Serve as a subject matter expert on LLM advancements, providing strategic guidance on integrating state-of-the-art techniques to enhance systematic investment strategies. Partner with portfolio managers and quant researchers to develop models that address specific market inefficiencies and trading opportunities. Lead and build a high-performing team of machine learning engineers and researchers, fostering innovation and excellence. Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields. 2+ years of experience in researching and applying LLM technologies. Proven leadership experience in managing a team of quantitative members. Strong quantitative and communication 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. Trexquant is an Equal Opportunity Employer