E-markets [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Commercial & Investment Bank

This role focuses on managing and optimizing electronic credit trading algorithms, involving price delivery, risk management, and data analytics. It requires experience in developing event-oriented processing engines, performing predictive modeling with deep learning methods (RNNs, LSTMs), and data analysis using various tools like Java, Python, kdb, SQL, and Tableau. The goal is to improve trading operations, manage risks, and provide solutions for clients' trading strategies within a fintech environment.

What you'd actually do

  1. Manage electronic credit trading algorithms, optimizing their performance and alignment with trading strategies to service institutional and corporate accounts.
  2. Oversee price delivery, risk management, and data analytics, including pricing and risk mitigation strategies.
  3. Perform data analysis related to the business and its revenue drivers, identifying opportunities for growth and improvement in trading operations.
  4. Implement the firm's policies for managing the risks associated with credit trading, ensuring compliance and adapting strategies as needed to mitigate potential risks.
  5. Manage risk, liquidity, and exposure, driving all aspects of trading desk operations, including pre-trade analysis, trade execution, and designing risk management strategies for large trades.

Skills

Required

  • Developing event-oriented processing engines and logic using Java
  • Performing predictive modeling using quantitative techniques and deep learning methods including probability, linear algebra, machine learning, recurrent neural networks, and long short-term memory
  • Designing and developing reports using advanced Excel and PowerPoint functionalities including VLOOKUP, INDEX MATCH, data analysis add-ons, pivots, VBA, and VBScript
  • Developing applications and maintaining version control using DevOps tools including Unix and Jenkins
  • Analyzing and processing datasets using Python, kdb, and SQL
  • Writing code to process real-time and batch data
  • Performing data structuring, design flow, and query optimization
  • Determining actions and optimizing business processes using real-time data streams and time series data
  • Automating the creation of recurring reports and dashboards using Python, Tableau, and Java frameworks
  • Translating quantitative information into actionable insights by analyzing datasets
  • Creating visuals of data using pandas, matplotlib, and Tableau

What the JD emphasized

  • Developing event-oriented processing engines and logic using Java
  • Performing predictive modeling using quantitative techniques and deep learning methods including probability, linear algebra, machine learning, recurrent neural networks, and long short-term memory
  • Analyzing and processing datasets using Python, kdb, and SQL
  • Writing code to process real-time and batch data
  • Determining actions and optimizing business processes using real-time data streams and time series data

Other signals

  • managing electronic credit trading algorithms
  • optimizing performance
  • predictive modeling using quantitative techniques and deep learning methods
  • recurrent neural networks
  • long short-term memory