Associate​/VP, Credit Systematic Algo Trader

Overview

We are looking to add a systematic trader to the High Yield Credit Trading team. This role focuses on building and deploying automated market‑making strategies for both single‑name and portfolio‑level HY corporate bonds, working with traders, salespeople, and customers to drive P&L and market‑share gains within high‑yield markets.

• Price client inquiries across multiple electronic and voice channels.
• Manage risk in the largest book on the High Yield Desk through single‑line voice trading and cross‑asset hedging.
• Monitor live strategies with focus on P&L attribution, drawdown control, and risk exposures.
• Research and develop quantitative models for corporate bond returns and pricing in partnership with QSG and Technology groups.
• Partner closely with HY traders to codify discretionary views into systematic frameworks.
• Build and enhance back‑testing tools, signal‑generation pipelines, and performance analytics.
• Work with large, noisy datasets including TRACE data.
• Contribute to automation and scaling of trading workflows across the desk.

• 2–7 years of experience in systematic trading or quantitative research.
• Strong understanding of markets with credit experience a plus.
• Strong programming skills in Python.
• Ability to develop trading signals or models in a research or production environment.
• Solid foundation in statistics, time‑series analysis, and data‑science techniques.
• Familiarity with market microstructure, particularly in OTC credit markets, is preferred.
• Strong communication skills and ability to partner with discretionary traders.

Shift: 1st shift (United States of America)

Hours per week: 40

Pay range: $ – $ annualized salary, offers determined based on experience, education, and skill set. Discretionary incentive eligible; eligible to participate in the annual discretionary plan.

Benefits:
This role is currently benefits eligible. Industry‑leading benefits, paid time off, and resources are available to support employees’ professional and personal well‑being.