West Palm Beach, Florida, USA
221 days ago
Quantitative Engineering – "Systematic Credit Trader Who Codes" - Associate - West Palm Beach - Global Banking & Markets, FICC

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

 

THE GLOBAL BANKING & MARKETS DIVISION

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.

 

Job Summary

Candidates joining the Systematic Credit Trading desk are engaged in market making and its related functions in US Credit. The desk provides liquidity to clients through a diverse suite of products and channels: portfolio trades in corporate bonds, electronic corporate bond trades on vendor platforms, trades in credit ETFs, and by engaging directly with clients to structure complex transactions.

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 algorithmic trading. 

 

Responsibilities

Managing desk risk Understanding and analyzing market microstructure, incorporating findings into trading strategiesMake quantitative improvements to existing trading strategies, build new modelsConduct research on trading cost models, liquidity models, risk models, and portfolio construction methodology

Basic Qualifications 

Interest in capital marketsAbility to work in a fast-paced environment and think clearly under pressureProgramming experience in C++, Java, or PythonBachelors or Masters in a STEM areaStrong communication both written and verbalInterest in algorithmic trading Prior trading or sales experience in Credit products

Preferred Qualifications  

Past experience with quantitative research and developing large, scalable systems
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