Job Description

Global Credit Trading Algorithmic Credit Trader

Our Business

The NAMR Credit Markets franchise is a leading market maker in credit derivatives and corporate bonds. J.P. Morgan provides financial assets and liquidity for banks, insurance companies, finance companies, mutual funds and hedge funds. Traders, salespeople and research analysts work collectively to generate ideas and make secondary markets in high grade/high yield bonds/CDS, distressed bonds, trade claims, indices, exotics, and illiquid credits.

Opportunity

We are looking for a strong and experienced quantitative individual with extensive experience working on a trading desk. Ideally, the right candidate would have extensive experience in Fixed Income and Equities systematic market-making, algo trading systems, execution and hedging strategies, flow internalization microstructure research, short term price/volume prediction models, client flow analysis.

Key Responsibilities

The credit trader will work as part of the trading team on the credit floor in New York with a focus on credit markets, primarily corporates bonds and any related instruments. The environment is fast-paced and challenging. The individual must be responsible, independent and able to work in smooth coordination with the larger team to drive the desk's revenue.

The individual will cover a wide range of responsibilities and work closely with the trading desk to drive revenue and expand the business. These include designing trading and execution strategies; researching micro-patterns and trends; building, maintaining and upgrading applications & tools; supporting day-to-day operation. Some on call time will be expected.

* Work with trading professionals in various countries to help tailor efficient pricing strategies for the corporate bond universe;
* Help derive semi-automatic hedging solutions for risk management to help extract the best values out of our flows;
* Perform statistical analysis of algorithmic orders (RFQ) to evaluate execution, understand price and market impact and to drive iterative improvements in our workflow and strategies;
* Help develop limit-order-book-like models specifically for the credit markets;
* Work in close collaboration with sales to explore ways to expand our e-commerce footprint in the region;
* Look for unique automated trading opportunities in North America to drive our trading revenue;
* Understand the firm's approach and policies for managing risks in relevant business and applicable legal and regulatory rules, and follows policies;
* Balance potentially competing needs across clients, internal partners and the firm;
* Understand the cross-asset element of credit and developing models that incorporate all the elements that drive the pricing of the credit market;
* Help develop the appropriate back-testing and simulation framework for optimising the appropriate workflow.

Requirements

* Interest in market microstructures and quantitative trading in global markets;
* Demonstrable proficiency in code design and programming skills, with primary focus on Python and Java;
* Must: Demonstrable proficiency in Machine Learning;
* Interest in applying agile development practices in a front-office trading environment;
* Excellent verbal and written communication skills as this position involve frequent interaction with different teams in the firm;
* Demonstrable proficiency with market and product terminology;
* Ability to think strategically and creatively when faced with problems and opportunities. Always looking for new ways of doing things and understanding the benefits of leveraging the firms scale;
* Understands the different types of risk;
* Ability to communicate concepts and ideas, both verbally and via documentation, and be able to defend their validity and target messages to different audiences.

Desirables

* Advanced degree (Ph.D, Masters or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Relevant academic research publications would be desirable;
* Experience with data schemas and data structures useful;
* Demonstrable trading experience
* Demonstrable programming background;
* Understanding of the electronic marketplace landscape, in particular Bloomberg, MarketAxess, Tradeweb, or similar ECNs in other Fixed Income asset classes;
* Direct experience of agile software methodologies;
* Robust testing and verification practices;
* Attention to detail is essential.