Head of Systematic Credit Strategy Team (USA)

Posted 19 Days Ago
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Stamford, CT
Senior level
Machine Learning • Business Intelligence
The Role
The Head of Systematic Credit Strategy Team is responsible for leading a team of researchers in developing systematic credit strategies. The role involves optimizing trading strategies, enhancing data pipelines, and ensuring robust risk monitoring while collaborating closely with senior management and various teams to align research with overall investment strategies.
Summary Generated by Built In

Description

We are looking for an experienced credit investment specialist to develop strategies and lead our Quantitative Credit Team. In this role, you will be responsible for leading a team of researchers in researching, implementing, and trading profitable credit based systematic strategies within Trexquant’s core product. Your work will expand our existing systematic credit program and proliferate credit as a meaningful asset class in our proven quantitative processes.

Responsibilities

  • Expand our existing program by further identifying data useful for building and backtesting proposed credit trading strategies, along with the pipelines to feed datasets into our research and trading platforms.
  • Work with the development team to improve accuracy, robustness, and speed of our platform in simulating and trading proposed credit based strategies.
  • Develop credit based strategies and partner with the execution and financing teams to optimize execution of strategies, harmonizing with existing investments and asset classes.
  • Align with the risk team to establish monitoring and controls for credit specific risk exposures as well as capital allocation among our incumbent strategies.
  • Lead the Quant Credit Team to continually add, enhance and monitor credit alphas for the ongoing profitability and scale of the team’s strategies.
  • Regularly present to senior management to collaborate and align quantitative credit research with overall trading and investment strategies.
Requirements
  • 5+ years of experience in researching and trading quantitative credit based strategies.
  • Experience managing or leading a team of quant researchers.
  • Strong quantitative skills.
  • Proficiency in Python.
  • Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields.
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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