QIS Structuring

Posted 15 Days Ago
Be an Early Applicant
Stamford, CT
Junior
Machine Learning • Business Intelligence
The Role
This role involves replicating and improving existing QIS strategies, managing data for the QIS platform, and assisting the investment team in strategy decisions and portfolio management associated with quantitative investment strategies.
Summary Generated by Built In

Description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We apply a wide variety of statistical and machine learning techniques to build investment portfolios and trade our client assets in global equity and futures markets.

This is a Structuring role within the QIS Team at Trexquant. The ideal candidate has extensive QIS Structuring (asset class agnostic) experience at an investment bank.

Responsibilities

  • Replicate and improve existing QIS strategies
  • Procure and maintain data needed for the QIS platform
  • Support the management and investment team in making decisions on which QIS strategies to invest in, generating trading signals and managing them within a portfolio
Requirements
  • Quantitative field of study/major at a competitive university with a high GPA
  • Minimum 2 years of QIS Structuring experience at a top-tier investment bank
  • Demonstrated interest and knowledge of various asset classes in financial markets
  • Strong ability to code in Python
  • Understand how to interpret and translate index rulebooks
Benefits
  • Competitive salary, plus bonus based on individual and company performance
  • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents

Top Skills

Python
The Company
HQ: Stamford, CT
67 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.

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