Fixed Income ETF Quant Trader

Albert Bow•New York City, NY
•Onsite

About The Position

This role is for a VP Quant Trader on the US Fixed Income ETF Desk at a top-tier bank. The position focuses on driving the desk's systematic approach to pricing, hedging, and trading ETFs. It requires a blend of market knowledge, coding skills, and experience in building pricing and risk systems for fixed income. The role involves market making, risk management, model development, strategy creation, and ownership of trading tools and automation. Collaboration with technology teams to scale e-trading is also a key aspect.

Requirements

  • Solid trading background in bond ETFs, cash bonds, portfolio trading or a similar electronic market making business
  • A real grip on ETF arb, the create/redeem process, how bond markets are structured and how liquidity is supplied
  • A track record of building systematic trading, pricing or risk models
  • Strong Python, plus experience with big datasets and e-trading platforms
  • Sound knowledge of rates, credit, index methodology and portfolio analytics
  • The ability to blend gut feel for the market with research and tech
  • A degree in a numbers-heavy subject such as maths, stats, physics, engineering, CS or finance

Nice To Haves

  • Someone who wants to build, not just maintain.
  • Has helped stand up systematic fixed income trading before.
  • Likes a lean, fast-moving setup, and wants to help grow one of the leading bond ETF desks in the US.

Responsibilities

  • Make markets and run risk on US-listed bond ETFs across govies, IG, HY and niche sectors
  • Build and sharpen the desk's models for pricing, hedging, basket design and RV
  • Create systematic strategies that tighten execution, manage inventory better and lift returns per unit of risk
  • Dig into ETF flows, create/redeem activity, liquidity in the underlying bonds and how primary and secondary prices interact
  • Own the desk's tooling, analytics and automation for trading and portfolio risk
  • Work hand in hand with tech to scale the e-trading setup
  • Back up capital markets and sales with liquidity and execution know-how
  • Quote electronic credit RFQs, portfolio trades and wider credit enquiries off a systematic pricing engine
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