Careers

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity markets all over the world. We develop and use machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios.

Our firm has grown significantly in recent years, we have increased the breadth of markets in which we participate, the number and scale of our data sources, as well as the complexity of our forecasting algorithms, and we are always looking for motivated and talented individuals to join our team.

If one of the below positions interests you, we encourage you to apply at careers@trexquant.com

 

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.

Job Description
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.

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 are tradable in the real world
  • Mentoring and guidance from experienced quantitative researchers
  • Full-time offers for top performers

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

If you think a career in quantitative finance is for you, send us your resume to careers@trexquant.com


As a member of the Alpha team at Trexquant, you will be involved in developing market-neutral signals, parsing and analyzing large data sets, and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. If you are interested in working with a variety of interesting data at a growing systematic hedge fund, we invite you to apply for the Alpha Researcher position at careers@trexquant.com.

Responsibilities

  • Develop market-neutral, medium-frequency signals that predict future stock returns
  • Parse data sets to be used for future alpha development
  • Optimize the framework for creating, backtesting, and productionizing Alphas
  • Investigate and implement recent academic research
  • Apply machine learning techniques to Alpha discovery and portfolio optimization

Desired qualifications

  • Degree in a technical discipline (computer science / mathematics / statistics / physics / etc.)
  • Experience applying statistical analysis on large data sets
  • Programming skills necessary to translate ideas into python code
  • Knowledge of financial accounting is a plus

Offered 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
  • Comprehensive benefits including healthcare and insurance

As a member of the Data team at Trexquant, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data, and collaborating with the Alpha and Strategy Research team to build predictive machine learning models. If you are interested in working with a variety of interesting data at a growing systematic hedge fund, we invite you to apply for the Data Scientist position at careers@trexquant.com.

Responsibilities

  • Explore and learn about a wide range of data sets that are used to develop signals for systematic quantitative strategies
  • Develop a framework to automatically download and monitor hundreds of data sources that are vital to our trading and research
  • Create data visualizations to gain insight on large data sets, such as order-by-order tick data, present findings and results
  • Research and implement machine learning techniques to identify patterns in large data sets and create new derived variables

Desired qualifications

  • A degree in a technical discipline (computer science / mathematics / statistics/ physics / others)
  • Experience with statistical analysis and managing of large data sets
  • Knowledge of Linux, Bash, Python, and SQL Database
  • Ability to work independently and take projects to completion, quickly learn new systems, think creatively and pay attention to details

Offered benefits

  • Competitive compensation, with opportunity for outstanding monetary success
  • Work in a collaborative and friendly environment, participate in decision-making process for research direction, and have opportunity to lead on new ideas
  • Comprehensive benefits including healthcare and insurance

As a member of the Strategy team at Trexquant, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading. If you are interested in working with latest machine learning techniques at a growing systematic hedge fund, we invite you to apply for the Strategy Researcher position at careers@trexquant.com.

Responsibilities

  • Development, implementation, and optimization of machine learning models aimed at predicting equity market dynamics using a wide set of financial data and a vast library of trading signals
  • Use your methods to create systematic trading strategies and run fund capital in global markets
  • Investigate and implement recent academic research
  • Collaborate with experienced quantitative researchers and other Strategy Researchers

Desired qualifications

  • A post-graduate degree in a technical discipline (mathematics / physics / finance / others)
  • Programming experience (Python, MATLAB, other languages)
  • Knowledge of probability theory, machine learning, and optimization concepts
  • Ability to work independently and take projects to completion, ability to quickly learn about new systems, ability to communicate complex concepts, creative thinking, and attention to details

Benefits

  • Competitive salary plus bonus tied to the performance of strategies you develop
  • Comprehensive benefits including healthcare and insurance

As a member of the Software team at Trexquant, you will be developing backtesting simulators that allow researchers to do signal research, and building software infrastructure to generate and evaluate tens of thousands of signals in real time. If you are interested in working on many exciting software projects at a growing systematic hedge fund, we invite you to apply for the Software Developer position at careers@trexquant.com.

Responsibilities

  • Improve the scale and performance of our medium-frequency statistical arbitrage infrastructure (large data jobs, building thousands of trading signals per day, performing high-memory simulations, and other tasks)
  • Continue expansion of our low-latency trading system (data feeds, exchange connectivity, etc.)
  • Collaborate with researchers to implement algorithms.

Desired qualifications

  • 2+ years of hands-on development experience
  • Strong Linux skills
  • C++ and Python software development expertise; Javascript skills are a plus
  • Prior experience with developing U.S. equities trading systems is a plus
  • Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities
  • Process-driven with strong attention to detail

Benefits

  • Competitive salary plus bonus tied to your performance
  • Comprehensive benefits including healthcare and insurance

Job Description

  • Develop low – latency, low – slippage algorithms in C++ to run on co – located hardware to execute the fund’s medium – frequency order flow across thousands of U.S. equities symbols per day
  • Develop a framework to quantitatively measure and test the quality of different order types, venues, algorithm types, and execution schedules
  • Strong C++, Linux, and Python software development skills
  • Prior experience developing low – market – impact execution systems is a plus

Please send your resume to careers@trexquant.com


Job Description

  • Ensure our Red Hat / CentOS Linux servers are stable, safe, and efficient
  • Configure and monitor Data Center operations across multiple geographic locations
  • Plan, install, and administer a Disaster Recovery system for our Linux environment
  • Troubleshoot server problems with researchers and traders
  • Design and implement information security systems
  • Create robust backup processes for Linux systems
  • Concisely document the firm’s infrastructure
  • Strong interest in Linux systems and desire to build a robust and scalable infrastructure
  • 2 or more years administrative experience with Linux (Redhat 4+, CentOS)
  • 2 or more years experience in Bash shell scripting
  • 1 year of database experience (preferably MySQL)
  • Bachelor’s degree or equivalent work experience

Please send your resume to careers@trexquant.com


Job Description

  • Manage infrastructure and operate systems used to generate signals and trade medium-frequency statistical arbitrage strategies
  • Develop methods to streamline production processes and enhance stability
  • Strong Linux, Bash shell scripting, and Python skills are required. Working knowledge of Matlab is beneficial
  • Production is a mission-critical process that requires a dependable individual with strong attention to detail

Please send your resume to careers@trexquant.com