Trexquant Investment LP

LLM Engineer

• Design, implement, and fine-tune systems incorporating large language models (LLMs) and other advanced AI techniques for applications such as sentiment analysis, news aggregation, market predictions and data cleaning
• Work with structured and unstructured datasets to train models that generate insights and forecasts for investment strategies
• Continuously enhance performance and efficiency of LLMs to ensure scalability and resource-efficiency
• Partner with portfolio quant researchers to develop models addressing market opportunities and challenges
• Stay abreast of latest NLP and LLM developments and contribute to internal thought leadership
• Deploy machine learning models in production, integrating with existing infrastructure and real-time market data feeds
• Identify risks related to LLMs and implement safeguards for model bias and robustness

Manager

• Manage office operations, vendors, and budgets
• Support executives with scheduling, travel, and meetings
• Coordinate team events, setup and breakdown
• Maintain a professional and efficient work environment
• Ensure compliance with workplace and confidentiality standards
• Ensure rooms and common areas are clean and presentable
• Perform routine and preventive maintenance on equipment
• Conduct inventory of supplies and ensure office spaces are stocked with necessary items

Workplace Experience Manager

Full-stack Engineer

• Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust.
• Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets.
• Assist in developing tools for back testing, model training, and strategy evaluation.
• Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance.
• Participate in code reviews, testing, and documentation to maintain high-quality standards.
• Stay abreast of emerging technologies, tools, and best practices, bringing innovative ideas to continuously improve our systems.

Software Engineer - Early Career

Database Administrator

• Install, configure, and maintain database management systems (DBMS) such as MariaDB/MySQL and Postgres.
• Monitor database performance, identify issues, and implement optimizations for efficiency and scalability.
• Perform regular backups, recovery testing, and disaster recovery planning.
• Manage and secure database access and configurations.
• Optimize queries, indexes, and transaction performance.
• Lead schema design and migrations (e.g., Alembic).
• Implement infrastructure-as-code for reliable deployments.
• Collaborate with developers to design, test, and deploy database solutions that support business needs.
• Stay updated on industry trends, best practices, and emerging database technologies.

Operations

• Lead the trading team and oversee the firm’s end-to-end trading operations as a systematic trading professional.
• Collaborate closely with operations, execution, and infrastructure teams to ensure trading activities are executed smoothly, accurately, and efficiently.
• Oversee global, multi-asset trading operations—including equities, futures, corporate bonds, and other instruments—to ensure accuracy, efficiency, and reliability.
• Continuously enhance trading workflows and operational scalability with execution, operations, and infrastructure teams.
• Initiate and implement new trading-related projects and manage existing initiatives to optimize performance and minimize friction across systems and processes.
• Provide leadership and mentorship to the trading team, fostering a culture of excellence, accountability, and collaboration.

Head of Trading Operations

Platform Engineer

• Architect and maintain core components of the Data Platform with a strong focus on reliability and scalability.
• Build and maintain tools to manage data feeds, monitor validity, and ensure data timeliness.
• Design and implement event-based data orchestration pipelines.
• Evaluate and integrate data quality and observability tools via POCs and MVPs.
• Stand up a data catalog system to improve data discoverability and lineage tracking.
• Collaborate closely with infrastructure teams to support operational excellence and platform uptime.
• Write and maintain data quality checks to validate real-time and batch data.
• Validate incoming real-time data using custom Python-based validators.
• Ensure low-level data correctness and integrity, especially in high-precision environments.
• Build robust and extensible systems that will be used by data operators to ensure the health of our data ecosystem.
• Own the foundational systems used by analysts and engineers alike to trust and explore our datasets.

LLM Engineer

Workplace Experience Manager

Software Engineer - Early Career

Database Administrator

Head of Trading Operations

Data Platform Engineer