Algorithmic Credit Trader (Quantitative Credit Trading)
Core
Design, build, and maintain proprietary databases and data infrastructure to support systematic credit trading activities across cash bonds, CDS, indices, and ETFs.
Role type
Senior quantitative credit trader (algorithmic)
Builds
Multi-factor quantitative models, pricing engines, risk management frameworks, and portfolio analytics tools for systematic credit strategies.
Domain
Financial services / Quantitative trading / Credit markets
Deliverable
production ML models
Required skills
Python, statistical modeling, machine learning, market microstructure, fixed income and credit products, database architectures, market data APIs, risk management systems, portfolio management, electronic trading venues
Preferred skills
Cloud-based data environments, automated execution frameworks, Bloomberg Terminal, KDB, Grafana, MarketAxess, Tradeweb, ETF primary market processes
Responsibilities
Develop and deploy multi-factor quantitative models to identify trading opportunities; Build pricing engines and risk management frameworks; Monitor and optimize execution quality and transaction costs; Manage granular P&L frameworks and risk analytics; Partner with technology and data science teams; Support market access initiatives and new issue trading.
Seniority
Senior, hands-on IC
