Quant jobs / Old Mission

Quantitative Researcher (Fixed Income)

A research role in Old Mission's growing fixed income operation in Chicago, focused on US corporate bonds. It involves signals, pricing and risk models and execution quality.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Explore bond, exchange quote and third-party pricing data for signals
Build models forecasting prices, bid-ask spreads and liquidity
Backtest and refine them with regression and machine learning
Assess execution quality and transaction costs in US credit
Contribute to risk and pricing models

What they ask for

Required

US corporate bond experience
Python, VBA or R
TCA and execution quality for US credit
Strong mathematics and programming
Advanced quantitative degree
Communication

Preferred

Credit pricing and credit curve models
RFQ-based trading
Bayesian filtering or Hidden Markov Models
Intraday credit curve modelling

Education: Advanced degree in a quantitative field, preferably a PhD in engineering, statistics, maths or a hard science
Experience: Demonstrated US corporate bond experience
Languages and tools: Python
VBA
R
Markets: fixed-income, credit, commodities

How to prepare

Learn how US corporate bonds trade: dealers, RFQ and TRACE data
Build a bid-ask spread or liquidity model from public bond data
Study credit curve construction and spread analytics
Practise Bayesian filtering and Hidden Markov Models on noisy price series

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Old Mission’s site before applying: requirements, location and pay can change after we check them.

View the posting on Old Mission’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Old Mission and doesn’t handle applications.