CIB QR - Quantitative Research - Credit E-Trading Desk Strategist – Vice President CIB QR - Quantitative Research - Credit E-Trading  …

J.P.Morgan
in New York, NY, United States
Permanent, Full time
Last application, 03 Jul 19
Competitive
J.P.Morgan
in New York, NY, United States
Permanent, Full time
Last application, 03 Jul 19
Competitive
CIB QR - Quantitative Research - Credit E-Trading Desk Strategist – Vice President
About J.P. Morgan
J.P. Morgan is a leader in financial services, working in collaboration across the globe to deliver the best solutions and advice to meet our clients' needs, anywhere in the world. We operate in 150 countries, and hold leadership positions across our businesses. We have an exceptional team of employees who work hard to do the right thing for our clients and the firm, every day. This is why we are the most respected financial institution in the world - and why we can offer you an outstanding career.

Our business

J.P. Morgan Global Credit Trading business is a global leading market maker in bonds, credit derivatives, exotic products and solutions. It offers first-class, highly integrated financial services to a global client base and 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 provide markets to clients.

Our team

The Credit QR Electronic Market Making team works closely with traders to cover Credit flow products, including Corporate Bonds and Index products. We apply a scientific approach to trading by combining an understanding of market microstructure with modern data analytics to develop quoting, market-making and hedging strategies. The team is also responsible for improving traders' workflow and creating new analytical tools.

The Credit QR EMM team is a part of Spread QR, which is responsible for developing and maintaining models for valuation, risk, P&L calculations and analysis tools for the Credit, SPG and Public Finance businesses. The responsibilities of the team span the full range from new model specification, applying for model approval, implementation of model in library, to integration into production systems as well as their day-to-day support.

Opportunity

This exciting opportunity is at the intersection of trading, data science and quantitative research. The candidate would join our Spread QR EMM team in New York as a Vice President, but be embedded on the Credit Trading desk and work closely with traders on data-driven decision making. This is a unique opportunity to get exposure to trading and markets while maximally leveraging the candidate's quantitative skill set.

Key responsibilities could include:

  • Using data science and statistics to produce data-driven, actionable insights for trading
  • Monitoring performance of e-trading models and platform to identify opportunities for improvement
  • Analyzing and reporting on trading/profitability/market share data
  • Driving design, roll-out and adoption of new models and trading systems on the trading desk
  • Raising awareness of the latest cutting-edge tools and technology available to the desk
  • Liaise with QR and Technology to execute and roll out improvements to desk processes
  • Build prototype applications for the desk to quickly evaluate ideas



Requirements
We work in a very dynamic environment, and excellent communication skills are required in our interaction with trading, technology, and control functions. A passion for trading and markets is essential, as is a solid foundation in mathematics and statistics. The role requires a detailed understanding of both electronic trading as well as Credit markets, gained from at least 3 years of previous experience. A STEM undergraduate degree from a top tier institution is required. A graduate degree is preferred.

Essential skills:
  • Exceptionally strong in math, statistics and problem solving: calculus, linear algebra, probability, regression, time series analysis
  • Excellent practical data-analysis skills on real datasets, gained through hands-on experience
  • Credit market structure knowledge, especially regarding electronic platforms and protocols
  • Knowledge of electronic trading and market making systems and best practices
  • Familiarity with tools and methods of exploratory data analysis, visualization and modeling in Python e.g., pandas, scipy, sklearn, Jupyter
  • Experience programming with object-oriented languages (i.e. Python, C++, etc)
  • Knowledge of economics, finance and markets
  • Attention to detail: consistently produces accurate work and high quality written presentations
  • Excellent communication and presentation skills; can clearly and succinctly summarize analysis for trading and management
  • Ability to work in a high-pressure environment
  • Pro-active attitude. Should have a natural interest to learn about our business, models and technology platform
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