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.

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.

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

  • A 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

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Alpha Researcher position here.

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.

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, etc.)
  • 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

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Data Scientist position here.

As a member of the Information Technology team at Trexquant, you will be responsible for the day-to-day support, management, and architecture of the firm’s overall applications and technology infrastructure (i.e. server administration, networking, telecommunications, database management, cybersecurity, and end-user support).

Responsibilities

  • Team lead in supporting and growing the firm’s IT infrastructure, including the development of policies and procedures based on best practices for document and email retention, network security and remote connectivity
  • Maintain and support all Linux servers, FreeNAS storage systems and Windows desktops
  • Setup and maintain services such as NFS, SSH, LDAP, TLS/SSL, DNSSEC, Postfix, etc.
  • Setup and maintain applications such as MySQL, Apache, Docker, PHP, Django, etc.
  • Maintain a cybersecurity plan for the firm and assist in evaluating cybersecurity initiatives
  • Maintain and support networking environment
  • Take a supporting role in expanding and supporting the firm’s business continuity plan
  • Maintain and troubleshoot portfolio management report applications (Bash, Python)
  • Serve as the primary technical liaison with administrators, prime brokers, and technology vendors to ensure a stable, integrated and scalable environment
  • Negotiate, administer and manage vendors, outsourcer, and consultant contracts and service agreements. – IT, AV and all Market Data
  • Monitor and analyze technology expenditures
  • Ensure adherence to all Legal and Compliance requirements that pertain to being a Registered Investment Adviser

Desired qualifications

  • Bachelor’s degree in Computer Science or a related technical field or 10+ years of relevant experience
  • 10+ years Linux/Unix experience (Red Hat preferred)  in a technical trading or production support role
  • 5+ years experience with storage appliances and ZFS (FreeNAS preferred)
  • 5+ years experience with networking (Sonicwall, Netgear, Cisco; TCP/IP, bonding, routing, etc.)
  • Excellent interpersonal and communication skills, both written and verbal
  • Must be extremely organized; highly effective at multitasking, able to handle multiple projects simultaneously
  • Highly motivated team player who is able to take ownership and be accountable

Offered benefits

  • Competitive compensation, with potential for outstanding monetary success and an opportunity to grow into a key management role
  • Work in a collaborative and friendly environment, participate in decision-making process for future technology adoption, and to lead new projects

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Director of IT position here.

Responsibilities

  • 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

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Execution Software Developer position here.

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

Offered 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

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Global Alpha Researcher position here.

Responsibilities

  • Ensure our Red Hat Enterprise Linux / CentOS 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

Desired qualifications

  • A strong interest in Linux systems and a desire to build a robust and scalable infrastructure
  • 2+ years administrative experience with Linux (Red Hat Enterprise Linux / CentOS 6 or later)
  • 2+ years experience in Bash shell scripting
  • 1+ years of database experience (MySQL preferred)
  • Bachelor’s degree or equivalent work experience

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Linux System Administrator position here.

Responsibilities

  • 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

Desired qualifications

  • Strong Linux, Bash shell scripting, and Python skills are required
  • A working knowledge of Matlab is preferred
  • Must be extremely organized and detail-oriented
  • Highly effective at multitasking, able to handle multiple projects simultaneously

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Production Engineer position here.

As a member of the Software team at Trexquant, you will be developing back-testing simulators that allow researchers to do signal research, and building software infrastructure to generate and evaluate tens of thousands of signals in real time.

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

Offered benefits

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

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Software Developer position here.

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.

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

Offered benefits

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

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Strategy Researcher position here.

Responsibilities

  • Develop market – neutral, medium – frequency stock return prediction signals using quantitative models
  • Implement portfolio optimization methods to efficiently combine stock return forecast signals into profitable trades utilizing Python, MATLAB or C++
  • Investigate and implement recent academic research related to financial markets
  • Parse and add financial data sets to production environment to be used for future alpha andstrategy development

Requirements

  • Master’s degree in Finance, Financial Engineering
  • 1 year experience as Trading Strategist or 1 year experience as a Quantitative Equity Research Analyst

If you are interested in working at a growing systematic hedge fund, we invite you to apply for the Trading Strategist position here.