Systematic Credit Trader Codes - FICC - Global Banking & Markets - Associate - West Palm

Global Banking & Markets, FICC - Systematic Credit Trader Who Codes, Associate - West Palm Beach

The Global Banking & Markets Division seeks an Associate for its Systematic Credit Trading desk, focusing on US Credit market making and systematic strategies, particularly within the Total Return Swap business. Candidates should have strong mathematical skills, programming experience (in Slang, C++, Java, or Python), effective communication abilities, and an interest in systematic trading, with preferred experience in credit products and funding or lending businesses.

Responsibilities include improving risk management and funding models, managing desk risk, and writing efficient, well-tested code.

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

Candidates joining the Systematic Credit Trading desk are engaged in market making and its related functions in US Credit. Team members combine their mathematical, programming and market expertise to build and generate systematic strategies. The desk looks for individuals with strong communication, both written and verbal, strong mathematical skillsets, programming experience, and who are motivated to get hands on experience with systematic trading.

This role is specifically focused on the desk's nascent Total Return Swap business - both the delta and funding side of the business.

• Make quantitative improvements to risk management and funding models
• Assist with managing desk risk
• Write efficient, well-tested code to accomplish the above

• Programming experience in Slang, C++, Java, or Python
• Bachelors or Masters in a STEM area
• Strong communication both written and verbal
• Interest in systematic trading

• Prior experience with Credit products
• Prior experience in a funding or lending business