Trexquant Investment LP

About the Company

Trexquant is a leading quantitative finance firm specializing in the development of multi-asset portfolios through advanced machine learning methods. The firm continuously enhances its investment and research platform, utilizing a vast array of data variables to create complex trading models and strategies. These models generate trading signals aimed at outperforming market conditions globally.

Listed Jobs

Company Name

Trexquant Investment LP

Job Title

Data Scientist - Early Career (USA)

Job Description

**Job title:** Data Scientist – Early Career **Role Summary:** Focuses on a single asset class (equities, futures, bonds, options, or FX) to develop, test, and refine predictive models that drive trading strategies. Acts as the primary data expert for the chosen domain, collaborating across strategy, machine‑learning, and research teams. **Expectations:** - Deliver actionable data insights and predictive signals that enhance trading performance. - Own end‑to‑end data workflows: from data acquisition and cleaning to feature engineering and model deployment. - Maintain rigorous model validation, documentation, and compliance with firm standards. **Key Responsibilities:** - Partner with strategy and ML teams to identify profitable predictive signals and translate them into robust models. - Source, evaluate, and integrate new datasets from internal research or external vendors. - Conduct deep domain analysis of asset‑class data, attending conferences and working closely with data vendors. - Keep up with cutting‑edge data‑science and machine‑learning techniques relevant to quantitative finance. - Ensure reproducibility and maintain version-controlled pipelines for model training and evaluation. **Required Skills:** - Strong quantitative and analytical background with expertise in statistical modeling. - Proven experience developing and validating machine‑learning or econometric models. - Advanced proficiency in Python (NumPy, pandas, scikit‑learn, PyTorch/TensorFlow or equivalent). - Familiarity with data‑engineering tools (SQL, Airflow, Spark/Databricks, or similar). - Excellent problem‑solving abilities and clear communication of complex findings. **Required Education & Certifications:** - Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, Quantitative Finance, or a related STEM field. - No explicit industry certifications required, but knowledge of financial data and regulatory frameworks is a plus.

Stamford, United states

Hybrid

02-11-2025

Company Name

Trexquant Investment LP

Job Title

Software Engineer - Early Career (USA)

Job Description

Job title: Software Engineer – Early Career Role Summary: Early‑career software engineer focused on building low‑latency, high‑throughput systematic trading infrastructure, including data pipelines, back‑testing tools, and execution systems. Collaborates with researchers and traders to design and implement scalable solutions from the ground up. Expectations: Rapidly acquire domain knowledge in quantitative finance; engage in full‑stack development, system optimization, and continuous improvement of trading technology. Deliver clean, well‑tested code and contribute to code reviews and documentation. Key Responsibilities: - Design, develop, and maintain low‑latency trading and research systems in C++, C, Java, or Rust. - Build and optimize data pipelines for reliable access to large, high‑quality datasets. - Develop back‑testing, model training, and strategy evaluation tools. - Collaborate with researchers and traders to translate research ideas into production‑ready solutions. - Participate in code reviews, automated testing, and technical documentation. - Monitor emerging technologies and propose innovations to improve system performance and scalability. Required Skills: - Strong proficiency in at least one of C++, C, Java, Rust, or Python. - Solid understanding of data structures, algorithms, and object‑oriented design. - Experience with Linux operating systems and command‑line tools. - Excellent problem‑solving and rapid learning ability in a collaborative environment. - Familiarity with version control (Git) and CI/CD pipelines is a plus. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related STEM field. ---

Stamford, United states

On site

25-12-2025

Company Name

Trexquant Investment LP

Job Title

Quantitative Researcher - Early Career (USA)

Job Description

Job title: Quantitative Researcher – Early Career Role Summary: Develop and optimize machine‑learning models for market‑neutral trading signals across equities, futures, and other liquid assets, using large datasets to discover predictive features and implement systematic strategies within a hedge‑fund environment. Expectations: - Master advanced ML and statistical techniques. - Deliver robust predictive models under tight performance criteria. - Collaborate across Data, Strategy, and Alpha research teams to iterate on models and hypotheses. - Maintain rigorous experimentation and documentation standards. Key Responsibilities: - Design, implement, and tune ML models to forecast liquid asset price movements. - Parse, clean, and feature‑engineer extensive financial datasets for alpha generation. - Review and integrate cutting‑edge quantitative finance research. - Conduct simulations, backtests, and hypothesis testing with senior researchers. - Partner with Strategy and Alpha teams to translate models into market‑neutral portfolio construction. Required Skills: - Proficiency in Python and related ML libraries (scikit‑learn, XGBoost, TensorFlow/PyTorch). - Strong analytical and problem‑solving abilities. - Experience handling large, high‑frequency financial datasets. - Ability to work independently and collaborate in cross‑functional teams. - Knowledge of financial accounting and quantitative finance concepts is an advantage. Required Education & Certifications: - BS, MS, or PhD in a STEM field (Physics, Mathematics, Computer Science, Engineering, Economics, etc.).

New york city, United states

On site

26-01-2026