Global Alpha Trader (GLOBAL)

Trexquant Investment LP; Washington (District of Columbia); Remote; USD 120,000 - 260,000; Full time

Benefits offered by this job

Compensation based on profit share

Flexibility to work remotely

Access to proprietary technology platforms

Mentoring and guidance from experienced portfolio managers

Job summary

A global investment firm is seeking a Global Alpha Trader to leverage quantitative methods for medium-frequency portfolios and to develop systematic strategies across various asset classes. Ideal candidates will have a higher education degree and at least one year of experience operating systematic trading strategies. The position offers the flexibility to work remotely and compensation based on a share of the profits generated by trading strategies.

Qualifications

• At least one year of proven track record in operating systematic strategies in any asset class.
• At least one year of proven track record operating systematic strategies.
• Strong quantitative skills with Python data tools (NumPy, Pandas).

Responsibilities

• Use quantitative methods to systematically build medium-frequency portfolios.
• Develop systematic strategies across various asset classes.
• Apply machine learning and statistical techniques to trading.
• Simulate and execute strategies on the Trexquant Alpha Platform.

Skills

Strong quantitative skills

Proficiency in NumPy and Pandas on Python

Education

Higher education degree in Math, Engineering, Statistical Modeling, Computer Science or related fields

Tools

NumPy

Pandas

Job description

Overview

This is a global opportunity. Subject to applicable laws, you can join us from anywhere in the world. We recognize that establishing systematic strategies can be challenging, involving tasks such as setting up the data pipeline, simulating strategies, handling execution, and addressing operational concerns. As a Global Alpha Trader, you can turn your quantitative ideas into profitable strategies without the added burdens of creating a team and infrastructure from scratch.

Responsibilities

• Use quantitative methods to systematically build medium-frequency portfolios
• Develop systematic strategies across various asset classes
• Apply machine learning and statistical techniques to trading
• Simulate and execute strategies on the Trexquant Alpha Platform

Requirements

• A higher education degree (bachelor's, Master’s and Ph. D. degrees) in Math, Engineering, Statistical Modeling, Computer Science or other related fields
• At least one year of proven track record in operating systematic strategies in any asset class
• Strong quantitative skills and proficiency in numerical tools such as NumPy and Pandas on Python

Benefits

• Compensation based on a percentage of profits generated by your strategies
• Flexibility to work remotely
• Access to proprietary technology platforms which encompasses working with data, alpha development and strategy formulation
• Mentoring and guidance from experienced portfolio managers and traders

More About This Program

What is the purpose of the GAT program?

The aim of the Global Alpha Trader (GAT) program is to draw in traders who possess profitable strategies and wish to operate them on a well-established platform without the need to build everything from the ground up. We recognize that establishing systematic strategies can be challenging, involving tasks such as setting up the data pipeline, simulating strategies, handling execution, and addressing operational concerns. By becoming a part of the GAT program at Trexquant, you can focus on backtesting your strategies on our Trexquant Alpha Platform and efficiently execute your trades without the added burdens.

Who should apply to the GAT program?

We welcome individuals with experience in operating systematic strategies across various asset classes, such as global equities, futures, FX, commodities, corporate bonds, and options. While our preference lies with candidates who possess real trading experience in these strategies with a track record of at least one year, we are open to considering applicants with simulation-based experience in exceptional cases.

What is the hiring process?

The hiring process commences with an initial interview conducted by our HR personnel. If, after this initial discussion, the strategy appears promising, we will proceed to a subsequent interview to evaluate its feasibility. The final interview will be conducted by a senior member of our team. In some cases, we may also administer technical interviews and assign take-home projects as needed.

If you are selected to receive an offer as a GAT, we will provide you with a contractor agreement to review. This agreement covers intellectual property rights, conflict of interest avoidance, confidentiality, and other important terms for legal compliance and our business operations.

What kind of training do I receive?

You will undergo comprehensive training on the Trexquant Alpha Platform, which encompasses working with data, alpha development, strategy formulation, and portfolio construction.

What are GAT's responsibilities?

In your role as a GAT, your responsibilities include simulating your strategies on the Trexquant Alpha Platform. Once your strategies are approved, you will proceed to execute them, aiming to generate profits in line with the expected performance of your strategies.

How are GATs compensated?

As a GAT, your compensation will be based on a percentage share of the profits generated by your strategies.

Can GATs work remotely?

Yes, you have the option to work remotely, provided that both you and the company reach an agreement on a mutually suitable working arrangement.

Trexquant is an Equal Opportunity Employer